Data Warehouse Developer – Cheshire – Up to £60,000 + Benefits – REF 059 £50,000 – £60,000 + Bonus + Benefits
Cheshire
Mon–Fri
Full-time | Hybrid Working We’re working with a growing international business that’s investing heavily in its data capability as part of a wider digital transformation programme. With operations across multiple regions and a complex systems landscape, they’re now looking to bring in a Data Warehouse Developer to help shape and strengthen their central data platform. This is a great opportunity for someone who enjoys building things properly, not just maintaining legacy systems and wants to play a key role in creating a reliable, scalable data environment that supports decision-making across the business. The Role You’ll be responsible for designing and developing the company’s data warehouse, bringing together data from multiple systems into a structured and accessible format. Working closely with stakeholders across the business, you’ll help turn data into something meaningful and usable. Day to day, you’ll be: * Building and improving data pipelines to bring together information from different sources * Structuring and modelling data so it’s easy to use for reporting and analysis * Working alongside BI teams to ensure data is accurate, consistent, and reliable * Monitoring performance and making improvements where needed * Troubleshooting issues and supporting users when things don’t quite go to plan * Contributing ideas on how to improve the overall data environment and processes Experience needed: * Experience working in a data warehouse or similar data-focused role * Strong SQL skills and confidence working with large datasets * Experience building and maintaining ETL/ELT pipelines * Exposure to modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery or similar) * Understanding of data quality, governance, and best practices * A problem-solving mindset with good attention to detail * Someone comfortable working with both technical teams and business users This role would suit someone who enjoys hands-on development, wants to make a visible impact, and is keen to be part of a business where data is becoming central to how decisions are made. To apply for this role, please call and/or send your CV to David Hopkin

Strategic Market Data Lead This is a strategic, hands on, standalone role that blends market data vendor management, technical capability, and business engagement. I need someone with Financial Service experience ideally Wealth Manager, below are the key components of the role Market Data Vendor Oversight Identify and catalogue current market data feeds managed by business teams
Engage business stakeholders to understand data needs.
Assess overlapping vendor feeds
Drive cost savings, synergies, and vendor consolidation where possible.
Support decommissioning or renegotiation of feeds.Procurement & Contractual Understanding Work closely with procurement teams.
Understand contract obligations and typical market data vendor operating models. Technical & Data CapabilityThe role sits in the data department, so the candidate must be technically capable: Understand data architecture and how feeds land in Snowflake.
Ability to run SQL queries, investigate data, and compare feeds.
Familiarity with concepts like EDP, data lakes, ingestion of PDFs, etc.
Should be able to use AI/tools to automate comparisons.
Not reliant on data engineers/analysts for basic tasks

Insight & Reporting Director Location:UK-based role requiring 2 days per week in our Maidenhead office Contract: Permanent, Full Time Salary: £75,000 - £95,000 Per Annum + Bonus About The Role As the Insight & Reporting Director, you will be accountable for modernising how are insights are produced and consumed externally by clients and internally, be a champion of AI-augmented analytics, and improve the analytical functionality of the entire organisation. You will define and own the organisation’s Insight & Reporting strategy, be the lead presence for that externally, and align it to broader business objectives and data strategy You will be regularly required to present to clients and internal stakeholders at Executive team and throughout the organisation, and will have ownership over the reporting and analytics function across the business, ensuring that data and AI are genuinely embedded into how decisions are made, working with a range of stakeholders. You will be committed to ensuring all modern technologies are exploited, and are aware of developing technologies in this space, driving curiosity and ongoing learning across your teams. You will be joining us at a critical point in our journey, to ensure that insights and reporting is a strategic capability, with a modern analytics stack, used to innovate and embed emerging technologies within our industry. Key Responsibilities * Create and execute the organisation’s Insight & Reporting strategy, leading a team of c. 30 * Build and champion a modern, AI-enabled analytics capability. * Act as the senior advocate for data-driven decision-making. * Drive the adoption of self-service analytics. * Lead the evaluation and adoption of AI and machine learning capabilities. * Establish responsible AI governance frameworks. * Champion the adoption of modern data platforms e.g. Microsoft Fabric, Azure, Snowflake. * Drive the shift to dynamic, real-time analytics experiences. * Oversee the design & development of dashboards, reports, and analytical products. * Drive data storytelling standards and design principles across the team. * Ensure compliance with data regulations across insight and reporting activity. * Champion ethical data use - particularly where AI and automated decision-making are involved. * Build and maintain strong relationships with both senior internal stakeholders and with clients. * Communicate complex analytical findings clearly to non-technical audiences. What We’re Looking For * Proven experience in leading a BI, analytics, or insight function at a senior or director level, within a FMCG or strong retail background. * In-depth understanding of modern analytics - Power BI, Microsoft Fabric, Azure, Snowflake, and AI tooling. * Experience of driving AI or machine learning adoption within a large organisation. * Strong commercial acumen, with the ability to connect insights to measurable business outcomes. * Excellent leadership and people development skills, with experience managing multi-disciplinary teams. * Exceptional communication skills - able to translate between technical and business audiences at all levels. * Experience establishing or maturing BI governance frameworks at scale. * Demonstrated ability to influence and challenge at senior stakeholder and C-suite level. * Hands-on background in Power BI, SQL, or data modelling is preferred. * Ideally has experience with Microsoft Copilot Studio, Azure OpenAI, or similar generative AI tooling. * Exposure to change management relating to data transformation programmes would be ideal. What’s In It For You? Competitive annual salary
Annual pay reviews
Car allowance: £575 per month (£6900 per annum)
Bonus: up to 10%
Private healthcare: Bupa
25 days holiday + flexible public holidays (with options to buy more)
Smart working policy
Family-friendly policies (enhanced maternity/paternity leave)
Company pension (5% employer contribution)
Life assurance (3x salary)
Employee perks site (discounts, gym memberships, leisure activities)
24/7 Employee Assistance Programme for physical, mental & financial wellbeing

