276 to 300 of 356 Remote Data Engineering Jobs

Data Engineer - MS Fabric - UK role (WFH) - 6 months initial contract - Top rates - Outside IR35 Major consultancy urgently requires a Data Engineer with experience of MS Fabric (tech stack is Microsoft Fabric, PySpark/RSpark and Github) for an initial 6 months contract (WFH and Outside IR35) who is passionate about building new capabilities from the ground up … and want to help explore the full potential of your data platform. As aa Data Engineer you will have hands-on technical ability and experience of building and managing modern data platforms, preferably in Microsoft Fabric and ideally be familiar with integrating customer/third-party data into Fabric, possess Product Development Awareness: Understanding how data … platform capabilities may integrate into digital products and services. Experience working with or within product development teams is a plus Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and More ❯

you'll love the opportunities available to grow your career at Booksy. The people you'll like to work with and things you'll enjoy impacting: As a Senior Data Engineer reporting to the Head of Data Engineering in our Data Platform team, your purpose will be to design and implement robust data solutions, enabling … our teams to make informed, data-driven decisions. By ensuring our data is accessible, reliable, and well-governed, you'll play a key role in driving growth, innovation, and operational excellence at Booksy. Essentially, to ensure you succeed in this role you're going to need: 5+ years of experience in backend and data engineering, with … in tools like BigQuery, Dataflow, Pub/Sub, or similar Hands-on experience with CI/CD tools (e.g., GitLab CI) and infrastructure as code A strong focus on data quality, governance, and building scalable, automated workflows Experience designing self-service data platforms and infrastructure Proven ability to mentor and support others, fostering data literacy across teams More ❯

Data Engineer - MS Fabric - UK role (WFH) - 6 months initial contract - Top rates - Outside IR35 Major consultancy urgently requires a Data Engineer with experience of MS Fabric (tech stack is Microsoft Fabric, PySpark/RSpark and Github) for an initial 6 months contract (WFH and Outside IR35) who is passionate about building new capabilities from the ground up … and want to help explore the full potential of your data platform. As aa Data Engineer you will have hands-on technical ability and experience of building and managing modern data platforms, preferably in Microsoft Fabric and ideally be familiar with integrating customer/third-party data into Fabric, possess Product Development Awareness: Understanding how data … platform capabilities may integrate into digital products and services. Experience working with or within product development teams is a plus Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and More ❯

Job Title: Data Analyst Salary: up to £52,809 + Benefits + London weighting (£60,979) Location: 1 day a week onsite in Canary Wharf Contract Type: 12 months FTC + extension or switch into permanent Start Date: ASAP Working hours: Monday - Friday - 9am - 5pm Overview - Data Analyst A large public sector client in the delivery of advanced … business intelligence and data-driven insights is looking to add a Data Analyst to their already strong BI function. The role of Data and Business Analyst will work across teams to deliver actionable performance data, develop reporting tools and drive continuous improvement in data management practices. The Data Analyst position will have large amounts … of stakeholder engagement across all levels of the business whilst also working with other technical teams such as; BI Solutions, Data Engineering, Data Science & Platform Engineering. Key Responsibilities - Data Analyst: Act as lead BI partner for designated teams, developing strong relationships and understanding business needs Deliver high-quality reports, dashboards and actionable insights using tools such More ❯

ABOUT CAPTIFY Captify is the leading Search Intelligence Platform for the open web and the largest independent holder of first-party search data outside of the walled gardens, connecting the real-time searches from over 2 billion devices globally. Its Search Intelligence technology powers omnichannel programmatic advertising and real-time insights for the world's biggest brands, such as … our core values: Building this together Give a shit Fail fast to succeed faster Unlimited potential Find out more about our culture here: OVERVIEW We are looking for an Engineering Manager to lead our Platform Team. The role will lead the charge on our transformation to decentralised infrastructure fully managed through IaC. Captify ingests billions of search events every … company-wide best practices. This is an opportunity to innovate and develop a platform stack which enables the amazing work that our product teams do building out our ML, data and application products. Working closely with our architect and Technical Product Manager, the successful candidate will be comfortable collaborating with the product teams to design the most effective systems 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 ❯

