776 to 800 of 1,271 Data Pipeline Jobs in England

join a fast-paced, trend-led fashion business with a strong presence across major UK retail channels. The successful candidate will play a key role in shaping how data drives commercial decision-making across trading, pricing, and supply chain operations. The Trading Analytics Engineer will be responsible for designing, building, and scaling data solutions to support … the business’s commercial and trading functions. The role sits at the intersection of data engineering, analytics, and commercial strategy — ideal for someone who thrives on translating complex data into actionable insights. Key Responsibilities Build and maintain robust data pipelines to support trading, pricing, and product availability decisions Develop and maintain data … impact dashboards and reporting tools Use SQL and Python (or a similar language) to automate processes and improve reporting efficiency Apply commercial thinking to interpret trends and performance data, helping to guide strategic decisions Ensure high standards of data accuracy and consistency across all reporting sources Conduct ad hoc analysis to support trading initiatives and category More ❯

and experience in the institutional market with deep crypto expertise and cutting-edge technology. We stand out in: Compliance and Risk Mitigation Non-custodial Solution Enhanced Reporting and Data Optimised Performance Premier Service About the role As the CTO of Twinstake, you will provide strategic leadership and technical expertise to drive the development and implementation of our staking … infrastructure and related products . You will lead a team of talented engineers and data experts, working closely with cross-functional stakeholders to design, build, and maintain a scalable, secure infrastructure platform and innovative technological solutions. In this role, you will shape and execute Twinstake's technological vision, lead our technology strategy, foster innovation, and ensure the scalability … of infrastructure and product roadmaps, ensuring alignment with Twinstake's business objectives and market needs. Oversee infrastructure security, ensuring regulatory compliance, proactive threat mitigation, and best-in-class data protection. Optimize infrastructure and product platforms for maximum reliability, scalability, and cost efficiency Organizational Leadership Build, lead, and inspire a talented team of engineers and data experts More ❯

CTO) | FinTech SaaS | Remote or London Hybrid | £120,000–£150,000 + Equity Company Overview: We are partnered with an early-stage FinTech SaaS startup leveraging AI and data analytics to power smarter financial decisions. The platform transforms raw financial data into predictive insights for institutions, wealth managers, and private equity firms, enabling faster and more … to build a category-defining SaaS product in the financial intelligence space. Responsibilities: • Define and execute the technology strategy and roadmap • Architect and build the core platform, including data pipelines, APIs, and ML infrastructure • Lead and scale a high-performing engineering and data science team • Implement best practices for security, DevOps, and compliance • Collaborate with product … teams to deliver customer-centric solutions • Represent technology to investors, partners, and enterprise clients Qualifications: • Proven experience building and scaling B2B SaaS products, ideally in FinTech, AI, or data platforms • Strong technical skills across cloud infrastructure, backend architecture, and data analytics • Familiarity with Python, SQL, modern data stacks, and ML workflows • Experience with financial More ❯

CTO) | FinTech SaaS | Remote or London Hybrid | £120,000–£150,000 + Equity Company Overview: We are partnered with an early-stage FinTech SaaS startup leveraging AI and data analytics to power smarter financial decisions. The platform transforms raw financial data into predictive insights for institutions, wealth managers, and private equity firms, enabling faster and more … to build a category-defining SaaS product in the financial intelligence space. Responsibilities: • Define and execute the technology strategy and roadmap • Architect and build the core platform, including data pipelines, APIs, and ML infrastructure • Lead and scale a high-performing engineering and data science team • Implement best practices for security, DevOps, and compliance • Collaborate with product … teams to deliver customer-centric solutions • Represent technology to investors, partners, and enterprise clients Qualifications: • Proven experience building and scaling B2B SaaS products, ideally in FinTech, AI, or data platforms • Strong technical skills across cloud infrastructure, backend architecture, and data analytics • Familiarity with Python, SQL, modern data stacks, and ML workflows • Experience with financial More ❯

are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists, and data engineers in prototyping and productizing state-of-the-art ML models that allow us to find the right audience for content that is strategically important, such as fresh or … to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Help drive optimization, testing, and tooling to improve quality of our recommendations Perform data analysis to establish baselines and inform product decisions Collaborate with a cross functional agile team spanning tech research, data science, product management, and engineering to build new … to-date on the latest machine learning algorithms and techniques Who You Are You have professional experience in applied machine learning Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS) You have some hands-on experience implementing or prototyping machine learning More ❯

effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. And our Physical Sciences effort is developing a novel AI and data-driven approach to materials discovery and development to accelerate the transition to a sustainable economy. At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the … below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with … to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language model training Collaborate with researchers to implement novel data processing pipelines Develop an easy-to-use, secure, and robust developer experience for More ❯

