Data Engineer Jobs in Manchester

BoltonAs a data engineer specialising in generative AI ; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they can be maintained. Salary: Circa £45,000 - £55,000 depending on experience Dynamic (hybrid) working: 2-3 days per week on-site due to workload classification Security Clearance: British Citizen Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you:

Company bonus: Up to £2,500 (based on company performance and will vary year to year)

Pension: maximum total (employer and employee) contribution of up to 14%

Overtime: opportunity for paid overtime

Flexi Leave: Up to 15 additional days

Flexible working: We welcome applicants who are looking for flexible working arrangements

Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments

Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…

The opportunity: The MBDA IM GenAI delivery Office department is looking for an experienced data engineer able to evaluate design, deploy, improve and support MBDA data sets.You will ensure MBDA data pipelines are designed to be resilient, secure and responsive. You will use your data engineering expertise to collaborate with different internal customers regarding their data, ensuring they are optimised and secured for their needs.You will provide your knowledge in data management and data quality to guarantee compliance to MBDA data governance. A key part of this role is keeping up to date with new technology, where you will provide insight on our technology roadmap and deliver cutting edge solutions to our internal customers. What we’re looking for from you:

SQL technologies skills (e.g. MS SQL, Oracle…)

noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J…)

Data exchange and processing skills (e.g. ETL, ESB, API…)

Development (e.g. Python) skills

Big data technologies knowledge (e.g. Hadoop stack)

Knowledge in NLP (Natural Language Processing)

Knowledge in OCR (Object Character Recognition)

Knowledge in Generative AI (Artificial Intelligence) would be advantageous

Experience in containerisation technologies (e.g. Docker) would be advantageous

Knowledge in the industrial and / or defence sector would be advantageous

Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a givenMBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more…We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-RM1

Senior BI Analyst (Tableau and SQL)

45,000 - 60,000 + strong benefitsFull Time / PermanentManchester / Hybrid (2-3 days a week in the office)The CompanyMy client are a well-established and innovative digital agency who deliver strategic consultancy, web development, and digital marketing to an impressive portfolio of high profile clients.The RoleThis is a growth related opportunity for an experienced BI Analyst who is looking for a role where they can genuinely make a big impact in a short space of time.The BI Analyst will take ownership of a cloud-based data infrastructure and reporting ecosystem playing a critical role in transforming fragmented data into trusted, structured systems that power decision-making across the business.This is a hybrid role working from my client’s Manchester head office 2-3 days a week.Skills and Experience required

Must be a proven BI Analyst with strong technical expertise and a natural curiosity for data.

Must be a self-starter who loves getting stuck in and has a real passion for finding solutions.

It is absolutely essential that have proven commercial experience using Tableau to build dashboards and reports.

Must also have strong SQL skills and be comfortable writing and editing SQL queries to manipulate and extract data.

Any experience working with cloud-based tools like Google Sheets or HubSpot would be great but are not essential and can be learned.

Please apply via the advert or contact (url removed) for more information.Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Lead Data Engineer

TPXImpact Holdings Plc

About The RoleJob level: 10Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice.In this role, you will:

Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible.

Coordinate teams and set best practices and standards when it comes to data engineering principles.

Champion data engineering across projects and clients.

Responsibilities

Lead by example, holding responsibilities for team culture, and how projects deliver the most impact and value to our clients.

Be accountable for the strategic direction, delivery and growth of our work.

Lead teams, strands of work and outcomes, owning commercial responsibilities.

Hold and manage uncertainty and ambiguity on behalf of clients and our teams.

Ensure teams and projects are inclusive through how you lead and manage others.

Effectively own and hold the story of our work, ensuring we measure progress against client goals and our DT missions.

Work with our teams to influence and own how we deliver more value to clients, working with time and budget constraints.

Strategically plan the overall project and apply methods and approaches.

Demonstrably share work with wider audiences.

Elevate ideas through how you write, speak and present.

Dimensions

Headcount:Typically leads a multidisciplinary team or multiple workstreams (team size 515)

Resource complexity:Provides leadership across multiple workstreams or technical domains within a project or programme. Responsible for delivery coordination, prioritisation, and quality, often overseeing more junior leads or specialists.

Problem-solving responsibility:Solves highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity.

Change management requirements:Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working.

Internal/External interactions:Acts as a trusted partner to client and internal stakeholders at multiple levels. Leads workshops, presentations, and stakeholder engagement to ensure buy-in, alignment, and delivery clarity.

Strategic timeframe working towards:Works across mid- to long-term delivery cycles (612 months), ensuring that near-term work supports broader programme and client objectives.

About YouProfessional knowledge and experienceEssential

Proven experience in data engineering, data integration and data modelling

Expertise with cloud platforms (e.g. AWS, Azure, GCP)

Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks)

Expertise with multiple data analytics tools (e.g. Power BI)

Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling

Proficiency in advanced programming languages (Python/PySpark, SQL)

Experience in data pipeline orchestration (e.g. Airflow, Data Factory)

Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc)

Ability to communicate technical concepts to both technical and non-technical audiences

Proven experience in delivery of complex projects in a fast paced environment with tight deadlines

Desirable

Advanced knowledge of data governance, data standards and best practices.