Company description

Job Title: Data Analyst – Pricing & Insights
Location: Cheadle – Hybrid – Three Days in Office Employment Type: Permanent
Hours: Monday-Friday

AA Summary

Think the AA is just about roadside assistance? Think again!

As one of the UK’s most trusted brands, we provide a wide range of services to millions of customers. From comprehensive Home and Motor Insurance to personalised Financial Services like Loans and Savings, and outstanding B2B, Consumer, Business Services, Driver Training, Car Care, and Service Maintenance and Repair, we’ve got you covered. Our mission is to keep Britain moving, and we’re looking for dedicated individuals to join our team. Ready to join us?

#LI-EJ1 #LI-Hybrid

This is the job

As a Data Analyst – Pricing & Insights, you’ll have every opportunity to grow and develop your expertise. You’ll work on a diverse range of projects, from data engineering and visualisation to impact assessments and performance monitoring, giving you hands-on experience across the full analytical lifecycle.

Alongside building your technical skills, you’ll play a key role in the business by working closely with stakeholders across a customer-focused organisation. You’ll bring data to life by identifying trends, sharing insights, and delivering clear, meaningful analysis through management reports and MI, helping to shape informed decisions at every level.

What will I be doing?

• Designing, building and delivering regular reporting to support understanding of customer behaviour and outcomes
• Communicating insights clearly through both verbal updates and written reports to enable strong decision-making
• Investigating performance, model evaluation and emerging trends within a fast-paced environment
• Identifying opportunities to enhance model performance through new data sources and analytical techniques
• Developing knowledge of predictive, forecasting and categorisation models using machine learning and cloud technologies
• Supporting pricing projects by applying best-practice analytical and modelling approaches
• Building robust and accurate datasets to ensure high-quality analysis and reliable outputs
• Collaborating with Financial Analysts to support lifetime value modelling and wider business insights
• Supporting testing and deployment of new rating structures alongside change teams
• Producing impact analysis and comprehensive test data to ensure successful implementation

What do I need?

• Proven experience in SQL, alongside at least one other programming language such as Python, PySpark, R or similar
• Experience working within cloud-based platforms such as Databricks or Snowflake
• Strong communication skills, with the ability to present complex concepts, trends and performance metrics clearly
• Ability to work under pressure, using sound judgement to deliver accurate outputs within tight timescales
• Excellent problem-solving skills, with experience applying analytical techniques to address business challenges
• Ability to organise, interpret and enhance data to generate meaningful insights
• Experience using data visualisation tools such as Power BI or Tableau
• Understanding of statistical or predictive modelling techniques, with practical application desirable
• Degree-level education (or higher) in a numerical or analytical subject
• Demonstrated analytical experience, with ongoing application of these skills in a professional environment

Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Company funded life assurance
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.
As part of the onboarding process, we complete several pre-employment checks including work reference, credit and criminal record checks.

We may close the vacancy sooner than the advertised date if we get a high volume of applications, please apply now if you are interested.

About the Role

We have a new opportunity for a proactive and technical Senior BI Engineer to join our highly skilled Data team.

As a leading UK life and pensions mutual insurer with a proud history dating back to 1843, we exist to help people live financially confident lives – protecting their income while they work and maximising it when they stop. Today, over one million members and customers trust us to look after their futures, families and finances.

Joining us means becoming part of a team that puts our members, customers and advisers at the heart of everything we do.
We’re committed to creating an inclusive culture where colleagues can thrive. We are proud to have built a workplace where our colleagues feel welcomed, respected, supported and valued – reflected in our recognition as one of the Financial Times UK’s Best Employers in 2025 and 2026.
We celebrate individuality and believe our differences make us stronger, so bring your true self and help shape the future of LV=.

You will lead stakeholder engagement and deliver cloud-based BI solutions by transforming raw data into actionable insights to enable more effective strategic and operational decision-making.

This role is offered on a permanent basis with a requirement for regular presence in our Bournemouth office.

Key Responsibilities

•Lead the BI workstream for change portfolios, providing technical expertise and design guidance to ensure solutions align with the data strategy and comply with design standards.

•Utilise cloud technologies and programming languages to develop and maintain centralised data platforms that support the business’s operational and strategic needs.

•Ensure all BI processes and reports are accurately and appropriately documented and that all data governance and quality processes are followed and continuously improved.

•Collaborate with stakeholders to translate data requirements into actionable requests or build solutions.

