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Spotify is seeking a Staff Data Engineer in the Subscriptions User Understanding domain. You will define the long‑term data strategy, design scalable batch and streaming platforms, and partner with Product, Engineering, Data Science, Analytics and Platform teams to solve complex business challenges. You will lead architectural decisions, governance, and data quality practices while mentoring engineers and driving improvements across the data ecosystem to support one billion users. #J-18808-Ljbffr

The WorkForce Software (WFS) Implementation Services organization is responsible for delivering high-quality, scalable implementations across our global customer portfolio. We partner with customers throughout the implementation lifecycle, ensuring they achieve measurable business value through strong governance, consistent delivery methodologies, and exceptional customer engagement., We are seeking an experienced Integrations Architect to lead the design, governance, and delivery of integration solutions supporting WorkForce Suite implementations. This role is responsible for defining integration architectures, providing technical leadership, and ensuring scalable, secure, and supportable data flows between WorkForce Suite and customer systems. The successful candidate will combine strong technical expertise, solution architecture experience, and customer-facing consulting skills to deliver complex integrations across global implementation programmes. Key Responsibilities Integration Architecture & Solution Design • Design end-to-end integration architectures for WorkForce Suite implementations., • Define integration strategies between WorkForce Suite and customer HR, Payroll, and third‑party systems., • Produce architecture documentation, data flow diagrams, interface specifications, and technical design artefacts., • Ensure integration solutions meet security, scalability, performance, and supportability requirements., • Function as the technical lead for integration workstreams across multiple customer projects., • Provide guidance and oversight to Integration Consultants and technical delivery teams., • Review technical designs and deliverables to ensure quality and consistency., • Support the resolution of complex integration and data‑related issues. delivery risks, issues, and dependencies., • Lead technical discovery workshops and solution design sessions., • Collaborate closely with customer technical teams, architects, vendors, and implementation partners., • Translate business requirements into practical and scalable integration solutions., • Act as a trusted advisor on integration strategy and best practice., • Ensure integration deliverables are completed in accordance with project timelines and quality standards., • Identify and manage integration‑related risks, dependencies, and technical challenges., • Support testing, deployment planning, and production readiness activities., • Support data migration, conversion processes as part of project testing, cutover and go‑live activities., • Promote consistent adoption of integration standards and delivery frameworks., • Develop reusable integration patterns, templates, and technical accelerators., • Contribute to the evolution of implementation methodologies and technical standards., • Stay current with emerging technologies and integration best practices., • Support internal mentoring and knowledge‑sharing initiatives.7+ years of experience designing and delivering enterprise system integrations., • Strong experience with APIs, data transformation, middleware technologies, and system integrations., • Experience integrating Workforce Management, Payroll, HR, HCM, or related enterprise applications., • Strong understanding of REST APIs, SOAP services, JSON, XML, SFTP, SQL and database technologies., • Experience creating technical specifications, integration architectures, and solution design documentation., • Excellent troubleshooting, analytical, and problem‑solving skills., • Effective communication and stakeholder management capabilities., • Experience leading technical workshops and architecture discussions., • The ability to travel when needed to support internal and external initiatives - this would be a maximum of 30% of your work time., • Experience delivering WorkForce Suite integrations., • Experience with Boomi, MuleSoft, Azure Integration Services, Informatica, or similar integration platforms., • Experience integrating with SAP SuccessFactors, Workday, Oracle HCM, ADP, or other HCM and payroll systems., • Bachelor's degree or equivalent professional experience., • Additional language capabilities would be advantageous. Together with ADP, WorkForce Software (WFS) is the first global provider of workforce management solutions with integrated employee experience capabilities. ADP WorkForce Suite adapts to each organization's needs-no matter how unique their pay rules, labour regulations, and schedules-while delivering a breakthrough employee experience at the time and place work happens. Enterprise-grade and future‑ready, ADP WorkForce Software Suite is helping some of the world's most innovative organizations optimize their workforce, protect against compliance risks, and increase employee engagement to unlock new potential for resiliency and optimal performance., A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down‑to‑earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition () ., Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that foster an honest and respectful workplace. Click life-at-adp/ to learn more about ADP's culture and our full set of values. #J-18808-Ljbffr