Experience in a consultancy environment, demonstrating flexibility and adaptability to client needs.

Experience defining and enforcing data engineering standards, patterns, and reusable frameworks

Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer)

SkillsData Development Process

Design, build and test data products that are complex or large scale

Build and lead teams to complete data integration services integration and reusable pipelines that meet performance, quality and scalability standards

Collaborate with architects to align solutions with enterprise data strategy and target architectures

Data Engineering and Manipulation

Work with data analysts, engineers and data science and AI specialists to design and deliver products into the organisation effectively.

Understand the reasons for cleansing and preparing data before including it in data products and can put reusable processes and checks in place.

Access and use a range of architectures (including cloud and on-premise) and data manipulation and transformation tools deployed within the organisation.

Optimise data pipelines and queries for performance and cost efficiency in distributed environments

Testing (Data)

Review requirements and specifications, and define system integration testing conditions for complex data products and support others to do the same

Identify and manage issues and risks associated with complex data products and support others to do the same

Analyse and report system test activities and results for complex data products and support others to do the same

Other Skills

Proficiency in developing and maintaining complex data models (conceptual, logical and physical).

Strong skills in data governance and metadata management.

Experience with data integration design and implementation.

Ability to write efficient, maintainable code for large scale data systems.

Experience with CI/CD pipelines, version control, and infrastructure-as-code (e.g. Git, Azure DevOps).

Strong stakeholder communication skills, with the ability to translate technical concepts into business terms.

Ability to mentor junior engineers, foster collaboration, and build a high-performing data engineering culture.

Behaviours and PACT values

Purpose:Be values-driven, recognising that our client’s needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.

Accountability:Be accountable for delivering your part of a project on time and under budget and working well with other leaders.Lead by example, promoting a culture where quality and client experience are foremost.

Craft:Balance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.

Togetherness:Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients.

About UsPeople-Powered TransformationWe’re a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, were creating sustainable solutions ready for an ever-evolving world.At the heart of TPXimpact, were collaborative and empathetic. Were a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. Thats why we believe in people-powered transformation.Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting.Benefits Include:

30 days holiday + bank holidays

2 volunteer days for causes that you are passionate about

Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave

Life assurance

Employer pension contribution of 5%

Health cash plan

Personal learning and development budget

Employee Assistance Programme

Access to equity in the business through a Share Incentive Plan

Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme

Financial advice

Health assessments

About TPXimpact - Digital TransformationWe drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities.By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact.Were an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview.

Job DescriptionWe’re looking for a mid-level AWS Data Engineer to help us build and run reliable, scalable data pipelines. You’ll turn raw data from multiple data sources into trusted datasets for our internal users, working closely with analysts, data scientists, and the wider team. You will be responsible for developing pipelines end-to-end, but should also be happy working with established systems and architecture.This is a great opportunity to join a small, collaborative team where you will have the chance to work on all aspects of Data Engineering and build up new skills on the job.Key Responsibilities:• Design, build, and maintain data pipelines in AWS.• Create and maintain core datasets in both traditional databases and data lakes.• Work with a variety of data sources managed by internal and external teams.• Write clean, well-tested Python and SQL for data extraction and transformation.• Improve performance, cost, and reliability of existing pipelines• Implement data quality checks and alerting.• Use Infrastructure as Code (IaC) to deploy processes (we use CloudFormation).• Document datasets and processes so they are easy for others to work with.QualificationsSkills & Experience Required:Technical Skills• Min of 2 years of experience in data engineering or a similar role.• Hands-on experience with core AWS data services (for example S3, Glue, Athena, Lambda, IAM, EMR).• Strong SQL skills (joins, window functions, optimization).• Solid Python for data processing.• Experience building production ETL/ELT pipelines.• Working knowledge of security and IAM (roles, policies, least privilege).• Experience with Infrastructure as Code (IaC) and CI/CD for data (nice to have).• AWS certification (nice to have).Soft Skills• Can break down requirements and ask the right questions.• Communicates clearly with colleagues in a variety of different roles.• Customer focused: our customers are our colleagues from other teams, but that doesn’t make them any less important!• Enjoys problem solving and figuring out how to do new things.• Shares information and knowledge freely. We can all learn from each other.• Pragmatic: knows when to build from scratch vs. reuse.• Ownership mindset - monitors what they build.What we can offer you:

Enhanced maternity, paternity and adoption pay and leave

Company pension

Life assurance scheme (x4 salary)

Medicash Plan (includes cash payments towards dental, medical, therapeutic treatments) with the option to add up to 4 dependants

Refer a friend scheme

Employee assistance programme (access to GP appointments and mental health support)

Competitive annual leave plus bank holidays

Training and career progression opportunities

What Success Looks Like (First 6 Months)• You’ve taken ownership of a set of data pipelines and made them faster, cheaper, or more reliable.• New datasets and processes you deliver are well documented and easy for analysts to query.• Stakeholders trust the data because you’ve added validation and monitoring.About us:Almost everyone wants their career to be meaningful and fulfilling, working in the water industry sector can be just that. Helping water companies throughout the world to manage their complex wastewater sewer networks, prevent flooding, reduce pollution and improve rivers and bathing water. Detectronic Ltd specialise in the design, manufacture and installation of wastewater flow, level and water quality monitoring equipment for smart network monitoring of sewerage, wastewater and trade effluent.Additional InformationAdler and Allan are committed to fostering diversity and inclusion in our workplace. We proudly embrace equal opportunities for all applicants, regardless of race, colour, religion, sex, sexual orientation, gender identity or national origin. If you require any support with your application, whatever the circumstance, please let us know.

