326 to 350 of 497 Remote Data Engineering Jobs

DATA ANALYST - LONDON (HYBRID) A growing fintech is seeking a Data Analyst to bridge business needs with technical solutions. You'll work with Commercial, Finance, Risk, and Operations teams, building reports in Tableau/QuickSight while picking up light data engineering tasks. The Role: Partner with stakeholders to understand reporting requirements Design data sourcing strategies … Build dashboards and train users for self-service analytics Explore AI solutions to improve operational efficiency 2-3 days per week in London office for collaboration Essential Skills: Strong data analysis and SQL experience Data modelling knowledge with business application Clear communication with non-technical stakeholders Self-starter comfortable with ambiguous challenges Agile environment experience Desirable: AWS ecosystem … exposure DataOps/CI-CD experience Fintech or banking background This isn't just report generation - you'll help shape how a fast-growing company uses data strategically. They're at the point where analytics is becoming central to decision-making, making this an ideal time to join and influence their data maturity. Perfect for someone who enjoys More ❯

DATA ANALYST - LONDON (HYBRID) - SQL, AWS, £60k A growing fintech is seeking a Data Analyst to bridge business needs with technical solutions. You'll work with Commercial, Finance, Risk, and Operations teams, building reports in Tableau/QuickSight while picking up light data engineering tasks. The Role: Partner with stakeholders to understand reporting requirements Design data … Build dashboards and train users for self-service analytics Explore AI solutions to improve operational efficiency 2-3 days per week in London office for collaboration Essential Skills: Strong data analysis and SQL experience Data modelling knowledge with business application Clear communication with non-technical stakeholders Self-starter comfortable with ambiguous challenges Agile environment experience Desirable: AWS ecosystem … exposure DataOps/CI-CD experience Fintech or banking background This isn't just report generation - you'll help shape how a fast-growing company uses data strategically. They're at the point where analytics is becoming central to decision-making, making this an ideal time to join and influence their data maturity. Perfect for someone who enjoys More ❯

Director of Software Engineering – AI Native Start-up UK - Remote £150,000 - £180,000 + Meaningful Equity The Business My client is a fast-growing AI-native startup focused on building scalable agent-based systems and LLM-powered applications for enterprise customers. Backed by strong VC funding and already working with enterprise organisations, they’re now looking for a … Director of Software Engineering to help scale their engineering function in the UK as they move from early traction to broader market adoption. The Opportunity: This is a hands-on leadership role where you’ll guide the engineering team in building production-ready AI systems—balancing speed, reliability, and scalability. You’ll work closely with research teams … to deploy language models into production, shape technical architecture across cloud infrastructure and application layers, and lead on engineering hiring and culture as the team grows. Responsibilities: Lead the design and development of interactive, scalable agent-based systems and web applications using modern languages like Python and TypeScript. Oversee the build and maintenance of server-side APIs and orchestration More ❯

Director of Software Engineering – AI Native Start-up UK - Remote £150,000 - £180,000 + Meaningful Equity The Business My client is a fast-growing AI-native startup focused on building scalable agent-based systems and LLM-powered applications for enterprise customers. Backed by strong VC funding and already working with enterprise organisations, they’re now looking for a … Director of Software Engineering to help scale their engineering function in the UK as they move from early traction to broader market adoption. The Opportunity: This is a hands-on leadership role where you’ll guide the engineering team in building production-ready AI systems—balancing speed, reliability, and scalability. You’ll work closely with research teams … to deploy language models into production, shape technical architecture across cloud infrastructure and application layers, and lead on engineering hiring and culture as the team grows. Responsibilities: Lead the design and development of interactive, scalable agent-based systems and web applications using modern languages like Python and TypeScript. Oversee the build and maintenance of server-side APIs and orchestration More ❯