Love getting stuck into code and solving real-world data problems? Want to work with modern tools in an organisation that values data? Looking for a hands‑on role where you can build, improve, and deliver high‑quality data solutions? We’re supporting a growing international organisation as they scale their internal data capabilities. They’re hiring a Senior Data Engineer to join a team focused on delivering high‑quality, reliable data solutions that power reporting, analytics, and operational insight. This is a hands‑on technical role – ideal for someone who enjoys building pipelines, modelling data, and solving problems in a collaborative environment. You’ll work directly with business users to understand what they need from data and then turn that into clean, scalable engineering work. • Build and maintain robust data pipelines using Microsoft Fabric, • Bring together data from systems like CRM, ERP, HR and more, • Create clean, structured data models that feed dashboards and reporting tools, • Handle ingestion from databases, APIs, and SaaS platforms, • Ensure high data quality and troubleshoot transformation issues, • Work closely with stakeholders to translate business needs into engineering tasks, • Contribute to a culture of good practices and knowledge sharing with peers This is a great role for someone who enjoys doing the work – writing clean code, building useful solutions, and collaborating to make things better. You’ll be someone who enjoys the technical side of data engineering and wants to get your hands into the tools. The ideal candidate will bring: • Strong experience as a Data Engineer in a modern cloud‑based environment, • Proficiency with Microsoft Fabric, SQL, and either Python or PySpark, • Familiarity with working in notebooks and building robust, reusable code, • Experience working with large and complex datasets, • Understanding of data modelling and data quality processes, • A problem‑solving mindset and a collaborative way of working, • The ability to turn real‑world business needs into working data pipelines and models, • Experience working with CRM, ERP, or HR platforms such as Salesforce, Dynamics, SAP, or similar, • Knowledge of Power BI, Power Query, DAX, or Logic Apps, • Familiarity with CI/CD pipelines or DevOps tooling, • Interest in Direct Lake architecture or broader Microsoft ecosystem tools Please Note While we welcome early applications for this position, the interview process may face delays. Our client is currently finalising a key hire who will be involved in the selection for this role. We appreciate your patience and will keep all applicants updated on timelines as they develop. Our client is committed to building an inclusive team and workplace. We encourage applications from all backgrounds, especially if you’re excited by the role and bring relevant skills – even if your experience doesn’t perfectly match every bullet. Apply now through LinkedIn to register your interest and be first in line when interviews begin. #J-18808-Ljbffr

Are you an experienced engineering leader looking for your next challenge? We are seeking a Reliability Engineering Manager to lead strategic reliability projects at our busy biscuit manufacturing site. This is a data-driven, hands-on leadership role focused on long-term plant reliability, maintenance planning, and driving continuous improvement across the engineering function. Location: Abbey Hulton, Staffordshire, GB, ST2 8, Any Uttoxeter Competitive Salary + Package + Full Autonomy + Work life balance Monday - Friday, 8:00am - 5:00pm • Lead and deliver small, strategic projects to improve plant reliability, • Develop and implement maintenance strategies across the site, • Manage a team including Day Technicians and a Maintenance Planner, • Drive the use of data analysis to inform decisions and improve performance, • Embed and champion CI tools and methodologies (TPM, Kaizen, 5S; Six Sigma desirable), • Develop team capability and succession plans, • Foster a culture of reliability, improvement, and operational excellence, • 5+ years' leadership experience in engineering, • Proven track record in maintenance planning and reliability projects, • Strong knowledge of CI / Lean manufacturing principles, • Comfortable using data and analytics to drive decisions, • Qualifications: NVQ Level 3 (Mechanical or Electrical) OR HNC/HND or higher, • IOSH awareness desirable (training provided where needed), • Data-driven and analytical mindset, • Passion for continuous improvement, • High energy, proactive, and able to influence cultural change We are a market leading food manufacturer and we're investing in our people, our plant, and our processes to ensure we're fit for the future. As part of our Engineering leadership team, you'll have the opportunity to shape that journey, bring your ideas to life, and see the impact of your work every single day. If you're passionate about leading teams, driving improvement, and want to play a key role in keeping biscuits on Britain's shelves, this role could be for you. #J-18808-Ljbffr