Principal / Associate Geospatial Developer

+6

Tetra Tech is looking for a Principal / Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients.Principal / Associate Geospatial Developer (GIS/AI/ML) Manchester or SouthamptonTetra Tech is looking for a Principal / Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients.Why this is a great opportunityfor you:Shape the Future: Lead the design and delivery of next-generation geospatial AI/ML systems that will transform how clients in nuclear, defence, water and beyond manage critical infrastructure.Work with the Best: Collaborate daily with a vibrant, multi-disciplinary team of consultants including geospatial experts, data scientists and engineers, sharing ideas and driving innovation across the globe.Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics.Diverse, High-Impact Projects: From single-discipline proofs-of-concept to large scale multi-sector deployments, youll tackle a broad array of challenges in exciting locations - no two days are the same.Influence & Grow: You will help shape and deliver our geospatial strategy, define best practices, mentor colleagues, lead new initiatives and directly contribute to our global success.If youre passionate about GIS, AI, and Machine Learning, thrive in dynamic teams and want to make a real-world impact with geospatial technology, we want to hear from you.The role will involve contributions across Geospatial & Data Engineering, AI & Innovation, and Collaboration & Leadership:Collaborating with Tetra Techs digital solutions teams across the globe.Leverage and fine-tune foundation models and AI/ML techniques to advance geospatial analytics, automation, and digital transformation within the Geospatial and wider Asset Management Business Unit.Mentor colleagues in best practices and support them in identifying opportunities to apply technology for automation and workflow optimisation.Develop user-friendly tools and analyses, automating data ingestion, transformation, and loading using Python.Build reproducible workflows and apply software engineering best practices, including CI/CD and version control.Design, implement and optimise business Extract, Transform and Load (ETL) pipelines.Collaborate on data modelling, storage and integration to support both geospatial and data science teams.Communicate effectively with technical and non-technical audiences through presentations, workshops, and client engagements.Stay current with geospatial and AI/ML industry trends and technologies.Document code, processes, and findings to support reproducibility, transparency, and knowledge sharing.Contribute to the growth and direction of the team by mentoring, improving processes, and fostering collaboration.About youEssential Skills:A relevant degree in GIS, computer sciences, geography or other relevant subject, with advanced knowledge of GIS software or work experience and qualifications reflecting a similar level of expertise.Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise.Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability.Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries.Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends.Experience with Enterprise Geodatabases, databases and SQL for handling large datasets.Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git).AI literacy, with the ability to communicate concepts clearly and support skill development across the Asset Management team.Suitability for security clearance.Desirable Skills, but not essential:Proficiency in Arcade scripting across ESRI runtime environments.Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOpsKnowledge of geospatial data warehousing and analytics.Familiarity with leading AI/ML platforms and librariesExperience building and scheduling ETL workflows.Knowledge of spatial data management and geospatial queries.Experience with containerised application development (e.g. Docker).Experience in a consultancy environment, with the ability to embed within multidisciplinary teams, engage stakeholders, and deliver workflow optimisationExperience designing mobile friendly React applications and deploying them through enterprise platforms (e.g., Intune).Awareness of Microsoft Fabric and its role in modern data architecture and analytics.Our way of workingWe take pride in delivering projects effectively for clients. This often requires colleagues to be together- in offices or on site to ensure the best outcomes. However, when possible, we also advocate for flexibility around how, when, and where you work.There is no ‘one approach fits all’ each team manages their own way of working, we trust our employees and focus on outputs not inputs.Meeting up with colleague and clients face to face in office environments or on site is important for collaboration, face-to-face meetings, appraisals and development.InclusionAt Tetra Tech, we want everyone to feel like they truly belong. Our goal is to create aworkplace where every person is valued and respected for who they are.Everyone is welcome at Tetra Tech. Opportunities and success should only be determined by attitude, capability and collaborative spirit. Be yourself, without apology.For more information on our company, please visit our website atwww.tetratecheurope.com. To apply, please submit your resume and cover letter on the Careers portion of our website at Tetra Tech Europe Careers - Jobs (selectminds.com)Tetra Tech is an equal opportunities employer and encourages applications from all suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity/shared parental leave, in line with the Equalities Act 2010.