Engineer - London (Hybrid) - Up to £90k A well funded start up who are revolutionising real estate transactions through cutting-edge technology combining sophisticated AI capabilities with robust financial data systems are looking for a Senior Full Stack Engineer to join their team. What will I be doing: Design, develop, test, deploy, and maintain robust and scalable backend systems … architecture, ensuring scalability, reliability, and security Collaborate closely with product managers, designers, AI engineers, and other stakeholders to translate requirements into technical solutions Integrate various platform components, including data pipelines and AI-driven features Mentor junior engineers and contribute to improving our engineering practices and processes Own significant features from conception through deployment and iteration Ensure quality and … professional full-stack software development Strong proficiency in Python for backend development Experience with modern frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker) Bonus: Experience with financial concepts, real estate data, or startup More ❯

Engineer - London (Hybrid) - Up to £90k A well funded start up who are revolutionising real estate transactions through cutting-edge technology combining sophisticated AI capabilities with robust financial data systems are looking for a Senior Full Stack Engineer to join their team. What will I be doing: Design, develop, test, deploy, and maintain robust and scalable backend systems … architecture, ensuring scalability, reliability, and security Collaborate closely with product managers, designers, AI engineers, and other stakeholders to translate requirements into technical solutions Integrate various platform components, including data pipelines and AI-driven features Mentor junior engineers and contribute to improving our engineering practices and processes Own significant features from conception through deployment and iteration Ensure quality and … professional full-stack software development Strong proficiency in Python for backend development Experience with modern frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker) Bonus: Experience with financial concepts, real estate data, or startup More ❯

the Central Execution Desk, directly contributing to scale up Tower's Mid-Frequency Trading capabilities. Design, implement, and maintain high-performance services in Rust and Python for market-data ingestion, ML pipelines, and post-trade analytics Translate research prototypes into production-ready code, adding testing, monitoring, and CI/CD automation Optimise existing code for throughput, memory footprint … and reliability on distributed systems Collaborate closely with quantitative researchers to iterate on data pipelines, simulation frameworks, and performance diagnostics Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, or a related STEM field 2-5 years of professional software-engineering experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C … Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and CI/CD workflows Familiarity with SQL and at More ❯

Technical Manager Location : Uxbridge (Hybrid) Full-time | Permanent Our client, a global leader in the FMCG industry, is on a mission to elevate their commercial performance through smarter data systems, seamless insights, and scalable reporting tools. They’re looking for a Commercial Analytics & Systems Technical Manager to take charge of designing and developing modern analytics infrastructure — the backbone … for business intelligence across multiple international markets. What You'll Do Connect and integrate multiple data sources (e.g. SAP, APIs) into clean, scalable databases Build, manage, and maintain robust systems using tools like Microsoft Fabric Develop Power BI dashboards and automations that deliver clear, actionable insights Proactively detect and prevent data quality issues Ensure governance, security … functional and international teams to drive adoption and continuous improvement What You Bring Deep hands-on experience in Power BI , SQL, and database design Understanding of Microsoft Fabric , data pipelines, and source system connections Familiarity with SAP (even at a basic level) is a plus Ability to translate complex business requirements into scalable data solutions Strong More ❯

Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and integrity. Requirements : Bachelor’s or Master’s degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.5–3 years of More ❯

Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and integrity. Requirements : Bachelor’s or Master’s degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.5–3 years of More ❯

be part of the team that defines how Amazon changes the world of international logistics, one shipment at a time. Key job responsibilities - Design, development and maintenance of data pipelines, tables, reports and dashboards. - Development of moderately to highly complexity data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.). - Collaborating with … stakeholders to understand business domains, requirements, and expectations. - Resolve data issues - Deliver moderately complex data analyses to facilitate business & technical decision making, collaborating with other tech teams (e.g. Data Engineering) as needed. - Actively manage the turnaround time and deliverables of projects, anticipate risks and resolve issues. - Adopt best practices in reporting and analysis: data … documentation. BASIC QUALIFICATIONS - Experience in tax, finance or a related analytical field - Experience writing complex Excel VBA macros - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL PREFERRED QUALIFICATIONS - Experience working with Tableau - Experience using very large datasets Amazon is an equal opportunities employer. We More ❯

Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead to join a team of Data Scientists, Analytics Leads, Business … Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data … and projects and be ready to jump into a fast-paced, dynamic and fun environment. Key job responsibilities - Working with product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions. - Partnering with our Data Engineering team to enhance data infrastructure, data availability, and More ❯

with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large-scale projects. What you'll bring to the role Strong grounding in ML … cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such as SQL Server, NoSQL, etc. Experience with ETL processes, data pipelines, and DevOps practices This role is hybrid, requiring occasional presence in one of their UK offices in Scotland or England to maintain company culture through social meetups. You More ❯

