AleadingFinancialServicesorganisationundergoingalargescaledatatransformationislookingtohireanexperiencedDataQualityManageronapermanentbasis.Theroleoffersasalaryof£95,000plusastrongbenefitspackageandflexibleworking.
ThisrolewillsuitatechnicallycredibleDataQualityleaderwithagenuinepassionfordataquality,accuracyandtrust.Youwillworkcloselywithdataengineersandplatformteamstoembedpragmaticgovernanceandqualitycontrolsintodelivery,whileinfluencingstakeholdersacrossthebusinessandpossessacommercialmindset.
Thisisahandsontechnicalleadershiprole,combiningdataqualityandgovernanceownershipwithpracticalengineeringinput.YouwillleadasmallteamandpartnerwithdataengineersandoperationalSMEstoembedbestpracticeacrossdataquality,governanceanddatamanagement.
Roleremit
- Ownandevolvethedatagovernanceframeworkwithinanengineering-ledenvironment
- Definegovernancestandards,guardrails,datacontractsandSLAs
- PartnerwithRisk,Audit,DataProtectionandLegaltomeetcompliancerequirements
- Workwithdataengineeringteamstoembeddataqualityintopipelinesandworkflows
- Providehands-onguidanceondatamodelling,reconciliation,metadataandbestpractice
Experiencerequired
- StrongbackgroundinDataQuality,DataGovernanceandDataManagementwithinamoderndataengineeringenvironment
- Hands-onexperiencewithclouddataplatforms,Azure,SQL,Pythonandorchestrationtools
- ProvenexperienceembeddingdataqualitycontrolsacrossdatapipelinesandETLtransformationworkflows
- Goodunderstandingofmoderndataarchitecturesandqualitycontrolpatterns
- Experiencewithdataprofiling,lineageanalysis,reconciliationandmetadatamanagement
- Strongstakeholdercommunicationskillswiththeabilitytoinfluenceengineeringteams
IfyouareanexperiencedDataQualityManagerwiththerequiredbackground,pleaserespondwithanup-to-dateCVforreview.
SQL Developer - Contract - (Apply online only) per day - Outside of IR35
I am currently looking for a strong SQL Developer. My London based client is looking to get someone started immediately.
As a SQL Server/ ETL Developer you will have strong SQL Scripting skills and have the ability to Write stored procedures from scratch. The client is in the process of trying to upload/import over 400 files on a daily basis with no delays.
Location: Remote
Length: 6 months with strong view to extend
Day Rate: 250 Per Day - Dependent on experience
IR35 Status: Outside of IR35.
Required experience will include:
- You will need experience developing ETL pipelines from various sources.
- Experience designing, tuning and maintaining existing ETL Processes.
- The ability to write stored procedures from scratch using SQL.
- Experience with Azure Data Platform will be beneficial. Including Data Factory, Databricks and Synapse
- Strong Excel Skills
- Strong knowledge of building reports for analytics
- Strong MSBI Skills: SSIS, SSRS, SSAS, SQL, T-SQL.
If you are interested in this SQL Server/ ETL Developer role please apply with your most recent CV. Alternatively email me on Jordan co . uk.
SQL Developer - Contract - 250 per day - Outside of IR35
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.
Key Responsibilities
- Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
- Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
- Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
- Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
- Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
- Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
- Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs.
Knowledge, Skills & Experience
- Degree in Computer Science, Data Engineering, or a related field.
- Proven experience designing and building cloud-based data platforms, ideally within Azure.
- Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory.
- Solid understanding of Data Lakehouse architecture and modern data platform design.
- Proficiency in Python for data engineering, automation, and data processing.
- Experience developing and integrating REST APIs for data services.
- Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms.
- Experience with Infrastructure as Code tools such as Terraform or ARM templates.
- Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts.
- Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor).
Desirable
- Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps).
- Knowledge of cloud cost optimisation for data platforms.
- Understanding of data governance and regulatory compliance (eg, GDPR).
- Experience working in regulated or professional services environments.
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 Capability
The 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.
Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse
The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.
Key Responsibilities
- Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
- Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
- Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
- Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
- Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
- Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
- Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs.
Knowledge, Skills & Experience
- Degree in Computer Science, Data Engineering, or a related field.
- Proven experience designing and building cloud-based data platforms, ideally within Azure.
- Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory.