Ai Engineer Placement Programme

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you’re working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you’ll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Senior Data Engineer

Tenth Revolution Group

About the Role We are looking for a Senior Data Engineer to join a leading Microsoft partner that is modernising data platforms and delivering innovative analytics solutions for organisations across the UK. You will work closely with clients to understand their business challenges before designing tailored solutions that improve efficiency, drive self‑service reporting and support long‑term scalability. This is a hands‑on role where you will support clients from a variety of different sectors. You will also be able to supplement this hands-on experience with the opportunity to gain Microsoft focus certifications and accreditations. Responsibilities Build and manage data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Design, implement and maintain data lakes data warehouses and ETL/ELT processes Develop scalable data models for reporting in Power BI Work closely with stakeholders to understand business needs and advise on solutions that best fit the individual needs of the businessSkills and Experience Hands‑on experience Azure services such as Synapse, Data Factory or Databricks Strong SQL skills Proficiency in Python and/or PySpark Experience with Power BI and data modellingWhat is on offer Salary up to £65,000 Fully remote working from anywhere in the UK Performance‑related bonus scheme Pension scheme and private healthcare optionsThis is just a brief overview of the role. For the full details, simply apply with your CV and we’ll be in touch to discuss it further. Tenth Revolution Group are the go‑to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group

CV Technical are proud to be partnered with a leading UK data consultancy who are looking to grow their data engineering capabilities with a Senior Data Engineer on a permanent basis.You’ll have the opportunity to work across a variety of client engagements, create real business impact, and contribute to the growth of a fast-moving, close-knit consultancy.The Role:Manchester based with a hybrid working arrangement.You will work across a diverse portfolio of client assignments, delivering technical solutions that address a wide spectrum of data-related challenges and enabling organisations to make informed, data-driven decisions.In this position, you’ll design and implement advanced data systems and pipelines that meet clients’ needs with scalability and reliability in mind.You will also collaborate closely with both technical and business stakeholders, ensuring you fully understand their objectives and can translate their requirements into effective solutions.Essential Skills & Experience:UK Resident - Position requires Full Security ClearanceBachelors or Masters degree in a STEM subjectProgramming experience in Python, R, SQL, SASExperienced with DevOps processesExperienced working in regulated industriesExperienced on the Microsoft Azure stackExcellent stakeholder and communication skills.4+ years experience in data engineeringExperience mentoring or supporting more junior engineersExperience migrating between platforms.Experience with SAS tools and SAS administration.Agile Development and Deployment experienceAs this role is for a consultancy, travel across the UK to client sites may be required on occasion. Due to the nature of the projects, only candidates who have full working rights (no sponsorship offered) and those who can obtain full security clearance will be considered.Benefits:£40,000 - £60,000 base salary (dependant on experience)Company + Performance bonusExcellent company pension contributionPrivate healthcareLearning & Development budgetInterviews are happening immediately, please apply directly to be considered.*Only candidates living in the UK and within a commutable distance to Manchester and those who can obtain full security clearance are being considered*TPBN1_UKTJ

Contract AI EngineerLocation: Manchester city centre On-site: 3 days per week Rate: £550 per day outside IR35 Contract: Initial 6 months with strong extension potentialOverview We are hiring a contract AI Engineer to build and deploy production-grade AI systems. This is a delivery role. You will take models from idea to live environment and make them work at scale.This is not research or experimentation. The focus is shipping reliable AI into real products.What you will do

Build fine-tune and deploy ML and LLM-based solutions

Work hands-on with Hugging Face models and tooling

Design and implement RAG pipelines using LangChain or similar frameworks

Build agent-based workflows where appropriate

Integrate AI services into existing backend and product platforms

Own model performance latency and cost trade-offs in production

Work closely with engineers and product teams on-site

What we are looking for

Strong commercial experience as an AI Engineer or ML Engineer

Advanced Python skills with production-quality code

Hands-on experience with the Hugging Face ecosystem

Practical experience with LangChain or other LLM orchestration frameworks

Solid understanding of vector databases embeddings and retrieval strategies

Experience deploying models via APIs containers or cloud services

Able and willing to work from the Manchester office 3 days per week

Nice to have

Experience with Azure or AWS ML tooling

Experience with MLOps CI/CD and model monitoring

Experience building AI features into customer-facing products

Why this role

£550 per day outside IR35

Real production AI work not demos

Strong technical ownership

Clear extension potential

D2C Data & Business Intelligence Manager

AJ Bell Business Solutions Limited

+2

We’re now recruiting a D2C Data & Business Intelligence Manager to join our D2C Insights team; the team that drives customer-focused, data-led decision making across our direct-to-consumer strategy, product, PR & content, and business development teams. The team are responsible for insights across customer research, customer feedback, market intelligence, competitor analysis, and data-driven insights.The D2C Data and BI Manager leads a small but dynamic and experienced group of BI developers and engineers who work across customer, financial and commercial data held in our Enterprise Data Warehouse Snowflake alongside our CRM and Customer Data Platform Bloomreach.Were passionate about delivering an increasingly personalised and segmented approach to every customer touchpoint to empower our customers to reach their financial goals.This role is a hands-on leader for the team, who can ensure we continue to have strong technical processes and governance whilst working with technical and non-technical colleagues to gather requirements, develop and deliver elegant and robust solutions, and embed insights.What does the job involve?