•Plan and coordinate the prioritisation of data requests to meet business needs in the most appropriate and controlled manner.

•Manage and review the work of developers, mentoring and sharing best practices.

•Contribute to the development and improvement of technical data standards and ensure the development of data products are compliant.

About You

•Extensive experience in BI development and business intelligence and proficient in SQL, Python, DAX, Power Query (M Language)

•Demonstrated understanding of data warehousing, data modeling (Star Schema, Snowflake), and ETL/ELT processes

•Strong business-facing skills with expertise in business modeling and translating processes into data models, combined with advanced performance tuning for large datasets

•Demonstrated ability to apply tools and processes for data security, quality, and accuracy, while implementing best-practice data management, governance, and quality standards

•Proven experience of taking a development lead on work streams within a data centric or technical project

•Exceptional communication skills with the ability to manage stakeholders and translate technical data to a non-technical audience

•Ability to work in an agile, fast-paced environment whilst prioritising tasks to stay responsive to business needs

•Experience of proactively building and maintaining relationships both externally and internally

•Collaborate with end users to review testing outcomes, provide recommendations, and address data quality feedback

Desirable

•Previous experience of working in the insurance/financial services sector

Rewards & Benefits

This role is a Band C in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:

•30 days’ holiday.

•The opportunity to buy or sell up to five days of holiday.

•An annual bonus scheme based on company and personal performance.

•Single-cover private medical insurance (with the option for you to upgrade to family cover).

•Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance.

•Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements).

•Group Life Assurance of four times your basic pay to your dependents (you’ll have the option to increase this to 8 x cover).

•Group Income Protection, if you enrol into the pension scheme and reach 5 years of service.

•Employee Assistance Programme (EAP) service for support when you need it.

•Virtual GP service.

•Shared parental leave.

•Up to 20% discount on our life products for you and your immediate family.

Please note all salary sacrifice benefits are subject to National Minimum Wage requirements i.e. you are unable to select any benefits that would reduce your base pay below the minimum wage threshold.

Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.

We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.

Senior Site Reliability Engineer (SRE) - Data & AI Platforms

Location: Glasgow, Scotland (Hybrid - 3 days onsite, non-negotiable)

Duration: 6 months with extensions likely

Day rate: PAYE circa £430

We are seeking an experienced Senior Site Reliability Engineer to support a strategic, data- and AI-driven platform delivering operational intelligence at scale. This role sits at the intersection of software engineering, platform operations, and data infrastructure, with a strong focus on reliability, automation, and continuous improvement.

Key Responsibilities:

Own reliability, availability, and performance across DEV, QA, and PROD environments

Apply SRE principles (SLIs/SLOs) to improve resilience and reduce operational toil

Build automation tooling (primarily Python) to streamline workflows

Develop and maintain CI/CD pipelines for data and platform services

Lead incident response, root cause analysis, and preventative improvements

Implement monitoring, alerting, and observability across systems

Support cloud data platforms (including Snowflake) for scalability and cost efficiency

Enable reliable deployment of AI-driven services and data pipelines

Collaborate with engineering, data, and product teams in Agile environments

Required Skills & Experience:

Extensive experience in SRE, platform engineering, or similar roles

Strong Python scripting and automation experience

Proven experience managing production systems at scale

CI/CD and modern software delivery practices

Cloud data platforms and relational databases knowledge

Strong troubleshooting and communication skills

Desirable:

Experience with AI/LLM platforms, BI tools, and semantic data models

Background in large-scale or regulated environments

Please apply today to be considered

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

TPBN1_UKTJ

Salary £80,000 (plus car allowance of £5,900) Location Hybrid - Milton Keynes or Boston Permanent, Full Time Data,transformationand governance - this role has it all! As Head of Enterprise Data Delivery atAmplius,youllshape how data is built,managedand delivered across the organisation.Youllset clear direction and standards, making sure data is consistent,reliableand easy to use. By bringing structure to complex, fragmented data,youllhelp improve reporting and support better, more confident decision-making. Salary: £80,000 (plus car allowance of £5,900) per year Contract: Permanent, full time Your week: 36.25 hours Monday Friday 9am 5.15pm Location: Hybrid with a weekly presence in our Milton Keynes or Boston office Snapshot of your role Take full end-to-end ownership of the enterprise data estate, including Data Platform, Data Products, and Data Governance, ensuring reliable delivery from source systems through to reporting and insight. Lead the modernisation of legacy data assets into a scalable cloud-based platform, defining the approach and ensuring successful migration, adoption, and long-term stability. Shape, structure, andmaintainclear delivery plans with defined priorities, dependencies, ownership, and measurable outcomes that keep teams aligned and focused. Drive pace, momentum, and accountability across data teams, activelyidentifyingrisks, resolving blockers, and intervening where delivery is off track. Oversee the design and delivery of certified, reusable data products that support BI, KPI reporting, analytics, and operational decision-making. Embed modern data engineering practices including CI/CD, automated testing, monitoring, environment separation, and operational readiness across all delivery workstreams. Ensure governance is embedded into day-to-day delivery, including data definitions, ownership, lineage, quality standards, and access controls. Act as a senior technical partner to engineering, architecture, BI, and transformation teams, challenging design decisions and ensuring scalable, production-ready solutions. Provide clear visibility to senior stakeholders on progress, risks, dependencies, and delivery timelines across all data initiatives. Whatwerelooking for Proven experience leading data platform, data engineering, or enterprise data delivery teams Strong background delivering cloud data platforms (e.g. Azure, Databricks, Snowflake or similar) Hands-on experience with data pipelines, transformation, and data modelling at scale Experience modernising legacy data estates into cloud-based platforms Strong technical credibility with the ability to engage engineers, architects, and technical teams Understanding of how data products, semantic layers, and reporting structures are designed and delivered Experience embedding data governance, quality, and MDM into delivery practices Ability tooperatein complex, fast-paced, ambiguous environments with competing priorities Strong leadership skills with a focus on accountability, delivery, and outcomes Clear communicator able to translate technical detail into business impact Practical, delivery-focused mindset with a bias for action and problem-solving Please read the attached Job Description before applying so you get the full scope of the role. You can read about our colleague benefits here - Ampliuscolleague benefits This vacancy will close on 6 May. Following this, we will be in touch to arrange interviews. We reserve the right to close the vacancy early in response to an overwhelming number of applications or a change in business priorities. We do not provide visa sponsorship; you must be eligible to work in the UK. You mustresidein the UK for the duration of your employment and provide Right to Work evidence. If you have any questions, please contact the AmpliusTalent Team andwellbe happy toassistyou. The Company Ampliusis one of the largest housing providers across the Midlands, East and Southeast of England. We own and manage more than 37,000 homes and deliver a range of quality services, including care and support, specialisthousingand home ownership options.Werea team of over 1,300 colleagues driven to have a positive impact on peoples lives and provide affordable homes that make a difference.

SENIOR DATA ENGINEER - HEALTHCARE - SNOWFLAKE, SQL, AZURE, ADF, PYTHON, FABRIC, AZURE STACK AWS

Progressive, forward thinking, innovative international private healthcare organisation urgently require a talented Data Engineer to help then shape the future state of the organisation

You will:

• Help create and develop data as they move forward into their new Snowflake environment to ensure they deliver critical data in an accurate and timely information to the rest of the organisation.
• Develop and implement data pipelines that extract, transform and load data using into our Snowflake environment for use with reporting tools such as Power BI and SSRS.

You are:

• An Experienced Senior Data Engineer (Snowflake)
• With in depth experience of: Snowflake, SQL, (Stored Procedures)
• Azure, ADF, Python
• Fabric, Azure Stack, AWS
• Aptitude to Solve Complex Problems

In return you will get the opportunity to have huge impact in developing, shaping and leading the future state & ways of working of an innovative forward-thinking values driven organisation making a difference.

Shortlisting today

Salary: £60k-75k + Excellent Benefits

Location: Birmingham - Flexible/Hybrid c2-3 days a week in office

Role
You will be a Data & AI solution expert for SAP Business Data Cloud

Expert SAP Datasphere, SAP Analytics Cloud, SAP Databricks, and SAP HANA Cloud.

Deliver standard or customized demos, workshops

Lead discovery phases, data maturity assessments, solution scoping, and architecture reviews.

Design end-to-end modern data architectures including data warehousing, data fabric, analytics, and AI readiness.

Lead proofs-of-concept and feasibility assessments for complex data and AI scenarios.

Help to shape strategy and Data & AI positioning.

Commercial experience:

7+ years of experience in consulting within data, analytics, or AI domains.

Good experience ofin SAP Business Data Cloud, including Datasphere, SAP Analytics Cloud, HANA Cloud, and SAP application data models.

Experience with hyperscaler data platforms and ecosystems (AWS, Azure, GCP; Databricks, Snowflake, Microsoft Fabric).

Strong understanding of modern data architecture, data warehousing/lakehouse, analytics, and AI/ML concepts.

Skills you’ll use:

SAP Business Data Cloud (BDC)
SAP Datasphere & HANA Cloud
Analytics, Data Warehousing & Lakehouse
Artificial Intelligence & AI Readiness, Databricks
Cloud & SaaS/PaaS Platforms
SAP Cloud Suite Portfolio
RISE with SAP

Any presales experience would be of great benefit

About the Company: Aviva is investing in its strategic data platform to unlock actionable insights across Insurance Claims. Location: NR1 3NG (50% office based 50% from home) About the Role: Randstad Sourceright is recruiting on behalf of Aviva. We are seeking an experienced Analytics Engineer to design, build, and maintain high-quality analytical data models using dbt and Snowflake, supporting key Claims use cases across Motor, Property, and other Lines of Business. This role sits at the intersection of data engineering, BI, and business understanding—transforming raw operational data into trusted, governed datasets that enable reporting, self-service analytics, and advanced insight generation. Responsibilities: \* Design and implement scalable analytical data models in Snowflake using dbt, following best practices including dimensional modelling, Slowly Changing Dimensions (SCDs), and incremental processing. \* Transform complex Claims source data into business-ready datasets aligned with agreed metrics and definitions. \* Own and evolve models that underpin dashboards, management information (MI), regulatory reporting, and ad-hoc analysis. \* Collaborate with business and technical teams to understand requirements and deliver actionable data solutions. \* Maintain documentation, testing, and quality standards to ensure data reliability and consistency. Qualifications: \* Strong SQL skills and experience building analytical models in Snowflake. \* Hands-on experience with dbt, including models, tests, documentation, and incremental strategies. \* Solid understanding of data modelling techniques, such as Kimball-style dimensions, facts, and Slowly Changing Dimensions. \* Experience handling large, complex datasets in an enterprise environment. \* Excellent problem-solving, collaboration, and communication skills, with the ability to explain complex data concepts to business stakeholders. Required Skills: \* Strong SQL skills \* Experience with dbt \* Data modelling techniques \* Handling large datasets \* Problem-solving and communication skills Preferred Skills: \* Experience in an enterprise environment Pay range and compensation package: Contract: 6 Months Equal Opportunity Statement: Aviva is committed to diversity and inclusivity