- Solid understanding of Data Lakehouse architecture and modern data platform design.
- Proficiency in Python for data engineering, automation, and data processing.
- Experience developing and integrating REST APIs for data services.
- Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms.
- Experience with Infrastructure as Code tools such as Terraform or ARM templates.
- Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts.
- Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor).
Desirable
- Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps).
- Knowledge of cloud cost optimisation for data platforms.
- Understanding of data governance and regulatory compliance (eg, GDPR).
- Experience working in regulated or professional services environments.
Ready to start your career as a Data Analyst?
The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you’re looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion.
Why this programme matters
We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you’ll be ready for business challenges from day one.
What you’ll get:
- Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.
- Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.
- Real-world project work to enhance your CV and show our end employers you can deliver.
- Job guarantee: If you complete the programme and don’t receive a job offer, we’ll refund 100% of your course fee.
Your investment:
- Course cost: £2,795
- Payment plan: From £232.91 per month (interest-free)
No prior tech-job experience? No problem.
You don’t need to come from a data background. If you bring curiosity, communication skills, and a willingness to learn, this programme will equip you for a transition into a demanding and rewarding role.
Take the next step now.
Click ‘Apply Now’ and embark on a career where data drives decisions, and you drive your future.
This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
We are seeking an Analytics‑focused Data Engineer to design and build trusted, analytics‑ready datasets on a modern AWS and Databricks data platform. This role is critical to enabling business intelligence, reporting, and advanced analytics by transforming raw data into well‑modeled, high‑quality, and performant analytics layers.
You will work closely with analytics, BI, finance, and product teams to ensure data is easy to consume, well understood, and reliable for decision‑making at scale.
Key Responsibilities
Analytics‑Ready Data Modeling
Design and implement analytics‑optimized data models (fact/dimension, star/snowflake schemas).
Build and maintain curated analytics layers (gold tables) in Databricks using Delta Lake.
Translate business requirements into clear, reusable datasets for dashboards and reports.
Support semantic consistency across metrics, dimensions, and KPIs.
Data Pipelines & Transformations
Develop and maintain ETL/ELT pipelines using Databricks (Spark SQL, PySpark).
Transform raw and intermediate data into clean, documented, and performant analytics datasets.
Implement incremental processing, partitioning, and optimization techniques for BI workloads.
Ensure pipelines are resilient, observable, and production‑ready.
AWS Analytics Platform
Leverage AWS services such as S3, Glue, Redshift, Lambda, and IAM to support analytics use cases.
Integrate Databricks with AWS storage and security services.
Monitor pipeline execution, performance, and cost for analytics workloads.
Data Quality, Metrics & Trust
Implement data quality checks, reconciliation logic, and anomaly detection for analytics data.
Validate accuracy of business metrics used in executive dashboards and reports.
Support data lineage, documentation, and metric definitions.
Partner with stakeholders to ensure a single source of truth for analytics.
BI & Analytics Enablement
Support downstream tools such as Power BI, Tableau, or similar BI tools.
Optimize datasets for dashboard performance and concurrency.
Collaborate with analysts to improve query patterns and data usage.
Enable self‑service analytics through well‑designed datasets and documentation.
Required Qualifications
5-8+ years of experience in data engineering or analytics engineering roles.
Strong experience with Databricks for analytics workloads.
Advanced proficiency in SQL (complex transformations, window functions, performance tuning).
Solid experience with AWS‑based analytics architectures.
Strong experience with data modeling for analytics.
Proficiency in Python or PySpark.
Experience supporting BI, reporting, and analytics teams.
Nice to Have
Experience with Analytics Engineering / ELT patterns.
Familiarity with dbt or similar transformation frameworks.
Experience supporting finance or executive reporting.
Knowledge of data governance, metric catalogs, or data discovery tools.
Experience with streaming data for near‑real‑time analytics.
Exposure to regulated or enterprise analytics environments.
About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
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This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Job Description
We are looking for a Senior hands-on Data Engineer for Cloud Data Lake design and development. The candidate should have Financial Services experience in design, architecture and development of large scale enterprise applications using Cloud based Data engineering platforms. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.
Main Duties and Responsibilities:
• End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.
• Build data integrations, hand-offs between on-prem/cloud-based systems.
• Design and develop high volume data ingestion components and solutions to collect data from various sources.