Leadership of a growing and high performing team of data engineers and BI developers coaching individuals and the team to deliver their best for the business.

Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require

Working closely with our stakeholders in D2C (particularly Marketing and Product) to understand their plans and strategies to develop an operating model and plans that deliver robust data products and dashboards when required.

Continually assess our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation

Ensuring change is delivered in line with agreed plans and QA’ing before delivery to the business.

Supporting the team to develop engaging and accurate dashboards and reports.Youll take the lead on rolling these out to the business, ensuring colleagues understand how to navigate and interpret the data including leading on our approach to self-service and data literacy across the division.

Working closely with our central data and technology colleagues to collaborate on projects, share best practice and agree on common ways of working across the AJ Bell data community

Proactively identify risks or opportunities highlighted through data and reporting, taking the lead on surfacing these to senior management along with context and what practical options we have to address them.

Ensuringcompliance with regulatory requirements and industry standards related to data privacy, security, and confidentiality.

Supporting and enabling the business to achieve its regulatory requirements, including consumer duty.

About you:We’re looking for someone with a broad range of competence, knowledge and skills which would help you succeed in this role, but it is not critical to meet every single criteria listed below. We encourage a wide range of applicants.

Proven experience in leading data and reporting teams in financial services or highly regulated industries

Demonstrable experience of delivering improved outcomes from data and BI particularly governance, efficiency and scalability

Previous responsibility for business-critical data assets and platforms

Experience of working with diverse data sources across customer, transactional and external data and different cadences including real time. Experience of working with third party data enhancement and marketing data sources such as Google Analytics is highly desirable

Outstanding stakeholder engagement and management skills

Excellent long-term planning and short-term prioritisation skills, including effective communication and ensuring delivery of priorities

Experience in analysis and development within a BI environment

Agile/scrum experience would be a benefit

Good levels of data and market awareness

Highly effective communication skills and comfortable working with both technical and non-technical teams

Excellent analytical and problem-solving skills, with the ability to interpret complex datasets and generate actionable insights.

In-depth knowledge of cloud-based data architecture, database development and management. Previous experience with Snowflake in particular is desirable

Strong understanding of data and systems integration and data pipelines including development approaches.

Broad knowledge of business intelligence principles, approaches and tools/platforms. Power BI is preferred

Understanding of marketing and communication technologies, particularly CRM platforms and orchestration tools. Experience with Bloomreach is desirable.

Best practice for systems and data governance including development processes and documentation

Reporting architecture and approaches including self-service enablement

Understanding of marketing and product performance metrics and approaches.Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, AppsFlyer, Optimizely is highly desirable

Proven understanding of GDPR and data governance, preferably in financial services

Knowledge of AJ Bell and our product offerings, and interest in the investment platform marketwould be a plus

Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable

Experience of developing data pipeline and automations, for example via Python

Data integration using APIs

Ownership of systems critical data and string experience of maintenance, development and improvement.

Dashboard design, development and delivery.Experience with Power BI including semantic model development and with DAX is preferred.

Self-serve approaches and improvements to data literacy and adoption.

Documentation and workflow management using tools such as JIRA and Confluence

About UsAJ Bell is one of the fastest-growing investment platform businesses in the UK offering an award-winning range of solutions that caters for everyone, from professional financial advisers to DIY investors with little to no experience. We have over 644,000 customers using our award-winning platform propositions to manage assets totalling more than £103.3 billion. Our customers trust us with their investments, and by continuously striving to make investing easier, we aim to help even more people take control of their financial futures.Having listed on the Main Market of the London Stock Exchange in December 2018, AJ Bell is now a FTSE 250 company.Headquartered in Manchester with offices in central London and Bristol, we now have over 1,500 employees and have been named one of the UK’s 'Best 100 Companies to Work For forsix consecutive yearsand in 2024 named a Great Place to Work.At AJ Bell you can expect a friendly working environment with a strong sense of teamwork, we have a great sense of pride in what we do, and this is reflected in our guiding principles.What we offer:

Competitive starting salary

Starting holiday entitlement of 27 days, increasing up to 31 days with length of service and a holiday buy and sell scheme

A choice of pension schemes with matched contributions up to 8%

Discretionary bonus scheme

Annual free share awards scheme

Buy As You Earn (BAYE) Scheme

Health Cash Plan provided by Simply Health

Discounted private healthcare scheme and dental plan

Free gym

Employee Assistance Programme

Bike loan scheme

Sick pay+ pledge

Enhanced maternity, paternity, and shared parental leave

Loans for travel season tickets

Death in service scheme

Paid time off for volunteer work

Charitable giving opportunities through salary sacrifice

Calendar of social events, including monthly payday drinks, annual Christmas party, summer party and much more

Personal development programmes built around you and your career goals, including access to personal skills workshops

Monthly leadership breakfasts and lunches

Casual dress code

Access to a range of benefits from our sponsorship deals

Hybrid working:At AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That’s why we offer a hybrid working model, where youll spend a minimum of 50% of your working time per month in the office. For new team members, an initial period will be full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues.AJ Bell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and all employees are empowered to bring their whole self to work.We do not discriminate on the basis of race, sex, gender identity, sexual orientation, age, pregnancy, religion, physical and mental disability, marital status and any other characteristics protected by the Equality Act 2010. All decisions to hire are based on qualifications, merit and business need.If you like the sound of the above, or just want to know more about the company and the role, we’d love to speak to you.

