776 to 800 of 1,015 Data Engineering Jobs in England

My client is a powerhouse in Fintech international design, & is seeking a Platform Engineer to build and maintain highly available cloud data applications. You'll collaborate with DevOps and Engineering to integrate these applications within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring … platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform … deployment/management using IaC (Terraform, CloudFormation). Implement IaC best practices and use Azure CI/CD for automated deployments. Partner with the data management team and stakeholders to align platform capabilities with requirements. Establish controls and monitoring for system uptime and proactive operational maintenance. Plan and manage More ❯

My client is a powerhouse in Fintech international design, & is seeking a Platform Engineer to build and maintain highly available cloud data applications. You'll collaborate with DevOps and Engineering to integrate these applications within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring … platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform … deployment/management using IaC (Terraform, CloudFormation). Implement IaC best practices and use Azure CI/CD for automated deployments. Partner with the data management team and stakeholders to align platform capabilities with requirements. Establish controls and monitoring for system uptime and proactive operational maintenance. Plan and manage More ❯

Modelling & Storage Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation Docker, Kubernetes, Terraform, CI/CD pipelines for data flows. Architectural Competencies Data Modelling: Designing dimensional, relational, and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL … Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯

Contract Opportunity: Senior AWS Machine Learning Data Engineer Location: London | Duration: 6 Months (Extension Possible) | Start Date: ASAP Rate: Up to £600 a day (Inisde IR35) Are you a cloud-native data engineer with a passion for building intelligent systems? I'm looking for a Senior AWS Machine … Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines and ML infrastructure on AWS. You'll collaborate with data scientists … systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate More ❯

Design and implement complex data pipelines and architectures. Utilising dbt and Prefect to automate and run your data pipelines. Collaborate with cross-functional teams to align data engineering efforts. Engaging with clients to identify available data and help them achieve business goals. Key Candidate Requirements … Knowledge Advanced proficiency in programming languages and frameworks used in data engineering. Expertise in optimising and scaling data infrastructure. Strong understanding of data modelling, schema design, and database optimisation. Skills Experience with data orchestration tools and workflow management. Excellent written and verbal communication skills and an … partnership with customers, Cortex was launched in 2024 to better serve the digitally diverse sports industry as a quick-to-deploy SaaS platform for data and revenue driven sports marketing. Cortex products are used by multiple top tier sports organisations and clubs including; Arsenal FC, Formula 1, ECB, the More ❯

and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Design and build scalable, low-latency microservices and event-driven data pipelines to support high-throughput trading systems. Champion data engineering best practices including schema evolution, data contracts, and data quality … across event streams. Collaborate with cross-functional teams to model, publish, and maintain high-quality data products aligned with enterprise standards. Implement CI/CD pipelines, automated testing, infrastructure-as-code, and monitoring solutions to ensure operational excellence. Lead end-to-end software development efforts-from gathering requirements to … deployment and production support. Contribute to engineering excellence through mentoring, code reviews, and driving best practices. Own and operate critical trading systems, ensuring reliability, performance, and alignment with business needs. WHAT YOU'LL BRING: 8+ years of software engineering experience, with strong proficiency in Java or similar languages More ❯

Senior Analytics Engineer We are looking for a Senior Analytics Engineer to join our Data Engineering team which sits under Tech and Data. We're looking for a Senior Analytics Engineer to join our team and help shape the data foundations for high growth areas of Funding … Circle. We have opportunities across multiple teams, each tackling unique challenges and building high impact data models to power critical reporting and self-serve analytics. This is a unique opportunity to help build a top tier Analytics Engineering function, with the full backing of the business. We're … to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes More ❯

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Principal Data Engineer. You will join an innovative technology company at the forefront of their industry. As a Principal Data Engineer, you'll be part of a dynamic team dedicated to … pushing the boundaries of technology and continually improving their platform. Role Overview: Seeking a talented & experienced data engineer to help continue develop, shape, and innovate the data foundations across the business, which will positively impact the customer’s experience. As a principal in the team, you’ll be … instrumental in the development of more junior colleagues. Responsibilities: - Design, develop and continually improve the data platform. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate data architecture and pipelines across the business in an agile environment. - Present and discuss data pipelines More ❯

Data Engineer – Databricks About the Role We’re looking for a Databricks Champion to design, build, and optimize data pipelines using Databricks. You’ll work with clients and internal teams to deliver scalable, efficient data solutions tailored to business needs. Key Responsibilities Develop ETL/ELT pipelines … with Databricks and Delta Lake Integrate and process data from diverse sources Collaborate with data scientists, architects, and analysts Optimize performance and manage Databricks clusters Build cloud-native solutions (Azure preferred, AWS/GCP also welcome) Implement data governance and quality best practices Automate workflows and maintain … CI/CD pipelines Document architecture and processes What We’re Looking For Required: 5+ years in data engineering with hands-on Databricks experience Proficient in Databricks, Delta Lake, Spark, Python, SQL Cloud experience (Azure preferred, AWS/GCP a plus) Strong problem-solving and communication skills Databricks More ❯