• Manage and use appropriate tools in the cloud data lake development and deployment.
• Responsible for developing/implementing cloud infrastructure to support current and future business needs.
• Participating in technical design, application build, configuration, unit testing, and production deployment.
• Ensuring all cloud solutions exhibit higher level of cost efficiency, performance, security, scalability, and reliability
Required Skills:
• Development experience in designing, developing and deploying complex applications.
• Strong tech skillset/experience in PL/SQL, Java/J2EE, Python, Scala, PERL/scripting .
• Hands on experience with Cloud platforms, preferably using Databricks.
• Experience in building systems using modern, scalable, resilient, cloud native architectures.
• Experience in Data Modeling and database design with strong skills in performance tuning.
• Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.
• Hands on experience in big-data processing, troubleshooting and resolving database performance issues.
• Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.
• Experience with optimizing database performance, scalability, ensuring data security and compliance.
• Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.
• Proficiency with CICD and DevOps.
Education & Qualifications
Bachelor’s/Master’s Degree in a Computer Science, Engineering or Math or equivalent experience
10+ years’ experience in professional software design and development.
Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently
Proven ability to develop and work with cross functional processes and project timelines
Excellent follow-through, attention to detail and time management skills
About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
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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
About The Company
We are a fast-growing, acquisitive group built from diverse businesses with unique backgrounds and processes. Our mission is to harness the power of data to deliver actionable insights that improve care and performance.
About The Role
As a Data Engineer, you will play a key role in developing and maintaining our analytics platform, enabling data-driven decision-making across the organisation. You’ll collaborate with stakeholders to streamline workflows, automate processes, and ensure the accuracy and reliability of data. This is an exciting opportunity for someone who thrives in a dynamic environment and is passionate about leveraging data to create business value.
Key Responsibilities
Maintain and optimise our Azure environment for performance, security, and scalability.
Design and build scalable data pipelines using Spark, PySpark, and SQL within a Databricks environment.
Structure data in Delta Lake format to support medallion architecture layers.
Develop and refine Power BI dashboards, reports, and apps that are insightful and user-friendly.
Automate reporting processes using Power Platform, Power Apps, and SharePoint.
Ensure robust data governance, security, and compliance with regulatory standards.
Provide training and documentation to empower colleagues to access and interpret data independently.
Troubleshoot and resolve issues related to Power Query, SQL, Power BI, and other systems.
Collaborate with operational teams to generate actionable insights and influence business activities.About You
We’re looking for someone with:
Strong experience in data modelling, ETL processes, and business intelligence tools.
Proficiency in Python or SQL for data analysis and processing.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
Knowledge of data governance, security, and compliance standards (e.g., GDPR).
Excellent communication skills for both technical and non-technical audiences.
A proactive, solutions-focused mindset with the ability to work under pressure and manage competing priorities.Desirable:
Experience with Databricks, Delta Lake, and medallion architecture.
Knowledge of CI/CD practices and Agile methodologies.
Understanding of Microsoft Fabric services.Our Core Values:
➡️Supportive: Helping everyone reach their full potential.
➡️Ambitious: Striving for the best outcomes.
➡️Loyal: Prioritising our staff and the people we support.
➡️Unique: Innovating without compromising quality.
➡️Transparent: Fostering openness and mutual respect.
➡️Engaging: Partnering with everyone involved.
➡️Meaningful: Offering fulfilling opportunities.
Why Choose Us?
✅Emotional Support: 24/7 Employee Assistance, mental health resources, meditation apps, and bereavement support.
✅ Medical Support: Free Online GP access, Health Cash Plan, Cancer Cover, and Menopause support.
✅ Financial Support: Flexible pay with Wagestream, utility bill savings, Money Helper, and Life Assurance.
✅ Physical Support: Online workouts, Cycle to Work scheme, gym discounts, and National Trust activities.
Still not convinced?
We have been recognised as a Top Employer 2025 in the United Kingdom.
We have been named as a Top 50 Inspiring Workplace Uk & Ireland
We are a Disability confident committed company.