Machine Learning Engineer

Machine Learning Engineer/Senior Machine Learning Engineer Location: Manchester - Hybrid working two days per week on site Salary: negotiable based on experience Ref: J13039This is an exciting opportunity to join a major organisation that is undergoing a large scale transformation within its Pricing and Analytics function. Significant investment is being made in technology, tooling and people development, creating a genuine chance to influence how modern data and analytics products are built and deployed.The team is expanding and looking for a Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business.The environment is collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement.Role: Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code deliveryExperience: Strong experience building data or software products using Python and Git A mindset of continual improvement and a passion for reliable, scalable engineering The ability to collaborate effectively with both technical and non-technical colleagues Experience delivering in a fast moving commercial environment Exposure to regulated industries or personal lines insurance is beneficial but not essentialApplicants must be eligible and authorised to work in the United Kingdom.If you are driven by building high quality ML tooling, enjoy solving complex engineering challenges and want to contribute to a major transformation, we would be keen to hear from you.Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk

Data Engineer - (DV Eligible - SC Cleared)

Sanderson Government and Defence

+1

The Role Based in Manchester, you will work as a Data Engineer responsible for designing, building, and maintaining robust data pipelines and data architectures. You will work closely with stakeholders to understand complex data challenges, transform raw data into meaningful insights, and support analytics and reporting. This includes working with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets efficiently. This is a hybrid role, with time split between the Manchester office and working from home. Key Responsibilities Develop and maintain data ingestion pipelines and orchestration workflows Design database schemas and data models Integrate and enrich data from multiple sources, ensuring consistency and quality Design and implement ETL/ELT processes (for example using Apache NiFi) Produce reusable, maintainable code with a test-driven approach Maintain and enhance existing data platforms and services Investigate and resolve operational issues in integrated datasets Implement data security measures to protect sensitive information Support Agile delivery, breaking down user requirements into actionable tasks Monitor and optimise system performance for reliability and efficiency Required Skills Apache Kafka Apache NiFi SQL and NoSQL databases (for example MongoDB) ETL/ELT development with Groovy, Python, or Java About the Employer With over 60 years of experience supporting government and defence programmes, this employer delivers deep technical expertise in sensors, communications, cyber, and advanced analytics. Operating from the Manchester technology hub, the organisation applies innovation, technology, and data to help clients make informed decisions and protect critical systems and infrastructure. Clearances and Eligibility Due to the nature of this role, you must already hold SC clearance and be eligible to achieve the highest level of security clearance. Therefore, this position is only open to British nationals who do not hold dual nationality. Benefits and Culture Work at the cutting edge of technology in defence and national security Opportunity to spend time on innovative R&D projects and concept creation Collaborative and creative environment that values technical excellence Competitive bonus scheme up to £3,000 / 6% of salary Generous holiday allowance: 30 days plus bank holidays, with 3.5 additional days over Christmas and the option to buy or sell extra leave Supportive and engaging culture focused on growth and innovation Hybrid working in Manchester: typically 3 days in the office and 2 days from home, with flexibility to work fully on-site if required Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Principal Data Engineer

Role: Principal Data EngineerSalary: £85,000 - £95,000 per annumLocation: Manchester (Remote/Once a month)VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a principal data engineer to lead the design of their platform within the Google Cloud Platform (GCP). The role will involve an even split of technical engineering, architecture and leadership/people management.Requirements for the Principal Data Engineer:

Experience as a lead or principal data engineer.

Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream.

Deep understanding of Data Mesh/decentralised design and Data Lake/Warehouse solutions.

Previously led teams of data engineers.

Hands on skills across the GCP tech stack, SQL and Python.

Ability to lead cultural change across organisations, and manage senior stakeholders.

Ability to work across multiple contexts and teams.

Job Duties of the Principal Data Engineer:

Lead the architecture, best practise and engineering strategy of data squads.

Hands on data engineering work, utilising both python and SQL.

Mentor and lead teams of engineers, checking and reviewing code, and setting standards.

Ensure all data platform processes; including ingestion, quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient.

Design and help build the data platform - ensuring data is processed through semantic layers and can be modelled effectively.

Suggest improvements for automation and cost savings.

Lead changes across the organisation, adopting a decentralised design.

Role: Principal Data EngineerSalary: £85,000 - £95,000 per annumLocation: Manchester (Remote/Hybrid)Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (see below)Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply).