Lead Data Engineer £75,000-£85,000 ️ AWS, Python, SQL, Airflow Brighton, hybrid working Analyse customer behaviour using AI & ML We are partnered with a private equity backed company who provide an AI-powered, guided selling platform that helps businesses improve online sales and customer experience. They are looking for a Lead Data Engineer to lead a small … team in building a key part of their data infrastructure. The role This role blends people management, individual contribution, and technology leadership. What you'll be doing Individual Contribution: You will take ownership of project briefs and design robust architectural plans. You will also champion the importance of thorough testing and ensure alignment with stakeholder expectations throughout the development … process. People Management: You will lead and mentor a small team of Data Engineers, fostering a high-performance culture by guiding their professional growth and ensuring effective communication within the team and with stakeholders. Technology Leadership: You will guide strategic decision-making regarding technology and architecture, ensuring solutions are scalable, cost-effective, and flexible enough to meet diverse customer More ❯

Principal Data Engineer – AWS Location: London (Hybrid/Flexible) - Other UK Locations available Salary: £95,000 - £105,000 + Bonus A leading consultancy is hiring for a Principal Data Engineer to join their fast-growing data team, delivering cloud-native data platforms for high-profile clients across sectors. This role will focus on designing and implementing … end-to-end data solutions using modern AWS tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering. Key Responsibilities: Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB). Deliver ETL/ELT solutions with Matillion and related tooling. Work closely with … junior engineers. Requirements: Strong hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with relational databases and data lake architectures. Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc. More ❯

Principal Data Engineer – AWS Location: London (Hybrid/Flexible) - Other UK Locations available Salary: £95,000 - £105,000 + Bonus A leading consultancy is hiring for a Principal Data Engineer to join their fast-growing data team, delivering cloud-native data platforms for high-profile clients across sectors. This role will focus on designing and implementing … end-to-end data solutions using modern AWS tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering. Key Responsibilities: Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB). Deliver ETL/ELT solutions with Matillion and related tooling. Work closely with … junior engineers. Requirements: Strong hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with relational databases and data lake architectures. Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc. More ❯

is open to both London or Bristol locations, with a hybrid working policy We're looking for a Technology Manager to lead a multidisciplinary team at the intersection of data engineering, analytics, and product development within the Retail Media domain at Just Eat Retail Media drives significant revenue, and this new Data, Insights & Tooling team will lay … the foundations for making customer data accessible and actionable-powering segmentation, dashboarding, and data products via our Customer Data Platform (CDP). The team will include analytics engineers, data scientists, and software engineers, working closely with our central Data & Analytics function to enable data activation across the JET ecosystem. As Technology Manager, you'll … alignment, and impact. These are some of the key ingredients to the role: Career development: mentoring your team, conducting performance reviews, guiding career development & maintaining a high standard of engineering output from the team. Hiring: recruiting, onboarding and retaining our data/engineering talent Motivation: fostering a positive, inclusive working environment & team culture. Project Delivery: overseeing our More ❯

engineering. • Implement Retrieval-Augmented Generation (RAG) for effective querying of Confluence/Jira documents. • Design and implement multi-agent coordination patterns, such as planner-executor and supervisor-worker. Software Engineering Tool Integration: • Integrate with Jira REST API/GraphQL, Bitbucket Cloud REST API, or Git command-line for seamless workflow automation. • Integrate with Atlassian to react to new events … in Jira/Bitbucket. • Integrate MS Teams for chat-based agent interactions. Data Engineering & Analysis: • Parse logs and summarize natural language content (e.g., commit messages, PRs, tickets). • Analyze time series and event data to detect bottlenecks and patterns. • Apply embedding techniques to represent documentation, issues, or discussions. Cloud & Infrastructure: • Utilize containerization (Docker) for deploying agents. • Ensure … least 2 reference projects in Gen AI, preferable one on Agentic AI • Proficient in integrating APIs and developing function calling/tool use orchestration. • Experience with vector databases, prompt engineering, and Retrieval-Augmented Generation (RAG). • Strong background in software engineering tool integration and data engineering/analysis. • Experience with CI/CD pipelines and cloud More ❯

Morgan Hunt are working with a large public sector organisation to recruit a PowerBI developer on a 3 month contract. The role sits within the analytics team within the data and AI function and plays an important role in transforming data into structures that enable analysis and decision making. Extensive experience designing and building complex dashboards and data models for reporting is essential.Key responsibilities: Work with business users to develop scalable and maintainable Power BI Dashboards adhering to security access rules Design, build and test data models in both Azure Synapse and Power BI, ensuring they can be used for effective analysis and decision-making. Partner with subject matter experts to understand the logic and relationships … between data objects and build physical data models and semantic layers which reflect those needs. Provide support to colleagues and users, investigate issues and present findings to technical and non-technical stakeholders Collaborate with the Data Engineering and Operations team to triage, troubleshoot and resolve support issues with products 3 month contract (possible extension)Hybrid working More ❯