Snowflake Data Engineer - 6 Months - Outside IR35 A leading tech company requires a data engineer for an initial 6-month contract. The position is hybrid, outside IR35, and will likely extend long-term due to the amount of work they have in the pipeline. The Role: You will be part of a rapidly growing data team helping to deliver their leading data platform, which is being used to drive key decision-making in renewable energy and its use around the world-tech for good, you could say! They are looking for a data engineer with demonstrable experience with Snowflake building complex systems to ingest and process large volumes of data. The main tools you will be using day to day are: *\* Snowflake \ Python *\* SQL \ DBT You: Our customer is looking for someone well-versed in the above tools/technologies. They also need someone who understands the principles of Data Engineering and is willing to roll up their sleeves, as this project is critical for them. As a Senior member of the team, you are expected to pick up their tooling quickly, work closely with other team members, and help build upon an already industry-leading product. Rate / Process: This role is based in Edinburgh City Centre. This is a hybrid role, and they are looking for someone on-site a couple of times a week. The interview process will include a short video call with the Head of Data. Interviews will be held this week and next, starting in the first week of May. Rate-wise, we have between £500 - £550 per day + VAT, depending on experience and availability. If this sounds interesting and relevant to you at this time, please apply straight away and call Andy Weir at Cathcart Technology. Cathcart Technology is acting as an Employment Business in relation to this vacancy

Lead Analytics Engineer / Senior Data Contractor

London / Hybrid Contract SaaS / Product-Led Environment

I’m currently supporting a fast-growing SaaS business with an urgent requirement for an experienced Lead Analytics Engineer / Senior Data Contractor to help drive and stabilise their analytics capability.

This is a highly hands-on role,ideal for someone who enjoys working across data engineering,analytics,and commercial insight ,with strong exposure to modern cloud data stacks and stakeholder-facing delivery.

You’ll be joining a fast-paced environment where data is central to product,commercial,finance,and leadership decision-making.

The Role

You’ll take ownership of analytics delivery across the business,helping to ensure data is trusted,accessible,and directly supports strategic decisions.

Key responsibilities include:

Designing and maintaining scalable data pipelines and analytical datasets
Building and refining SQL / dbt transformation logic
Developing robust semantic models and business metrics frameworks
Delivering high-quality Power BI dashboards and reporting
Supporting cloud data warehouse environments such as Redshift,Snowflake,Databricks,or similar
Driving data quality,validation,and testing best practice
Working closely with product,commercial,finance,and leadership teams
Translating complex data into clear,decision-ready insight

Required Experience

We’re looking for someone with strong hands-on capability across:

Advanced SQL
dbt
Python
Power BI
Cloud warehouse experience ( Redshift / Snowflake / Databricks / Fabric / AWS )
Strong data modelling and semantic layer design
KPI / metrics ownership
Experience in SaaS,product-led,fintech,or scale-up environments

Ideal Background

This role would suit someone currently working as a:

Lead Analytics Engineer
Senior Analytics Engineer
Senior Data Engineer
Data & Analytics Lead
BI / Analytics Contractor

Location

London / hybrid working.

If this sounds relevant,please apply or get in touch directly for more information.

RSMB is seeking an experienced and highly capable Senior Full Stack Engineer to play a central role in the design, development, and evolution of our expanding product suite, including Barb Ads Hub, NMO XCM, and our Data Fusion platform. You will join the team based in London (Hybrid 2 days per week in the office). Youwill join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £85,000 per annum, based on experience.

RSMB is a leading company specialising in media measurement solutions. We work with a wide range of clients delivering both long-term contracts like Barb (UK TV audience measurement) and RAJAR (Radio audience measurement), and ad hoc projects. We are proud that we have been a Barb TV audience measurement contractor since 1989 and a RAJAR contractor since 2007. Our team of around 50 people are based in Central London, and we are currently operating hybrid working: splitting the week between home and office working.

The Senior Full Stack Engineer role:

This role sits within the Development team in the Technology department and is critical to delivering scalable, high-performance, data-driven products. You will work across the full stack, contributing to backend services, APIs, and frontend applications, while collaborating closely with data science, product, and external partners to deliver robust, user-focused solutions. RSMB has been a specialist in data science and audience measurement for almost 40 years, best known for developing industry-standard methodologies and measurement solutions. We are now building on that heritage through a growing suite of platforms designed to connect datasets, power advanced analytics, and deliver actionable insights across organisations. With around 50 staff and a hybrid setup in Central London, we combine deep technical expertise with a collaborative, product-focused mindset.