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to … become truly data-driven. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a talented French speaking Lead Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand … our Enterprise customers' complex business needs and showcase how Fivetran's data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle This is a full time position based in Dublin, Paris or London. Ourhybridwork model More ❯

join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data is accessible, accurate, and insightful- helping Zegons understand performance, identify opportunities … and improve outcomes. You'll play a key role in building and maintaining dashboards, creating reports, and supporting ad hoc analysis. You'll work closely with other analysts, data engineers, and business stakeholders to make sure the right data is getting into the hands of the people who need it, in a format they can act … aligned with stakeholder needs. Ad-hoc Analysis : Support the business with analysis to answer specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and More ❯

join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data is accessible, accurate, and insightful- helping Zegons understand performance, identify opportunities … and improve outcomes. You'll play a key role in building and maintaining dashboards, creating reports, and supporting ad hoc analysis. You'll work closely with other analysts, data engineers, and business stakeholders to make sure the right data is getting into the hands of the people who need it, in a format they can act … aligned with stakeholder needs. Ad-hoc Analysis : Support the business with analysis to answer specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and More ❯

and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing … data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment. Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information. Practise Building Work closely with business teams and clients to demonstrate the potential of AI and assess its … feasibility for solving business challenges. Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients. Data Governance & Security Ensure compliance with KPMG’s data governance policies and industry regulations regarding AI models and data processing. Implement best practices in data privacy, security, and ethical AI, particularly More ❯

change or withdraw your consent from the Cookie Declaration on our website. Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy. Please state your consent ID and date when you contact us regarding your consent. Your consent applies to the following domains: Your current state: Do … change or withdraw your consent from the Cookie Declaration on our website. Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy. Please state your consent ID and date when you contact us regarding your consent. Do not sell or share my personal information Location: Liverpool (Hybrid … leading performance marketing and lead generation business working across the automotive sector. The business partners with multiple global automotive brands to deliver high-quality customer leads through advanced data integrations, machine learning models, and digital innovation. With a unique blend of B2B platform development and consumer-facing product work, this is a fast-paced SME environment offering real More ❯

function for Platform and Revenue Accounting. You're accountable for ensuring the delivery of global revenue streams, payment service provider accounting flows, and inventory accounting, driven by robust data integrity and efficient reconciliations. You'll champion innovations and continuous improvement initiatives for the R2R Global Process Owner, focusing on leveraging data and BI tools to streamline … the month-end close. It's your responsibility to ensure processes are optimized, standardized, and that insights derived from our financial data are high-quality. You'll also foster talent development within our expert team managing accounting activities from Amsterdam/London HQ and beyond. These are some of the key ingredients to the role: Strategic Process Ownership … Data Quality: Own and safeguard the end-to-end accounting process for all global revenue streams and platform transactions. This includes ensuring accurate, complete, and high-quality revenue information is produced monthly across all regions, proactively identifying and addressing errors and deviations to secure data integrity. Complex Reconciliation & Cash Flow Oversight: Design, implement, and oversee efficient More ❯

reoccurring governance, validation and audit exercises of existing solutions. You will work closely with global measurement team, external agency partners and service providers to develop, standardize and optimize data pipelines and operational parameters that can be applied consistently across 12+ European countries while capturing local nuances. You will collaborate with our tech & tools team on the development of … functions and locations, and have demonstrable experience in stakeholder engagement. We are looking for someone who is highly organized and comfortable working in a fast-moving, dynamic and data driven environment. This role is based at our Amazon corporate office in London/UK or Munich/DE. Key job responsibilities Automate: Identify opportunities to standardize, off-shore … media budget management and business insights. Partner with our external media agency, internal and external measurement partners across Europe and US central team, aligning measurement project and supporting data collection, acquisition and validation. BASIC QUALIFICATIONS 6+ years relevant professional experience in media planning, media finance or media buying. Have experience in media research, insights or data More ❯

governance, validation and audit exercises of existing solutions. You will work closely with the global measurement team, external agency partners and service providers to develop, standardize and optimize data pipelines and operational parameters that can be applied consistently across 12+ European countries while capturing local nuances. You will collaborate with our tech & tools team on the development of … functions and locations, and have demonstrable experience in stakeholder engagement. We are looking for someone who is highly organized and comfortable working in a fast-moving, dynamic and data-driven environment. This role is based at our Amazon corporate office in London/UK or Munich/DE. Key job responsibilities Automate: Identify opportunities to standardize, off-shore … media budget management and business insights. Partner with our external media agency, internal and external measurement partners across Europe and US central team, aligning measurement project and supporting data collection, acquisition and validation. BASIC QUALIFICATIONS 6+ years relevant professional experience in media planning, media finance or media buying. Have experience in media research, insights or data More ❯

opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with … software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting … in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with Machine Learning and statistical inference. Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation Ability to communicate model objectives and performance to business stakeholders Strong analytical and problem-solving skills More ❯

to join our dynamic team. This role reports to the Analytics Director, Adobe.pub EMEA. The ideal candidate will possess strong analytical and communication skills and have experience analysing data to answer critical business questions. They will design and implement effective data visualizations and reports, while collaborating closely with cross-functional teams. Responsibilities Strategic Leadership: Partner with … incremental reach, visits, and revenue Develop roadmaps for these workstreams, ensuring their successful execution Supervise the planning, management, and execution of analyses to support campaign strategy and planning Data Transformation: Design data architecture and ETL processes for efficiently processing large volumes of data periodically Oversee the building and maintenance of data pipelines … to ingest data from diverse sources Design and implement data quality checks and validation procedures to maintain data accuracy and integrity Collaborate with data engineers and architects to optimize data infrastructure and improve data accessibility Ensure data is transformed to meet specific requirements and connected to More ❯