As a Senior Brand Manager, you will set the global category direction for espresso across Breville, Sunbeam, Oster and Mr. Coffee. You will turn consumer insight, market intelligence and commercial data into a focused category strategy, a compelling innovation pipeline and successful launches across multiple regions. The Espresso Centre of Excellence sets the global category direction, leads the global innovation pipeline and builds shared category capability. It works in partnership with global brand and regional teams, which remain accountable for brand strategy, local commercial plans and in-market activation. You will work closely with regional marketing teams and partners across Consumer Insights, Sales, Finance, R&D and Supply Chain to develop products that are distinctive, relevant and commercially strong. We will help you achieve your goals and develop by providing regular feedback and access to online training courses. • Own the global category strategy, build and maintain a clear point of view on the espresso category, identifying consumer shifts, competitive threats, technology developments and untapped growth opportunities across markets,, • Own the global innovation pipeline, set priorities and governance across initiatives from opportunity identification and concept development through business case approval, product definition and commercial launch,, • Translate category opportunity across the brand portfolio,, • Turn insight into decisive action,, • Enable strong regional execution, act as the primary global category partner for regional and country marketing teams, helping them apply the global category strategy within their brand positioning and market context,, • Drive profitable category growth,, • Lead across functions, brands and geographies,, • Build global espresso capability. Substantial experience in product marketing (learning plans, innovation strategy), • Experience working with a third party or in-house manufacturing,, • A demonstrated ability to lead complex innovation from early opportunity identification through to commercial launch,, • International experience working across multiple brands, markets or regions, with the ability to adapt category opportunities to different brand propositions and consumer audiences,, • The ability to translate consumer insight, market data and financial information into clear strategic recommendations,, • Clear and adaptable communication skills, including the ability to make complex subjects understandable to both specialist and senior leadership audiences., • Experience in consumer goods, durable goods or small domestic appliances,, • Experience or a personal interest in espresso or coffee,, • Strong cross-functional leadership, with the confidence to align different perspectives and create momentum without relying solely on formal authority,, • Familiarity with e-commerce performance data, digital analytics and point-of-sale measurement. Newell Brands has a strong footprint in the EMEA region, with several thousand employees spread over many corporate offices and manufacturing facilities. You might recognise some of our iconic brands, like Parker, Sistema, Spontex, Crockpot, NUK, Coleman , and Yankee Candle, to name a few. • Flexible hybrid working system (on average 3 days in the office and 2 days at home p.w.), • Unlimited access to LinkedIn Learning - 17,000+ courses for your professional and personal development, • Corporate Citizenship Philosophies - environmentally sustainable and socially sensitive business practices, • Bravo - our global recognition programme where teammates can recognise each other and exceptional work is rewarded, • Discounts on some of our products from brands Parker, DYMO, Sharpie, Contigo, and others, • Employee Referral Program - an opportunity to get a bonus, • Global Employee Assistance Program - confidential support for you and your family, complementing our commitment to your well-being at work and beyond, • Give@Newell - paid time-off for charity activities dedicated for local communities right where you live/work, • Access to Employee Resource Groups that foster an inclusive culture, • Core Values: Integrity, Teamwork, Passion for Winning, Ownership, Leadership #J-18808-Ljbffr

2026-10-06T00:00:00 Etruria Staffordshire GB ST1 4 Any 2027-01-04T19:00:52.323 Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long‑term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long‑term subscriber growth and business success. We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on‑call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know — we’re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: #s1-Gen Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long‑term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. What You’ll Do Define and drive the long‑term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well‑designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability. Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem. Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement. Who You Are You enjoy solving broad, cross‑cutting engineering challenges and bringing teams together around a shared technical vision. You have extensive experience designing, building, and operating large‑scale cloud‑native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud‑native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know how to balance immediate business needs with long‑term architectural sustainability. You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone. You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership. You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback. You are motivated by building platforms that directly influence Spotify's long‑term subscriber growth and business success. Where You’ll Be We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on‑call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here #J-18808-Ljbffr

The Abbey is seeking a Reliability Engineering Manager to lead strategic reliability initiatives at its biscuit manufacturing site in the UK. You will drive long-term plant reliability, maintenance planning, and continuous improvement across the engineering function. You will manage a team of technicians and a maintenance planner, embed CI practices, and use data analytics to guide decisions that boost performance. A passion for safety and operational excellence is essential. #J-18808-Ljbffr

Harnham - Data & Analytics Recruitment is seeking a Data Platform Engineer for a Newcastle-based hybrid role. You will help support, improve and scale an enterprise Azure-based data platform. In this hands-on position, you’ll own platform health, deployments, monitoring and incident resolution, wo