Principal Data Engineer

Role: Principal Data EngineerSalary: £85,000 - £95,000 per annumLocation: Manchester (Remote/ Once a month)VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a principal data engineer to lead the design of their platform within the Google Cloud Platform (GCP). The role will involve an even split of technical engineering, architecture and leadership/people management.Requirements for the Principal Data Engineer:

Experience as a lead or principal data engineer.

Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream.

Deep understanding of Data Mesh/ decentralised design and Data Lake/Warehouse solutions.

Previously led teams of data engineers.

Hands on skills across the GCP tech stack, SQL and Python.

Ability to lead cultural change across organisations, and manage senior stakeholders.

Ability to work across multiple contexts and teams.

Job Duties of the Principal Data Engineer:

Lead the architecture, best practise and engineering strategy of data squads.

Hands on data engineering work, utilising both python and SQL.

Mentor and lead teams of engineers, checking and reviewing code, and setting standards.

Ensure all data platform processes; including ingestion, quality, transformation, security, batch management, monitoring, alerting, and cost control are efficient.

Design and help build the data platform ensuring data is processed through semantic layers and can be modelled effectively.

Suggest improvements for automation and cost savings.

Lead changes across the organisation, adopting a decentralised design.

Role: Principal Data EngineerSalary: £85,000 - £95,000 per annumLocation: Manchester (Remote/Hybrid)Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed)Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment

Machine Learning Engineer

Machine Learning Engineer/Senior Machine Learning Engineer Location: Manchester - Hybrid working two days per week on site Salary: negotiable based on experience Ref: J13039 This is an exciting opportunity to join a major organisation that is undergoing a large scale transformation within its Pricing and Analytics function. Significant investment is being made in technology, tooling and people development, creating a genuine chance to influence how modern data and analytics products are built and deployed. The team is expanding and looking for a Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment is collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role: Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code delivery Experience: Strong experience building data or software products using Python and Git A mindset of continual improvement and a passion for reliable, scalable engineering The ability to collaborate effectively with both technical and non-technical colleagues Experience delivering in a fast moving commercial environment Exposure to regulated industries or personal lines insurance is beneficial but not essential Applicants must be eligible and authorised to work in the United Kingdom. If you are driven by building high quality ML tooling, enjoy solving complex engineering challenges and want to contribute to a major transformation, we would be keen to hear from you. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk TPBN1_UKTJ

Machine Learning Engineer

Machine Learning Engineer/Senior Machine Learning Engineer Location: Manchester - Hybrid working two days per week on site Salary: negotiable based on experience Ref: J13039 This is an exciting opportunity to join a major organisation that is undergoing a large scale transformation within its Pricing and Analytics function. Significant investment is being made in technology, tooling and people development, creating a genuine chance to influence how modern data and analytics products are built and deployed. The team is expanding and looking for a Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment is collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role: ·Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle ·Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models ·Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices ·Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code delivery Experience: ·Strong experience building data or software products using Python and Git ·A mindset of continual improvement and a passion for reliable, scalable engineering ·The ability to collaborate effectively with both technical and non-technical colleagues ·Experience delivering in a fast moving commercial environment ·Exposure to regulated industries or personal lines insurance is beneficial but not essential Applicants must be eligible and authorised to work in the United Kingdom. If you are driven by building high quality ML tooling, enjoy solving complex engineering challenges and want to contribute to a major transformation, we would be keen to hear from you. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

Consumer Lending Data Scientist

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you

Spotlight

Technology Consulting Academy

About the jobWho are Answer Digital?Answer Digital are a proudly Employee-Owned digital transformation consultancy headquartered in Leeds. We’ve delivered large-scale, cutting edge and life saving digital solutions in both the private and healthcare sectors. After a period of huge growth, we’re looking to invest in our people with our first hybrid Technology Consulting Academy.We’re passionate about investing in our people, so much so that “Nurturation” is one of our core values (our way of nurturing growth through collaboration!).Our AcademyWe’re looking for motivated and ambitious people to join our Technology Consulting Academy. You’ll be employed with us from Day 1 and the programme has been designed by our talented consultants to accelerate the professional development of great people. The Academy will cover all our technical capabilities to a high level, specialising more as the academy progresses.By the time the Academy is complete, you’ll have all the skills and knowledge to play a pivotal role on one of our projects, helping build solutions for our clients across Software and DevOps Engineering, Data Engineering and Quality Assurance.Academy Structure: What to expectWith a blend of workshops, mentored coaching sessions and self guided learning, the Academy will cover:

The fundamentals of the Software Development Lifecycle

Proficient application of Agile methodologies within a professional environment (e.g. Scrum, Kanban, Lean).

Training in core technologies used across our technical capabilities including

Programming Languages (.Net, Javascript, Python)

Database and Data technology (SQL, Pyspark, ETL, Snowflake, Data Architecture, warehouses and lakehouses)

DevOps and Cloud Technologies (Azure and AWS, CI/CD, Terraform and Docker)

Test Frameworks (Cypress, Accessibility and Performance testing)

Include upskilling in emerging AI technologies and their application in software, date and quality assurance engineering.

Strategies for fostering personal development and navigating career progression.