Key responsibilities as our Senior Full Stack Engineer will include:

Full Stack Development & System Design

• Designing and building scalable, maintainable, and high-performance applications across backend and frontend layers.
• Developing backend services using Python and SQL, with integration into Azure-based infrastructure and Snowflake data platforms.
• Building intuitive, performant front-end interfaces using React and modern JavaScript/TypeScript frameworks.
• Contributing to architecture decisions across multiple products, ensuring consistency, scalability, and long-term maintainability.
• Designing and developing APIs for internal and external consumption.

Data Platform & Product Engineering

• Working on data-intensive products, including Data Fusion and analytics platforms, handling large-scale datasets and complex transformations.
• Collaborating with data scientists to productionise models, pipelines, and analytical workflows.
• Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases.
• Ensuring data quality, integrity, and observability across systems.

Delivery & Engineering Excellence

• Taking ownership of features from design through to deployment and ongoing iteration.
• Working within agile development processes, contributing to sprint planning, estimation, and continuous improvement.
• Writing clean, well-tested, and maintainable code, with strong emphasis on automated testing and CI/CD practices.
• Contributing to engineering standards, code reviews, and best practices across the Development team.

Cross-functional Collaboration

• Working closely with Product Managers, Data Scientists, QA, and Technical Leadership to deliver high-quality products.
• Collaborating with external partners, clients, and industry stakeholders where required.
• Translating complex data and technical requirements into scalable engineering solutions.

AI-Enabled Development Practices

• Effectively integrating AI-assisted development tools (e.g., code generation, testing, debugging, documentation) into day-to-day workflows.
• Applying critical judgement to ensure correctness, security, and maintainability of AI-assisted outputs.
• Continuously evaluating emerging AI tools and practices to improve engineering efficiency and quality

What we are looking for in our Senior Full Stack Engineer:

• Proven experience (typically 5 10+ years) in full stack software engineering, ideally within data heavy, analytics, or SaaS environments
• Strong backend development experience with Python and SQL (relational and/or analytical databases).
• Experience working with cloud platforms, particularly Azure.
• Experience working with modern data platforms such as Snowflake (or similar analytical warehouses).
• Experience with .NET is desirable.
• Strong frontend development experience using React and modern JavaScript/TypeScript.
• Experience designing and building APIs and distributed systems.
• Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation.
• Experience with CI/CD, containerised systems, and modern deployment workflows.
• Familiarity with working alongside data science teams and deploying data-driven products.
• Experience working in agile environments (Scrum/Kanban) with strong ownership of delivery.
• Strong problem-solving skills and ability to work with complex, data-rich systems.
• Excellent communication skills and ability to collaborate across technical and non-technical stakeholders.

What you ll get in return as our Senior Full Stack Engineer:

• A central role in building industry-leading platforms such as Barb Ads Hub, NMO XCM, and Data Fusion.
• Opportunity to work on complex, high-impact data and analytics products used across the media ecosystem.
• Exposure to cutting-edge work in data integration, analytics, and measurement.
• Hybrid working model (2 days per week in our Central London office).
• A collaborative environment with strong engineering and data science expertise.
• 25 days holiday rising to 30, private medical insurance, pension, season ticket loan and more.

Ready to help shape the next generation of RSMB s product portfolio?

If you feel you have the skills and experience to become a Senior Full Stack Engineer in this exciting role, then please click apply now We’d love to hear from you!

Please note that applicants must have the right to work in the UK. We are not accepting unsolicited agency applications for this role.

We are working with a global healthcare and insurance organisation who are making a real difference to people’s lives.

We require an experienced Senior Data Platform Engineer to join the AI and Data Platform teams.

100,000 + Bonus + Excellent Benefits

Fully remote with occasional travel to one of their offices.

You will contribute to the design and operation of a scalable, secure enterprise data platform supporting advanced analytics and business intelligence in a healthcare and insurance setting.

You’ll work with high autonomy, mentor junior engineers, and drive technical excellence while ensuring compliance and performance. This is a key role in shaping a robust, automated data platform that powers better patient care and smarter insurance services.

Please note: this is a Platform Engineering role rather than a Data Engineering position.
We welcome applications from data engineers who also bring strong platform engineering experience - for example, working with IaC, Terraform, or similar tooling.

Role:

Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components.
Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments.
Build and optimise CI/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments.
Implement observability practices including logging, metrics, and alerting using observability tools.
Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns.
Provide technical guidance and mentorship to mid-level engineers, promoting best practices in automation and. monitoring

Key Skills / Qualifications needed for this role:

Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions.
Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric.
Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions.
Strong grasp of observability practices, including logging, metrics, alerting, and performance optimisation.
Deep understanding of cloud security, with experience applying secure-by-design principles in Azure and/or Snowflake (e.g., network isolation, IAM, data protection).
Proficiency in scripting and automation using PowerShell, Bash, or Python.
Collaborative mindset, with a proven track record of working effectively across engineering, data science, and business teams.
Clear communicator, capable of documenting technical designs, contributing to platform standards, and presenting solutions to stakeholders.
Leadership experience, including mentoring junior engineers and fostering a culture of continuous improvement and knowledge sharing - highly desirable.