Hamilton Barnes is seeking a Technical Consultant - Data & AI to support data, analytics and AI transformation projects. Responsibilities include leading engagements, running workshops, and guiding data strategy, governance, and quality across Microsoft data tech. You will focus on discovery, design

SF Technology Partners seeks a Senior Analytics Engineer to build the analytical foundations behind data products and AI answers. You’ll translate platform data into semantic models and define how customers, products and sales relate, enabling consistent answers across apps and a data agent. Exper

Datatech Analytics in the United Kingdom seeks a Senior Data & BI Engineer to own and deliver analytics platforms for customer operations and marketing teams. You will build production pipelines in Databricks, model data in Delta Lake, and develop Power BI reporting with trusted metrics and DAX meas

The D&A programme will uplift Primark’s Data & Analytical Capabilities through the introduction of a Modern Data Platform, Enhanced Data Governance, Cutting-edge Insight and Analytics, with increased value delivered through AI and simplified reporting. Change Manager, Data & Analytics – 18 Month

Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered analytics platform. Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks). This is an exceptional oppo

Jacobs is seeking a Data Engineer to join its Data & Digital team in the UK. You will design, build and maintain modern data platforms that enable organisations to unlock data value and inform decisions across government, defence and regulated environments. You will work across ETL/ELT pipelines usi

An established financial services business is looking for a Senior Data & BI Engineer with current, hands-on Azure Databricks and Unity Catalog experience, alongside experience delivering analytics for customer operations and/or marketing teams. You'll play a key role in modernising its data platfor

Graphite is seeking a data engineer to analyze our data (10TB) and help answer data-driven questions. You will design, develop and deploy data models, algorithms, and tools to support data analysis and visualization. You will collaborate with software engineers, data scientists, and product managers

Head of Data Infrastructure & Analytics (Fully Remote). Working closely with our Forbes Council Member CEO and cross‑functional teams, you’ll establish the gold standard for analytics operations while enabling data‑driven growth in a competitive global market. Background in analytics engineeri

This role offers the opportunity to generate actionable insights based on user behavior, collaborate with cross-functional teams, and drive innovation in their data science initiatives. The ideal candidate should have strong Python and SQL skills and a passion for solving complex data problems. A le

Join a community that champions women's contributions to data analytics. This hybrid role requires strong customer analytics and advanced analytics skills to optimize customer relationships and drive value. A leading analytical firm is looking for a Head of Existing Customer Analytics to lead their

A leading data science firm in the United Kingdom seeks a skilled Data Scientist to analyze complex datasets and develop innovative solutions. The successful candidate will work with data experts and stakeholders to drive business growth, utilizing skills in Generative AI and traditional AI techniqu

Deep Datawarehouse/lakehouse (AWS Redshift, Databricks), streaming/batch, APIs, data products, ELT, CDC, structured + unstructured data experience. The AVP, Data, Analytics & AI Engineering is the executive leader responsible for the strategic vision, architecture, development, and scaling of our en

You will mentor analysts, shape data maturity, and govern data architecture, reporting, and integration while engaging senior stakeholders to align data initiatives with business goals. Modis International Ltd is seeking an experienced Data & Analytics leader to drive strategy, governance, and progr

Harnham - Data & Analytics Recruitment in the West Midlands is seeking a Senior BI Developer to own the end-to-end BI lifecycle. You will design and maintain scalable Power BI dashboards, develop SQL data models, and leverage Microsoft Fabric to deliver advanced analytics for commercial performance.

A leading IT solutions provider in the United Kingdom is looking for a Mid-Senior Data Engineer to manage and optimize the data integration and analytics platform using Microsoft Fabric. The ideal candidate should have 10–15 years of experience in data engineering and analytics delivery, with a st

Novartis is seeking a Central Monitor to oversee data surveillance across clinical trials, ensuring data quality and timely risk identification. You will work with Data Analysts to interpret signals, drive risk-based monitoring plans, and support study RBM processes in a global, matrix organization.