Salutem Care and Education is dedicated to protecting and promoting the well-being of children, young adults, and vulnerable individuals. As part of our safer recruitment process, the successful candidate will be required to complete thorough pre-employment checks, including an enhanced DBS and, where applicable, overseas criminal record checks
Your new company Working for a renowned financial services organisation Your new role Seeking a Data Engineer to help design and maintain scalable batch and near‑real‑time ingestion pipelines, modernizing legacy ETL/ELT processes into Azure and Snowflake, and implementing best‑practice patterns such as CDC, incremental loading, schema evolution, and automated ingestion frameworks. They build cloud‑native solutions using Azure Data Factory/Synapse, Databricks/Spark, ADLS Gen2, and Snowflake capabilities including stages, file formats, COPY INTO, and Streams/Tasks to support raw‑to‑curated data modelling. The role involves creating reusable components and Python libraries to accelerate delivery across teams, enforcing data quality through validation, observability, and robust pipeline design, and ensuring strong security, governance, and documentation standards. Collaboration within agile workflows-including CI/CD, code reviews, and iterative planning-is also key to delivering consistent, reliable, and secure data solutions. What you'll need to succeed Strong hands-on data engineering experience, with strong focus on data ingestion Experience building production pipelines using Azure Data Factory, Databricks, Synapse Solid SQL skills and experience working with modern cloud data warehouses, ideally Snowflake Proficiency in Python for data processing, automation, and pipeline utilities Good understanding of data lake/lakehouse concepts and ingestion patterns Infrastructure-as-Code exposure (Terraform) and CI/CD (Azure DevOps) Able to prototype quickly while adhering to Group standards and controls Communicates clearly with business stakeholders and technical teams Familiarity with orchestration frameworks (Dagster) - desirable Energy commodity trading experience is a real advantage What you'll get in return Flexible working options available. 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. Hays Specialist Recruitment 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 the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Your new company An established and fast‑growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high‑speed fibre networks, the business is committed to delivering world‑class broadband services to communities and supporting a data‑driven future. You'll be joining a forward‑thinking environment that values innovation, collaboration, and continuous improvement. Your new role As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation's enterprise data platform. Working within a specialist Data Analytics & AI team, you'll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data‑led decision‑making across the business.You will translate data architecture strategies into high‑quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well‑structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you'll work closely with analysts, data consumers, and business stakeholders, enabling them through well‑designed data models and providing technical support where needed. You'll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team. What you'll need to succeed Proven experience delivering cloud‑based data engineering solutions, ideally centred around Snowflake Strong skills in SQL, Python, and dbt for data modelling and transformation Experience with Snowflake RBAC and performance optimisation Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar Understanding of cloud technologies (AWS preferred) Knowledge of data modelling, governance principles, and best‑practice engineering standards Experience supporting BI/reporting tools such as Power BI Solid grounding in version‑controlled development and CI/CD practices (git)Desirable: Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call‑centre data Experience in data platform migrations, data validation, and quality assurance Background in enabling business teams through training, documentation, or adoption support Familiarity with Terraform or Infrastructure‑as‑Code A mindset for continuous learning and staying up to date with modern data stack tooling 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. Hays Specialist Recruitment 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 the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
BI / Datawarehouse Lead / Manager Home / Prestigious Client Prestigious in their sector, my client has an excellent market image and continues to make a significant impact. They are heavily involved in an ambitious business / systems transformation, and we have an excellent opportunity for an established Datawarehouse Lead to join their team. The successful candidate will play a lead role in the technical development and management of their global Data Warehouse and supporting team. The successful candidate will have a proven background and experience of full cycle development of a corporate, Microsoft based Data Warehouse. Desired skills: Design, Build, Test, Azure, Fabric Lakehouse We are looking to recruit a high-calibre resource, so the client is happy to consider candidates from both a contract and permanent background. Please forward your most recent CV to be considered for telephone screening. SQL / BI / ETL / DATAWAREHOUSE / AZURE / FABRIC / SPARK / PYSPARK / LEAD / MANAGER / HOME / REMOTE / MIDLANDS / BIRMINGHAM / SQL / BI / ETL / DATAWAREHOUSE / AZURE / FABRIC / SPARK / PYSPARK / LEAD / MANAGER / HOME / REMOTE / MIDLANDS / BIRMINGHAM
About The Role
This is a brand-new role with a big remit and even bigger opportunity.
As our AI, Automation and Integration Engineer, youll be at the forefront of how Salvation Army Homes uses technology to work smarter, faster and more effectively. This isnt about maintaining the status quo - its about designing the future.