This is majority remote based although you will need to attend the office in either London or Manchester when needed.

This company look after their employees and you can expect a large bonus plus some excellent benefits.

We are interviewing currently so apply now for immediate consideration for the Senior Data Platform Engineer position or contact Stuart Barnes at ITSS Recruitment for further information.

A leading organisation undergoing major investment in its data and engineering capabilities is looking for a Senior Automation QA Engineer to strengthen quality across complex, distributed systems. This role sits at the intersection of software engineering and data engineering, supporting the delivery of high‑quality services and reliable data products at scale. You’ll work closely with cross‑functional teams, driving automation, improving test maturity, and ensuring the accuracy and resilience of data pipelines and backend services. This is a hands‑on role suited to someone who enjoys ownership, technical depth, and influencing engineering best practice. Essential Skills & Experience Strong background in automation testing for microservices‑based architectures. Hands‑on experience building automation frameworks using Java or similar languages. Solid experience testing REST APIs, backend services, and service‑to‑service integrations. Proven experience validating data engineering pipelines (ETL/ELT, batch jobs, scheduled data builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big‑data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git‑based version control. Exposure to cloud environments (Azure, AWS, or GCP). Understanding of distributed systems and microservices architecture. This contract is inside IR35. You will be required to work through an umbrella company for the duration of the project

Data Engineer (SQL / Python)

Onsite 3 times per week (Leicester or Nottingham office)

35K - 40K DOE

Our client is looking to appoint a Data Engineer to join their expanding data team. This is an excellent opportunity for someone with solid foundational experience who is eager to develop their skills and grow within a modern, cloud-based data environment.

Working alongside senior engineers and analysts, the successful candidate will contribute to the design and development of scalable data solutions while gaining exposure to cutting-edge technologies.

The role will involve:

• Supporting the development and maintenance of cloud-based data pipelines
• Assisting in the design and optimisation of data models and architectures
• Working with analytics teams to ensure high-quality, reliable data outputs
• Contributing to best practices in data governance and engineering standards

The successful candidate will ideally have:

• Experience with at least one cloud platform (Azure, AWS, or Snowflake)
• Exposure to Databricks or similar modern data processing tools
• Working knowledge of SQL and some experience with Python
• An understanding of data warehousing concepts
• A strong desire to learn, develop, and progress within a data engineering career

Importantly, given the level of this role, our client is open to candidates who may not tick every box. They are keen to speak with individuals who demonstrate strong potential, a solid grasp of core concepts, and a genuine enthusiasm to build their technical capability within a supportive team environment.

This role offers genuine progression, hands-on learning from experienced engineers, and the chance to be part of a collaborative and forward-thinking data team.

Please apply asap if interested - GleeIT - Data Engineer

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Senior Data Engineer London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) £70,000 to 80,000 depending on experience Ref: J13073 A growing AI SaaS business, where data sits at the centre of everything they build, is looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. This is an opportunity to work with real world, complex data and turn it into reliable, decision ready datasets used across product, analytics and machine learning. Python and SQL sit at the heart of the role. The Opportunity ·You will design, build and maintain scalable data pipelines that support a fast moving AI platform. You will work closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. ·The business works with large volumes of imperfect and inconsistent data, so you will need to be comfortable handling edge cases, improving data quality and solving complex data challenges. ·The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. ·You will also have the opportunity to support and mentor other engineers through collaboration, code reviews and sharing best practice. ·The team is supportive, highly collaborative and values different perspectives. ·Engineers are given the space to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities ·Design, build and maintain scalable data pipelines ·Own data pipelines from source through to production ·Work with messy, incomplete and complex datasets to create clean, reliable outputs ·Improve data quality, performance and reliability as the platform scales ·Collaborate closely with product, analytics and machine learning teams ·Contribute to code reviews, engineering standards and best practice ·Support and mentor other engineers within the team What We Are Looking For ·Strong Python and SQL expertise gained within large scale production environments ·Experience delivering complex data transformation projects end to end ·Experience with Spark, Snowflake, BigQuery or similar technologies ·Exposure to cloud environments such as AWS, GCP or Azure ·Comfortable working with large, messy and evolving datasets ·Experience taking ownership of pipelines and data engineering solutions from design through to deployment ·A collaborative approach with experience mentoring or supporting other engineers If you enjoy building the data foundations behind AI products and want to join a business where you can have real impact, this could be an excellent fit. To find out more, please get in touch. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. If you know someone who may be interested, referrals are always welcome. For every successful placement, you will be eligible for our referral reward scheme. Datatech is one of the UK's leading recruitment agencies specialising in Data, Analytics, AI and Technology recruitment, and is the host of the Women in Data event