Knowledge Graph Engineer & Semantic Architect, Central Reliability Maintenance Engineering At Amazon we believe that Every Day is still Day One! We're working to be the most customer-centric company on earth. Are you passionate about pushing the boundaries of semantic technologies and knowledge graphs? Do you want to … shape the future of data-driven decision-making at one of the world's most innovative companies? Amazon's Central Reliability Maintenance Engineering team (C-RME) is seeking a Senior Knowledge Graph Engineer & Semantic Architect to lead our next-generation information architecture (IA) initiatives. Key job responsibilities In … programs involving multiple AI technologies. As a Senior Knowledge Graph Engineer, you will: - Contribute to the the evolution of our knowledge graph and semantic data engineering capabilities, driving innovation in our graph-based architectures for initiatives and beyond; - Collaborate with business stakeholders to translate business requirements into graph More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision … making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions … models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with More ❯

Principal Consultant - Offering Leads - £80-100k I am interested in speaking with data and AI consultants for my consulting client. Data Visualisation & Analytics Data Science Data Engineering Key Responsibilities: Business Development: Drive revenue growth, lead sales efforts, and develop new business opportunities. Solution Delivery More ❯

Principal Consultant - Offering Leads - £80-100k I am interested in speaking with data and AI consultants for my consulting client. Data Visualisation & Analytics Data Science Data Engineering Key Responsibilities: Business Development: Drive revenue growth, lead sales efforts, and develop new business opportunities. Solution Delivery More ❯

Data Scientist - Marketing/Customer Analytics London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a … strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. … models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with More ❯

learn quickly and adapt to a fast-paced environment. Primary responsibilities include defining problems, building analytical frameworks to streamline operations, identifying process gaps through data analysis, liaising with relevant teams to address issues, and sharing updates with internal stakeholders. Key job responsibilities Apply multi-domain/process expertise in … throughout execution. Define analytical approaches; review and validate these approaches with stakeholders. Work proactively with stakeholders to construct use cases and standardized outputs. Scale data processes and reports; develop queries that clients can update independently; collaborate with data engineering for automation. Maintain working knowledge of available data for complex or comparative analyses. Work with various data sources and develop efficient queries to minimize post-processing. Triangulate data from multiple sources to ensure data fidelity when necessary. Manage project timelines and deliverables, focusing on team interactions. Provide program updates to stakeholders. Communicate roadblocks and More ❯

FinOps to drive business intelligence and cloud cost optimisation across our organisation. This role will play a key part in designing, developing, and delivering data-driven solutions that enable smarter financial and operational decision-making. Working closely with stakeholders across Operations, Finance, Delivery and Leadership teams, you will translate … and deploy tailored Power BI dashboards and automated reports, covering areas such as cloud expenditure, budgeting, forecasting, and operational performance. Build and maintain robust data models, DAX measures, and transformations to support reliable and efficient reporting. Provide regular insights and recommendations to support data-driven decision-making across … the organisation. Collaborate with data engineering teams to ensure seamless data integration and high-quality data pipelines. Apply AI and machine learning models to surface predictive insights, detect anomalies, and identify optimisation opportunities within financial and operational datasets. Required Skills and Experience: Minimum of 3 years More ❯

FinOps to drive business intelligence and cloud cost optimisation across our organisation. This role will play a key part in designing, developing, and delivering data-driven solutions that enable smarter financial and operational decision-making. Working closely with stakeholders across Operations, Finance, Delivery and Leadership teams, you will translate … and deploy tailored Power BI dashboards and automated reports, covering areas such as cloud expenditure, budgeting, forecasting, and operational performance. Build and maintain robust data models, DAX measures, and transformations to support reliable and efficient reporting. Provide regular insights and recommendations to support data-driven decision-making across … the organisation. Collaborate with data engineering teams to ensure seamless data integration and high-quality data pipelines. Apply AI and machine learning models to surface predictive insights, detect anomalies, and identify optimisation opportunities within financial and operational datasets. Required Skills and Experience: Minimum of 3 years More ❯

with the UK. We encourage you to contact us to explore these options further. At SquaredUp, our mission is to inform, enlighten, and empower engineering teams with data so they can deliver awesome digital experiences to their customers. We're a passionate team who thrive in a fast … believe in fostering a collaborative and supportive culture where everyone has the opportunity to grow and make a significant impact. Join SquaredUp: As a Data & Automation Engineer, you'll build and maintain our core data platform, connecting SaaS products, internal systems, and data warehouses. Working with a … diverse team, you'll leverage no/low/all-code serverless tech to transform raw data into actionable insights, driving business decisions through efficient automation. What We're Looking For: Strong software & data engineering skills. Experience with cloud-native serverless tech. Ability to translate business needs More ❯