Youll lead the charge on automation, system integration and the responsible adoption of AI, helping us move towards streamlined processes, joined-up data, and genuinely intelligent digital services. From low-code automation and cloud integration to exploring practical AI use cases, youll have the space and backing to experiment, innovate and deliver real impact.
Working within our Digital, Data and ICT team, youll collaborate closely with colleagues across the organisation to turn ideas into working solutions. Youll help create a single version of the truth across our systems, reduce duplication and manual effort, and enable better decision-making through clean, connected data.
Because this role is new, youll play a key part in shaping how it operates - setting standards, defining approaches, and influencing how we use emerging technologies across the organisation. If youre excited by greenfield work, modern platforms and meaningful outcomes, this is a rare chance to make a role your own.
About The Candidate
Youre a hands-on technologist with a strong track record of delivering automation, integration and modern digital solutions in real-world environments - and youre ready to step into a role where you can shape both the technology and the approach.
Youll bring proven experience of designing and delivering process automation, ideally using the Microsoft Power Platform (Power Automate, Power Apps and Power BI), alongside experience building and supporting integrations between business-critical systems. Youre comfortable working across data, workflows and APIs to reduce manual effort and create seamless, joined-up services.
Youll have a strong technical foundation, including:
- Experience working with cloud platforms, particularly Microsoft Azure
- Solid SQL Server and database skills
- Experience developing solutions using modern development languages and tools
- A good understanding of data integration, data quality and governance principles
You dont just build solutions - you think about how theyre used, governed and scaled. You understand the importance of security, compliance and responsible data use, and you can balance innovation with control. Experience working in complex or multi-system environments is important, as is the ability to document, standardise and improve what you deliver.
Youre also excited by whats next. You may already have experience applying AI concepts in a business context, or you may be keen to develop this further - but either way, youre motivated to explore how AI and emerging technologies can be applied practically, ethically and at scale to improve services and decision-making.
Just as importantly, youre a strong collaborator and communicator. You can translate complex technical ideas into plain English, influence stakeholders at all levels, and work closely with analysts, data specialists and business teams to turn ideas into delivered outcomes. Youre organised, proactive, and comfortable managing multiple priorities in a fast-moving, evolving environment.
Above all, youre motivated by the opportunity to build something new, take ownership of a greenfield role, and play a leading part in an organisations journey towards automation, integration and AI-enabled services - while staying aligned with strong values and a clear social purpose.
The benefits on offer
In return for helping to transform lives, well give you access to some great benefits. These include:
- 26 days annual leave rising to 31 days
- An extra day off on your birthday
- A High Street discount scheme (great savings both on and off-line)
- Pension with life assurance
- Discounted private medical insurance
- Loans available for financial emergencies
- Occupational Sick Pay
- A full Induction package and training relevant to the role
- Support to learn and develop your career
About The Company
A registered social landlord andone of the leading providers of supported housing in the UK, Salvation Army Homes is dedicated to transforming lives by providing accommodation and support for some of the most vulnerable members of society - mainly people with complex needs and/or experiencing homelessness.
Our aim is to work with individuals to build on their strengths, creating person centred, individualised strategies and plans that transform lives, support recovery and enable positive behaviour. In order to succeed, however, we need the right people in place. Our workforce is one of our greatest assets, but only by recruiting the very best can we continue to deliver comprehensive, good quality housing services, support and resettlement. services to our residents. Thats where you come in.
As an equal opportunities employer, Salvation Army Homes is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We invite and welcome applications to apply for Salvation Army Homes opportunities without concern of bias or discrimination.
We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
Lead Power BI Developer (12 - month Fixed Term Contract)
Location: Remote
Overview
We are seeking a Lead Power BI Developer to deliver high-quality, scalable reporting solutions within a project-focused environment. This role combines hands-on development, leadership, and strong stakeholder engagement, including interaction with senior leadership and C-suite.
A key focus of this role is to establish and embed Power BI best practices across the organisation, coaching and enabling existing staff to improve capability, consistency, and long-term sustainability of BI solutions.