Snowflake Data Engineer - 6 Months - Outside IR35 A leading tech company requires a data engineer for an initial 6-month contract. The position is hybrid, outside IR35, and will likely extend long-term due to the amount of work they have in the pipeline. The Role: You will be part of a rapidly growing data team helping to deliver their leading data platform, which is being used to drive key decision-making in renewable energy and its use around the world-tech for good, you could say! They are looking for a data engineer with demonstrable experience with Snowflake building complex systems to ingest and process large volumes of data. The main tools you will be using day to day are: Snowflake Python SQL DBT You: Our customer is looking for someone well-versed in the above tools/technologies. They also need someone who understands the principles of Data Engineering and is willing to roll up their sleeves, as this project is critical for them. As a Senior member of the team, you are expected to pick up their tooling quickly, work closely with other team members, and help build upon an already industry-leading product. Rate / Process: This role is based in Edinburgh City Centre. This is a hybrid role, and they are looking for someone on-site a couple of times a week. The interview process will include a short video call with the Head of Data. Interviews will be held this week and next, starting in the first week of May. Rate-wise, we have between 500 - 550 per day + VAT, depending on experience and availability. If this sounds interesting and relevant to you at this time, please apply straight away and call Andy Weir at Cathcart Technology. Cathcart Technology is acting as an Employment Business in relation to this vacancy.

Senior Site Reliability Engineer (SRE) - Data & AI Platforms

Location: Glasgow, Scotland (Hybrid - 3 days onsite, non-negotiable)
Duration: 6 months with extensions likely

Day rate: PAYE circa £430

We are seeking an experienced Senior Site Reliability Engineer to support a strategic, data- and AI-driven platform delivering operational intelligence at scale. This role sits at the intersection of software engineering, platform operations, and data infrastructure, with a strong focus on reliability, automation, and continuous improvement.

Key Responsibilities:

• Own reliability, availability, and performance across DEV, QA, and PROD environments
• Apply SRE principles (SLIs/SLOs) to improve resilience and reduce operational toil
• Build automation tooling (primarily Python) to streamline workflows
• Develop and maintain CI/CD pipelines for data and platform services
• Lead incident response, root cause analysis, and preventative improvements
• Implement monitoring, alerting, and observability across systems
• Support cloud data platforms (including Snowflake) for scalability and cost efficiency
• Enable reliable deployment of AI-driven services and data pipelines
• Collaborate with engineering, data, and product teams in Agile environments

Required Skills & Experience:

• Extensive experience in SRE, platform engineering, or similar roles
• Strong Python scripting and automation experience
• Proven experience managing production systems at scale
• CI/CD and modern software delivery practices
• Cloud data platforms and relational databases knowledge
• Strong troubleshooting and communication skills

Desirable:

• Experience with AI/LLM platforms, BI tools, and semantic data models
• Background in large-scale or regulated environments

Please apply today to be considered

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Your new role
As part of the Data Analytics & AI team, you’ll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business.
What You’ll Do Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features.
Ensure Data Quality: Apply governance, security, and compliance standards.
Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics.
Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines.
Contribute to Best Practices: Help define standards for naming, schema design, and development processes.

What you’ll need to succeed

• Strong hands-on experience with Snowflake, SQL, Python, and Dbt
• Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred)
• Experience supporting analytics using BI tools such as Power BI
• Familiarity with data ingestion tools (e.g. Airbyte, Fivetran)
• Working knowledge of Git, CI/CD, and modern data engineering practices

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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Senior Data Engineer - MUST have London Market / Lloyds of London Insurance experience - hybrid London £60,000 - 75,000 plus 15% cash flex (guaranteed income and can be taken as cash or used to buy extra benefits) plus bonus We are seeking a Senior Data Engineer with strong Insurance and London Market expertise to design, build, and lead scalable data engineering solutions across underwriting, pricing, claims, reinsurance, and delegated authority domains. This role plays a key part in modernising cloud‑native data platforms using medallion architecture, enabling analytics, regulatory reporting, and AI‑driven use cases. You will provide hands‑on technical leadership while engaging senior stakeholders across business and technology teams. Your Role: Design and implement cloud‑based data platforms using Medallion Architecture Build and optimise batch and real‑time data pipelines for underwriting, pricing, claims, reinsurance, and bordereaux ingestion. Develop scalable pipelines using Python and PySpark on Databricks and/or Snowflake. Integrate data from PAS, claims systems, broker platforms, third‑party providers, and market feeds. Ensure robust data quality, reconciliation, lineage, and auditability aligned to London Market and regulatory expectations. Apply AI‑assisted software engineering techniques using OpenAI / Claude models to improve engineering productivity. Enforce engineering governance including code reviews, CI/CD, branching strategies, and deployment standards. Act as a trusted technical advisor, mentoring engineers and engaging senior business and IT stakeholders. Your Skills: Strong experience as a Senior Data Engineer within Insurance, ideally the London Market. Deep domain knowledge of Lloyd's syndicates, delegated authority, reinsurance (including ceded), pricing, and claims. Proven hands‑on expertise in Python, PySpark, Databricks, and/or Snowflake. Solid understanding of cloud platforms (Azure, AWS, or GCP). Familiarity with DevOps, CI/CD pipelines, Git workflows, and automated testing practices. Ability to translate complex insurance business requirements into scalable technical solutions. Excellent communication skills and confidence working with senior stakeholders across Data, Underwriting, Finance, and Actuarial teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this permanent job, you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003. The advertised salary range is dependent on experience and the required qualifications. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003