Analytics Engineer to transform complex data into actionable insights that inform financial inclusion and public benefit initiatives. As deputy to the Senior Data Analyst when required, you will collaborate with stakeholders across the business and explore AI-enabled data solutions. You will develop

You will evangelize analytics, build data scaffolding with engineers, and publish insights that influence pricing, product roadmap, and growth initiatives. You will design experiments, optimize multi-test pipelines, and partner with product and business leadership to turn data into strategy.

SPG Resourcing has a global insurance client seeking a Data Scientist to join a growing analytics team in London Market. You will collaborate with data engineers, analysts, and stakeholders across pricing and underwriting to design scalable data solutions and communicate value to executives. You wil

The role involves conducting audits in technology and operations with a focus on leveraging data analytics techniques.

Lawes Consulting Group is recruiting for a major UK insurer to lead underwriting analytics and data governance, defining standards and governance across underwriting data. You will drive the analytics roadmap, challenge pricing and models, and ensure regulatory compliance.

A leading recruitment agency is seeking a Programme Manager with experience in large scale data migration projects from legacy systems to AWS Data Platform. The ideal candidate should have managed several transformation projects and possess strong knowledge in data analytics within the banking secto

Lovable is seeking a data scientist to build its data and analytics muscle. You’ll combine analytical rigor with the ability to turn complex data into winning product bets, influence strategy, and help Lovable scale its analytics capabilities across the business. You’ll work cross-functionally a

Datatech Analytics in Berkshire is seeking a Data Scientist to build and scale predictive analytics across financial services.

A professional services company is looking for a Senior Power BI Developer & Data Engineer to deliver enterprise-grade analytics and data solutions. The role involves leading the design and optimization of Power BI dashboards, engineering data pipelines using Microsoft Fabric, and ensuring complianc

We're working with a major global organisation looking for a Data Platform Engineer to help support, improve and scale its enterprise data platform. You'll work across Microsoft Fabric, Azure Databricks and the wider Azure ecosystem, taking ownership of platform health, deployments, monitoring, inci

We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. Design scalable data architectures and build dimensional models that transform raw HR data into

As Head of Existing Customer Analytics, you will lead a small but high‑impact team responsible for delivering data‑driven insights that shape how the business serves, retains, and optimises the relationship and value with their customer base. This role is both strategic and hands‑on, blending

Gazelle Global is seeking a Data Product Manager responsible for defining, building, and managing data-driven products that deliver business value. Your responsibilities include defining the vision and strategy for data products, collaborating with various teams, and ensuring data governance and com

Responsibilities include building dbt models, data quality tests, performance optimisations, and creating self-service analytics with clear data dictionaries and. Currys in the United Kingdom is hiring an Analytics Engineer for the AI & Monetisation domain.

Anaplan is seeking an AVP, Data, Analytics & AI Engineering to lead enterprise data platforms and AI solutions. This role shapes strategy, architecture and scale across the company, delivering high-value insights while safeguarding data security and governance. You will manage a cross-functional tea

Primark is seeking a Change Manager for Data & Analytics on an 18-month fixed-term contract in the UK.

Opportunity to influence BI standards, self-service analytics and data-driven decision-making. Experience creating scalable and reusable datasets for reporting and analytics. Build and optimise SQL data models supporting analytics, reporting and forecasting.

MASS is seeking an experienced Lead Data Analyst in Wiltshire for an onsite role leading a specialist team that assesses performance, reliability and effectiveness of complex Defence systems.

Candidates should be familiar with SuccessFactors OData APIs, data harmonisation, and HR metrics. This mid-senior level role focuses on testing skills with SAP Datasphere, requiring expertise in HR processes and a strong understanding of cloud architecture. Ideal applicants will help streamline HR f

You will ensure adherence to GoHenry’s data‑management standards, focus on transaction analytics, oversee the internal fraud‑risk‑management model, transform fraud and AML processes, and provide data insights to board members and external partners. We are looking for an experienced and self�

Reed Technology is seeking a Senior Data & Insights Consultant to drive enterprise Power BI reporting and analytics for a housing client. The role combines data platform development with governance and capability building across BI and analytics teams.

You will model diverse football data and deliver data‑driven insights to stakeholders. The FA is seeking a Research & Development Data Scientist to design and build world‑leading statistical and ML models for England teams.

The role emphasizes data-driven decision-making, A/B testing, and defining product strategies. Candidates should have a strong background in product analytics, proven SQL skills, and experience with BI tools. This position offers a hybrid work model and is ideal for those passionate about empowering