Key Responsibilities
Lead the design and delivery of Power BI dashboards, reports, and data models
Translate business requirements into scalable, user-friendly BI solutions
Drive best practice in data modelling, DAX optimisation, and report design
Own Power BI Service (workspaces, apps, deployment, governance)
Implement and manage access control (RLS, Azure AD security)
Establish governance, standards, and lifecycle management processes
Collaborate with data engineers on pipelines and data model design
Lead stakeholder engagement, including presenting to senior leadership and C-suite
Support testing, deployment, documentation, and user adoption
Mentor team members and provide technical leadership
Embed Power BI best practices across the organisation through coaching and enablement
Essential Skills & Experience
Proven experience delivering end-to-end Power BI solutions in a lead capacity
Strong expertise in Power BI Service, governance, and deployment
Deep understanding of access control (RLS, Azure AD groups)
Advanced DAX and strong SQL skills
Strong data modelling experience (star schema, performance optimisation)
Experience with Azure-based platforms and Databricks
Strong stakeholder management, including C-suite engagement
Excellent communication skills across technical and non-technical audiences
Desirable Experience
Databricks experience
Data warehousing and architecture design exposure
Experience building large-scale enterprise semantic models
Microsoft Dynamics Business Central or Navision
DevOps practices
If you are interested in the role then please apply or reach out
Are you ready and looking for a role that you can make your own, taking the autonomy to set out what and how you do it?
As we have grown, we have accumulated a diverse database infrastructure, including PostgreSQL, Maria DB, InfluxDB and MongoDB systems.
The timing is ripe for an experienced Administrator to take ownership, mature, upgrade and manage our database servers, while supporting development teams and business operations.
Key Accountability & Responsibilities
Work with teams across the Technology department to install, configure, maintain, and upgrade our database servers across development, testing, and production environments.
Monitor database health and perform routine maintenance tasks including index optimisation, table maintenance, and schema modifications.
Work with Development and Data engineering teams to optimise performance & cost of data pipelines
Manage database capacity planning and storage allocation to ensure adequate resources for current and future needs.
Proactive management of databases, ensuring application and operational performance needs are met.
Implement and maintain high availability solutions including replication, clustering, and failover configurations.
Document database architectures, configurations, procedures and policies.
Implement appropriate security controls to ensure databases and data are protected.
Ensure database backup, validation and disaster recovery capabilities are in place and rehearsed.
Provide insight and recommendation on the adoption and consolidation of database related technologies.
Be part of the on 24x7 on call rota to provide out of hours support for our critical systems.
Knowledge & Skills
Proven expertise managing PostgreSQL and MariaDB/MySQL databases
Experience with NoSQL databases.
Experience with cloud database services (AWS).
Deep understanding of relational database concepts, normalisation, and SQL optimisation.
Proficiency in SQL and query optimisation across multiple database platforms.
Experience with database replication, clustering, and high availability configurations.
Familiarity with backup and recovery tools specific to each database platform.
Understanding of database security principles and access control mechanisms.
Experience with monitoring tools and performance analysis techniques.
Knowledge of version control systems (Git) for managing database code and scripts.
Experience with database automation, CI/CD pipelines and tooling.
Gigaclear is a growing Fibre Broadband (FTTP / FTTH) company, developing our fibre-to-the-premises broadband infrastructure to some of the most difficult to reach areas of the UK, empowering those communities with broadband to rival any city.
Staff rewards, benefits and opportunities
We foster a collaborative, engaging culture that empowers staff to grow and maximise their skills. We want to challenge our people in a fair environment where hard work is rewarded and a path for progression is open to all.
- Generous employer pension; up to 8% matched contribution
- Income protection & life assurance
- 25 days holiday (plus bank holidays), holiday purchase scheme and Yay Days!
- Health cash plan, 24/7 remote GP access and Employee Assistance Programme including counselling & legal advice
- Unlimited access to online training and development content via our Learning Management System
- Long service benefits and monthly employee recognition
- Enhanced maternity and paternity provisions
- Flexible working environment
- Health & Wellbeing initiatives and company funded social events
Our approach is to work guided by our mission, vision and values.
Our Mission - Empowering communities with brilliant broadband
Our Vision - Connected Communities
Our Values - Own it, Find the Right Way, Work Together, Win Together
Senior Data Engineer (Data Modernization)
We are looking for a proactive, goal-oriented Senior Data Engineer to build and scale high-performance big data pipelines. This role is ideal for a collaborative problem-solver who excels in distributed environments and values technical excellence through CI/CD and Agile.