You will also be integrated into the broader Answer Digital community, engaging with professionals across various disciplines and industry sectors, with plenty of opportunity to learn. As the Academy approaches its conclusion, you will complete a series of analytical tasks and presentations for your Academy Coach. The Academy culminates in a 2-3 week assignment undertaken alongside an experienced consultant on a live project, followed by a formal presentation of their work to the wider Answer Digital community.After completing the Academy, you will join one of our technical capabilities supporting our clients to deliver great outcomes.What you’ll bring to AnswerFor us, this isn’t about the jobs you’ve had but the experience you’ve gained along the way though in order to succeed you’ll need;

Either hands on experience or a qualification in a Technology field (such a tech bootcamp, a computer science degree, a tech apprenticeship etc.) or a Data field (a role involving processing/manipulating large data sets or a mathematics degree etc.)

Demonstrated interest and experience within the Information Technology sector.

Someone who constantly challenges assumptions, solves problems and focuses on the details to get things right.

A great communicator, being able to articulate problems to our clients and how we can solve them.

This could come from working in tech already, a career changer with lots of transferable skills or someone from academia, who’s had plenty of experience with the above - either way, we’d love to hear from you!It would be great if you also had experience in some of these, but if not we’ll help you with them:

Experience working in multidisciplinary teams to build something great.

Practical, hands-on experience working on Agile projects with .Net, Javascript, Python, SQL etc…

About youThis isn’t just about your experience, we’re investing in you as a person and you’ll be set up for success if you have:

A genuine commitment to developing a career in technology and digital transformation

A passion for continuous learning and professional development.

Great communication skills, encompassing the ability to interact confidently with diverse individuals and groups at all organisational levels, and to adapt how you communicate to suit your audience.

A strong focus on achieving positive outcomes for both end-users and clients.

A collaborative and team-oriented approach to work.

Commercial experience or the understanding of commercial impacts to project work

Effective time management skills and the ability to prioritise

The perks of being at Answer

We’re an Employee-Owned Company. After 12 months – through the Employee Ownership Trust you will be part of the ownership of Answer; a major factor in driving engagement, retention and growth for our people.

Competitive salary, starting at £27,500 and increasing to £30,000 after the Academy.

Flexible annual leave (buy/sell and carry forward).

Twice a year income-tax free bonus if company-wide performance targets are met - we’re all in this together

Continuous training and development - if you want to learn, we’ll provide all the support you need.

Flexible Pension - we match your own contributions up to 5%

A flexible Healthcare cash plan so you can fund the care you value most.

A packed social calendar including; end of year party and Summer away days, monthly and quarterly company team socials.

Free parking at Head Offices in central Leeds, plus Cycle2Work & Green Car Lease schemes to help get you here.

The chance to give back – get involved nationally and regionally with partnerships to get people from different backgrounds into tech, as well as lots of charity and community events.

Hybrid and flexible working – you can vary your working when and where you work, to allow you to collaborate better, feed your creativity, and take the time and space to focus when you need to.

Diversity and InclusionAt Answer we proudly embrace diversity and inclusion - we want to create a safe environment for everyone to bring their true selves to work.We will do everything we can to support your application. If you require any adjustments to be made to your application (whether that’s support with our interview questions, adjusting how we interview, or financial support with our hiring process) then please speak to Jonny Hiles, TA Lead (jonny.hiles@answerdigital.com)Our Interview Process

We pride ourselves on having a fair but flexible recruitment process, we want to create a platform where you can show us your best. For us, keeping it simple means you can focus on understanding if our people, values and the work we do are right for you. Our typical process can be broken down into 3 stages;

Application Process: Depending on the volume of applications, our process may involve a couple of assessments. We focus on your inherent ability rather than your CV. That’s why the application includes an analytical thinking and problem solving exercise. We want to assess your capacity for analytic thinking and problem-solving—skills that are crucial for a successful career with us.

Recruiter call: This will be with a member of the recruitment team, and normally lasts 15-30 minutes. We will talk to you about Answer Digital, the type of work we do, and an overview of the role. We’ll ask you some questions about your current situation and why you’re interested in working here. Here, we’d advise asking any questions about our people, such as our culture, career progression, or approach to flexible working.

Skills based interview: This interview will be with 2 people, normally from the team you’re applying to work with and roughly lasts an hour. This interview will involve questions around your experience, the skills you’ve gained and the work you’ve done. We’ll also ask questions about the role and challenges you might face and how you’d face them. Here, we’d recommend asking questions about the role, the day to day responsibilities and what life in the team is like.

Cultural/Value interview: The final interview stage is an hour-long discussion with two members of our Leadership team (either Directors or Capability Leads). This interview is a two-way conversation, as much about you assessing if Answer is the right fit for you as it is about us assessing your fit with Answer. The focus will be on our culture and values. We’ll discuss what our values mean to us, and we want to understand what values are important to you and how you like to work. We strongly encourage you to ask any questions you have about Answer as a business, including our business model and our ambitious growth plans.

Data Engineer Jobs in Manchester

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