month PAYE contract. Responsibilities: Supporting Analytics and Integration Program: Collaborate with cross- functional teams to maintain and enhance our application footprint, and the modern data platform, leveraging your expertise in Power Platform, data integration and automation techniques. Stay up to date with innovation: Understand best practice of data engineering and its application, and stay up-to-date with emerging technologies in the low- code application development and automation space Analyse, Model and Organise Workflows: Work with a range of stakeholders and business users to understand their workflows and patterns, with a view to designing and delivering … automation which delivers the highest value for money Ensure quality and reliability: Drive improvements in application quality, understanding how users interact with applications and data, and ensure that downstream workflows are processed effectively, efficiently, robustly and timely. Implementing data validation, processing, management, and controls where necessary, to ensure More ❯

Senior Data Consultant (Power BI) Application Deadline: 6 May 2025 Department: Delivery Employment Type: Full Time Location: Bristol, UK Compensation: £70,000 - £90,000/year Description We're looking for an experienced Senior Data Consultant to work as a Power BI Lead and take ownership of an … enterprise-wide reporting suite, built on Microsoft Power BI and underpinned by a modern Databricks data platform. In this role, you'll blend deep technical knowledge with stakeholder engagement, team leadership, and strategic thinking. You'll design and deliver scalable, secure, and insightful reporting solutions that drive real business … value while helping shape the future of enterprise reporting in a cloud-first data landscape. This is an exciting opportunity to work in a collaborative environment where innovation, quality, and impact come first. What you'll be doing Leading the design and implementation of an enterprise Power BI reporting More ❯

Leading Financial Services client is currently going through a large Data transformation and is looking for Data Solution Manager to join them on this exciting journey. The roles are offering a base between £80,0000 to £85,000pa + a strong benefits package and flexible working. One day … in office in every 3 months in East Sussex As a Data Solution Manager you will report to our Head of Data Delivery and lead a small team of some of the best engineers in the industry to deliver, improve and maintain robust data pipelines within our … ambitious data architecture. Requirements: You will have a strong background in data engineering, with experience in managing and mentoring other engineers. You should have significant experience with Snowflake and Microsoft Azure, particularly Azure Data Factory and Azure Dev Ops. You will be a strong communicator and More ❯

Senior Data Engineer Salary: £60,000 - £75,000 Type: Full time - 2-year Fixed-Term Contract Location: Near Epsom, Surrey (Accessible by car) Work Style: Hybrid (3 days in the office) Benefits: Competitive package, including a performance-related bonus, pension plan, access to a car scheme, birthday voucher, cycle … TLP (seconded to Toyota (GB) PLC). Role: Azure Cloud Software Engineer (Cross-functional Team). They are looking for someone who is 80% data Engineering focussed with 20% Software experience in C#, .Net (or willing to learn the software) Main Duties: Work with stakeholders to gather and … assurance Participate in code reviews Develop CI/CD pipelines using DevOps practices Monitor and support cloud services Essential Tech Skills: Cloud: Microsoft Azure Data Tools: Databricks, Data Factory, Dataflow, Azure SQL, Synapse Languages: SQL, Python Nice to Have: MARTech: MS Dynamics 365, SFMC, Informatica MDM, One Trust More ❯

IR35 Location: Knutsford Cheshire Duration: 6 months + JD -Professional & Technical Skills: - Required Skill: Expert proficiency in PySpark, Hadoop, Python, Git - Strong understanding of data engineering concepts and ETL processes, Data warehousing, Data Pipeline, SQL - Additional Good To Have Skills: AWS Glue, Knowledge of implementing ETL … and data pipelines in AWS -5+ years of experience Please send in your latest CV LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending More ❯

Data Idols are working with one of the largest entertainment organisations growing rapidly within their global operations. With innovation, creativity, and data at the company's heart, they are looking for a Data Warehouse Architect to join the team. The Opportunity As a Data Warehouse Architect … you will be responsible for improvements and changes within the data warehouse. This role will sit within the Data Engineering department and you'll have the opportunity to design the data warehouse and work closely with other departments to ensure requirements are met. Skills and Experience … Experience using GCP Experience working with Big Query Ability to write SQL queries Knowledge of Kimball methodology Experience of data warehouse implementation If you are looking for a new challenge, then please submit your CV for initial screening and more details. More ❯

when you meerkat. We'd love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning. You will identify the tech requirements … role. Some of the great things you'll be doing: Develop, maintain, monitor (health & performance), and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform, and Architecture teams to improve and develop new products, integrations, tools, and technologies. Work with data scientists to productionise various … ML models, ensuring the code follows best practices; is effective, scalable, and conforms to CTMs Engineering & Tech standards. Follow best practices for the management and interrogation of large scale 'structured' and 'unstructured' datasets (million+ rows with thousand+ features, policy documents, etc). Enable the collection of new data More ❯