The Essentials
- Modern Modeling: Expert skills in Data Vault Mandatory and Dimensional modeling.
- Cloud & DevOps: Strong AWS experience with a focus on CI/CD and writing secure code.
- Data Governance: Proven ability to embed quality, lineage, and monitoring into every pipeline.
- Leadership: A passion for guiding and coaching fellow team members both technically and procedurally.
The Mission
You will lead data modernization efforts, ensuring large-scale systems remain compliant and secure while maintaining a “right tool for the job” mindset. You’ll bridge the gap between complex data engineering and actionable analytics/ML concepts.
Apply
If you have a passion for building well-governed, scalable systems and want to lead a high-impact team, please apply with your CV
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
We are seeking an experienced AI Engineer to develop and implement innovative AI solutions within the industrial and manufacturing sector. The role focuses on leveraging data analytics to optimise processes and drive efficiency.
Client Details
A well know manufacturing company with a global presence
Description
- Design and develop AI models to optimise manufacturing processes and workflows.
- Collaborate with cross-functional teams to identify and solve key operational challenges using analytics.
- Implement machine learning algorithms and predictive analytics to improve process efficiency.
- Analyse large datasets to extract actionable insights and present findings to stakeholders.
- Monitor and maintain AI models to ensure optimal performance and accuracy over time.
- Contribute to the development of data pipelines and infrastructure to support AI initiatives.
- Ensure compliance with industry standards and best practices in AI and data analytics.
- Document processes, methodologies, and project outcomes for internal knowledge sharing.
Profile
A successful AI Engineer should have:
- Proven experience in developing and implementing AI and machine learning models.
- Proficiency in programming languages such as Python, R, or similar tools.
- Machine Vision experience is beneficial
- Previously worked in manufacturing business with multiple sites
Job Offer
Day rate of (Apply online only) per day (outside IR35)
3 month contract with potential extension
Remote role, with occasional travel to site
Senior Data & Analytics Consultant - Fully Remote - Microsoft partner
60,000 - 70,000 + Bonus and the chance to have shares in the business as they move to an employee owned model.
A well established MS partner who are experiencing growth through a very strong project pipeline are looking to add a Senior Data & Analytics Consultant to their team.
The Senior Data & Analytics Consultant will play a key role in helping their customers turn data into meaningful insight and measurable impact.
In this role, you will design and deliver robust data and analytics solutions that strengthen data foundations, enable AI-driven initiatives, and support better operational and strategic decision-making.
You will design and deliver data solutions within the Microsoft ecosystem, including Azure Data Services, Microsoft Dataverse, Power BI, and Dynamics 365 integrations.
Main Duties and Responsibilities:
Data Strategy & Advisory
Data Governance & Quality
Data Analytics & Insights
Data Management & Warehousing
ETL & Data Integration
Data Architecture & Engineering
Knowledge and Experience
5+ years’ strong experience in data analytics, engineering, or business intelligence
within a consultancy or technology services environment
Proven expertise in data modelling, warehousing, and relational database design
Experience designing and delivering cloud-based data solutions, particularly within
Microsoft Azure
Knowledge of ETL processes and data integration across multiple systems
Experience integrating Microsoft technologies (e.g., Dynamics 365, Azure Data
Services, Power BI) with third-party platforms
Understanding of data governance, security, and compliance principles
Hands-on experience with SQL and one or more data programming languages
Strong understanding of Microsoft Dataverse data structures and integration patterns
Experience delivering complex data projects in customer environments
Experience working with and understanding public sector data, security and
governance
Technical Abilities
Proficiency in Microsoft Power BI, SQL, and Azure Data Services
Experience with data integration tools, APIs, and middleware
Knowledge of ETL tools such as Azure Data Factory, SSIS, or similar
Experience with data warehouses, data lakes, and modern data platforms
Familiarity with advanced analytics or machine learning concepts
Experience with Microsoft Power Platform for process automation
Understanding of statistical analysis, reporting, and visualisation techniques
This role will be fully remote with the occasional travel to client site.
You must be eligible for SC clearance due to the nature of their clients so you will need to be a UK national who includes a minimum of 5 years consecutive UK residency.
Please reach out to me on (phone number removed) or (url removed) to find out more about the Senior Data & Analytics Consultant position and get your application moving!
DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.