Job Description Data Technical Specialist - Submarines Full Time Derby, Raynesway We are seeking a talented and highly motivated Senior Data Engineering specialist to join our Central Digital team. As a Data Technical Specialist, you will be recognised as an authoritative source of technical expertise and advice within the business for Data and viewed as a … key member of the broader team of technical expertise by senior leadership. You will be responsible for defining data management policies and procedures that ensure that data is properly collected, stored, maintained, and utilised, in line with the business strategy. This incorporates defining and managing data governance, quality, and retention policies. You will be responsible for designing … building and maintaining data pipelines and architecture that empowers data-driven decisions across the organisation. You will work closely with the cross-functional teams, including data engineers, data scientist, product teams to ensure data is seamlessly integrated, transformed and accessible for analytical and operational purpose. You will have depth and/or breadth of knowledge More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business … using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take … ownership of projects, and drive best-practice. This is a unique opportunity for an experienced Data Engineer to join a brand-new function of a well-established business - combining a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business … using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take … ownership of projects, and drive best-practice. This is a unique opportunity for an experienced Data Engineer to join a brand-new function of a well-established business - combining a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business … using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take … ownership of projects, and drive best-practice. This is a unique opportunity for an experienced Data Engineer to join a brand-new function of a well-established business - combining a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business … using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take … ownership of projects, and drive best-practice. This is a unique opportunity for an experienced Data Engineer to join a brand-new function of a well-established business - combining a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake More ❯

We are seeking an enthusiastic Data Analyst to join our growing IT Applications team! You will be part of the Data and Reporting team, helping to set and drive standards for data analysis in IT Applications. This is a project-focused role, supporting Data Engineering activities. Experience with data migration and complex data … initial training. You should be located near our Claverton Down, Bath office to collaborate effectively with stakeholders and project teams. What you'll do Provide documentation for database development, data migration, and integration processes. Understand complex data structures, identify issues, and suggest solutions. Contribute to expanding our cloud data storage and analytics platform. Specify and document data migrations and integrations. Lead data mapping activities between systems. Perform gap analysis. Interpret data models with the data architect to produce data mappings. Support data migration throughout project lifecycle with DBAs, BAs, Data Developers, and the Program team. Document work according to standards for review and approval. Identify risks and issues, with mitigation More ❯

West, Various Position ID: J0725-0065 Employment Type: Full Time CGI UK Careers – Your mission found here By playing this video you consent to Google/YouTube processing your data and using cookies – Learn more. Position Description: The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically … an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go. We are seeking an experienced and innovative Data Engineer to lead the design and development of a greenfield microservices-based cloud solution using cutting-edge technologies. This role will involve hands-on Data engineering and … microservices architecture, and message-driven principles, with a focus on open-source technologies. Your future duties and responsibilities: • Integrate with the clients Analytics Platform services in AWS. • Lead the data development of scalable, distributed systems using Apache Kafka (Confluent), Tableau, and the ELK stack. • Security Best Practices: Understanding of secure by design principles, including OAuth2.0, OIDC, IAM. • Implement and More ❯

Data Scientist 6 Month contract initially Based: Remote/Milton Keynes - Hybrid. Max 3 days p/w onsite. Rate: £400 - £450 p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really … make a difference. We a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data … decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity More ❯

such as AWS, Azure and Snowflake for scalable deployment. Key Responsibilities: Develop and optimise quantitative models and analytical tools in Python Leverage statistical g packages (e.g., pandas, NumPy) for data analysis and modelling Work closely with portfolio managers, researchers, and technology teams to deploy robust, scalable solutions Design and implement data pipelines and workflows utilising AWS or Azure … programming for quantitative or analytical applications Strong proficiency with relevant statistical librariesPyth Practical experience utilising AWS and/or Azure for deployment and workflow orchestration Solid understanding of financial data and modelling techniques (preferred) Excellent analytical, communication, and problem-solving skills Experience with data engineering & ETL tools such as Apache Airflow or custom ETL scripts. Strong problem … solving skills with a keen analytical mindset especially in handling large data sets and complex data transformations. Strong experience in setting up an underlying test framework for complex data calculations and processing. Strong familiarity with engineering and data architecture principles. Prior experience in a front office or financial services environment (desirable More ❯

such as AWS, Azure and Snowflake for scalable deployment. Key Responsibilities: Develop and optimise quantitative models and analytical tools in Python Leverage statistical g packages (e.g., pandas, NumPy) for data analysis and modelling Work closely with portfolio managers, researchers, and technology teams to deploy robust, scalable solutions Design and implement data pipelines and workflows utilising AWS or Azure … programming for quantitative or analytical applications Strong proficiency with relevant statistical librariesPyth Practical experience utilising AWS and/or Azure for deployment and workflow orchestration Solid understanding of financial data and modelling techniques (preferred) Excellent analytical, communication, and problem-solving skills Experience with data engineering & ETL tools such as Apache Airflow or custom ETL scripts. Strong problem … solving skills with a keen analytical mindset especially in handling large data sets and complex data transformations. Strong experience in setting up an underlying test framework for complex data calculations and processing. Strong familiarity with engineering and data architecture principles. Prior experience in a front office or financial services environment (desirable More ❯

Job Title Senior Causal Inference Data Scientist Logistics Contract length : 3 months (immediate start) Day rate : £500-£550 (Outside IR35) Location : Hybrid-2 days/week in London office Interview process : 2-3 stages (including case study & stakeholder presentation) Client Context You'll help blue-chip clients optimise multi-million-pound marketing budgets by blending cutting-edge causal-inference … ROI Build predictive and optimisation models to guide budget allocation across channels Translate complex statistical findings into concise presentations and dashboards for senior non-technical stakeholders Partner with marketing, data engineering and product teams to integrate models into live reporting pipelines Must-Haves Master's degree in Statistics, Econometrics, Data Science or related quantitative field Hands-on … statistical theory Excellent verbal and written communication-comfortable presenting to C-suite Demonstrable stakeholder engagement (beyond backend coding) Right to work in the UK Desirable 3+ years' experience in data-driven marketing, analytics consultancy or similar Familiarity with quasi-experimental designs and A/B testing frameworks Background in software design, data structures or production-grade ML engineering More ❯

About the roleAs a Senior Analytics Engineer, you will oversee the data architecture for our UK loans business - Lendable's original and most established product line. This role is central to maintaining and evolving the data foundations that support one of our most mature and commercially significant offerings. You will take ownership of the data models that … to make smarter, faster lending decisions and drive ongoing optimisation across the loan lifecycle. You will collaborate with analysts, stakeholders, backend engineers, and product teams to continuously improve our Data Warehouse, ensuring it remains a strategic asset for the business. This role also offers the opportunity to influence the broader analytics function by mentoring analysts and shaping the analytical … workflows used across the organisation. What You'll Be Doing Overseeing the data modelling architecture and implementation for UK Loans. Driving the development of our DBT models, collaborating with analysts and stakeholders to enhance their efficiency in gaining insights. Supporting and mentoring analysts at all technical levels to accelerate their development and improve their engineering skills. Communicating analysts More ❯

of leading global brands across retail, technology, food delivery, and travel, offering exclusive digital experiences and offers to a highly engaged customer base. As part of ongoing growth across data and analytics, the Senior Insight Analyst will join a growing analytics function, working closely with commercial teams, data engineering, and data science to deliver actionable insights … across customer behaviour, marketing performance, and strategic growth opportunities. The Role This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope … with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action. Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment. Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience More ❯

Overview: You will be part of a team to design, validate, test and help to build a complex infrastructure stack for a high-performance and resilient Arm's global engineering platform. You will enjoy a challenge doing research, development and testing of complete systems to a high standard. Working in the Solution Architecture Team, which is part of the … Arm Engineering IT department, we are responsible for ensuring that we have a confirmed understanding of both our engineering infrastructure and the engineering workflows that run on top of it, by applying a mixture of Software, DevOps, Data Engineering, Data Analytics and Data Visualisation disciplines to a variety of complex engineering problems. … This is an excellent opportunity to learn and expand your skills working with a complex engineering platform! Responsibilities: Architect, build and lead system integration processes to meet the engineering's needs. Evaluate any project constraints and devise alternatives to reduce risks, whilst performing process re-engineering. Analyse and find any impacts that technical changes may have on a More ❯

Databricks 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 when handling sensitive data. What will you need to do More ❯

Machine Learning Operations Engineer Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the … you'll be responsible for: Develop and maintain API services using Databricks and Azure. Implement and manage Azure Cache (Redis) and Azure Redis. Utilize Databricks Delta Live tables for data processing and analytics. Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile manner. Ensure the … testing. Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for source control and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta More ❯

Machine Learning Operations Lead Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML … models into the live pricing environment. The ML Ops Lead will work closely with data scientists, data engineers, and external consultants to deliver a robust and scalable ML platform. What you'll be responsible for: Lead the development and deployment of the ML Ops platform. Oversee the design, build, and testing of API services in the development environment. … integration of the platform with RADAR and other systems. Ensure Code is production ready and follow the SDLC best practices. What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker and More ❯

remote) Key Responsibilities Design, build, and maintain cloud infrastructure primarily on Microsoft Azure Develop and manage Infrastructure as Code (IaC) using Terraform Support the integration, deployment, and monitoring of Data Warehousing solutions Collaborate with Data Engineering and DevOps teams to ensure robust platform performance and availability Implement best practices in security, scalability, and disaster recovery Contribute to … Requirements Proven experience as a Platform Engineer, DevOps Engineer, or similar role Strong hands-on experience with Azure cloud services Proficiency in Terraform for infrastructure automation Solid understanding of Data Warehouses and supporting technologies (e.g., Azure Synapse, Snowflake, BigQuery, or similar) Familiarity with CI/CD tools and practices Strong scripting skills (e.g., PowerShell, Python, Bash) Good understanding of More ❯

one day per week at DMS Whittington (WS14 9PY) An exciting opportunity has arisen within CIO as a Senior BI Design & Integration Manager. The role sits within the CIO Data Team and is focused on the agile development of robust data models within the Data Warehouse, which are delivered in sprints to support the business requirements. It … is a key role in supporting the aims of the BI function as it is at the centre of the providing, supporting and maintaining data models accessed via data marts, to ensure reliability and performance in line with the expectations of key stakeholders. The role is also tasked with supporting, testing, and providing proper resilience of the Data … plan. As a major contributor to the support of key stakeholders, this role interacts with the BI delivery team within the BI function and is also responsible for documenting data models providing clarity to end users and the wider DIO on the structure of the Data Warehouse, associated Data Marts and their views. It is also a More ❯

Data Engineering Manager £110,000-£115,000 + 10% bonus ️Databricks, Snowflake, Terraform, Pyspark, Azure London, hybrid working (2 days in office) Leading property data & risk software company We are partnered with a leading property data & risk software company that contributes valuations, insights, and decisioning technology to over 1 million mortgage approvals each year. They are … looking for a hands-on Data Engineering Manager to play a key role in building new technology that will enhance their data engineering capabilities, while leading, mentoring, and developing a team of 4-5 engineers across multiple data projects. What's exciting about the role This company is redefining the mortgage journey and the tooling … for customers, impacting actual users who can make more informed decisions. Work with modern tech-own your work in Azure, data visualization, and data modeling. Engage in projects that influence the company's bottom line. Drive the business forward by enabling better decision-making processes. Tech Stack : Databricks, Azure, Python, Pyspark, Terraform. What's in it for you More ❯

Data Engineering Lead (MLOps AI PaaS) London/Remote to £110k Are you a data savvy hands-on technology leader? You could be joining a well-funded and growing hotel revenue optimisation technology start-up that uses AI and complex algorithms to enable hotels to price their rooms according to demand; this is a £7 billion a … year industry and the product is in great demand. As a Data Engineering Lead you will lead a small, experienced, Science Platform team that are building and maintaining the Platform as a Service (PaaS) that enables development and operation of AI- first revenue optimisation solutions. You'll remain hands-on 80-90% of the time, driving architectural decisions … strategy, you will partner with the Product Manager to define and execute technical strategy and the product roadmap and take ownership for the success of critical platform components including data science workflows, cloud environments, observability systems and CI/CD infrastructure. Location/WFH: You can work from home most of the time but must be commutable to London More ❯