Job Description: The Leonardo Cyber Security Division is looking to recruit a Principal DevSecOp Engineer to join its UK based engineering team working within a highly secure environment; with responsibility for providing a bridge between software development, testing, infrastructure, operations and system administrators to facilitate efficient, continuous and high-quality software and environment delivery. The processes and tooling implemented … maintaining of systems with complex architectures on client site; with on-going proactive operational support, and working closely with key stakeholders and end users. Working within a specialist skilled engineering team providing 1st to 3rd line support to the client. These roles demand excellent technical skills with the responsibility to support, maintain and operate systems while conforming to industry … The principal role will require excellent leadership and team working attributes but also requires the ability to take accountability to work independently. Projects will be from the full systems engineering lifecycle from Concept Exploration through to In-Service Support providing the opportunity to develop your experience while supporting the requirements management, system architecture and design, subsystem design and development More ❯

Senior Consultant - Data & AI Pre-Sales Lead Company Description Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. … our offerings are designed to meet diverse business needs Job Description The role will be responsible for devising solutions to business requirements for new and existing clients within the Data & AI domain. The role combines commercial acumen with broad technical expertise to be able to assist customers and partners in translating business requirements into cost effective, fit for purpose … bidding space. Through pragmatic, effective and customer focused presales, the role holder will contribute to targeted growth across our GTM. Working as part of the Netcompany GTM team the Data & AI Pre-sales Lead will support all aspects of presales customer engagement, including exploratory meetings, workshops, bids, and overall account strategy discussions. They will be able to demonstrate and More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. Responsibilities … Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. Responsibilities … Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree More ❯

Graduate Data Engineer (Python Spark SQL) *Newcastle Onsite* to £33k Do you have a first class education combined with Data Engineering skills? You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive growth potential. As a Graduate Data Engineer … ll join a graduate trainee scheme, initially you'll get to grips with intensive training for the first three months, you'll then move on to shadow more experienced Data Engineers working with their clients and following that (at around six months) you'll move on to working with your own clients to provide them the data services … BSc from a Russel Group university, Mathematics, Physics, Computer Science or similar technical/scientific discipline, backed by minimum A A A grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best More ❯

SYSTEMTEC is seeking an Data Engineer (AWS) for a Hybrid (On-Site Tuesday -> Thursday) opportunity in Columbia, SC. Candidates must have experience in big data technologies and cloud-based technologies AWS Services, State Machines, CDK, Glue, TypeScript, CloudWatch, Lambda, CloudFormation, S3, Glacier Archival Storage, DataSync, Lake Formation, AppFlow, RDS PostgreSQL, Aurora, Athena, Amazon MSK, Apache Iceberg, Spark, Python … ONSITE: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed. Standard work hours: 8:30 AM - 5:00 PM Required Qualifications of the Data Engineer (AWS): Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship or work with Third-Party agencies. Bachelor's degree-in Computer Science … s degree in Computer Science, Information Technology or other job related degree 6 years-of application development, systems testing Nice to have: AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager More ❯

Site Name: Home Worker - GBR, Home Worker - DEU (Munich), Home Worker - ESP, Home Worker - NLD, Home Worker - POL Posted Date: Jun 421498 Data Curation Developer This role focuses on the technical experience required to curate (e.g. pre-process, harmonize, wrangle and contextualise) data to produce high-quality data assets for R&D analysis. The aim is to … support GSK's Disease Area Strategies and other key R&D priority areas by making data analysis-ready, enabling efficient and effective decision-making across various therapeutic areas. We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance … more about our company wide benefits and life at GSK on our webpage Life at GSK GSK In this role you will Lead the development of business requirements for data curation through collaboration with R&D business and data platform teams. Maintain strong connections with analytical groups and R&D Data Platform teams to ensure seamless data More ❯

Job description This is a free 16-week training course followed by a role with Barclays. Title : Mid-Level Software Engineer, Mid-Level Data Engineer, Mid-Level Java Developer, Mid-Level JavaScript Developer Job location : Manchester & Knutsford, England, United Kingdom (Hybrid), Full-Time, 2 days in the office per week. Description : Step into a role as a Mid-Level … Software Engineer, Data Engineer, Java Developer or JavaScript (UI) Developer with one of our partner companies through the Mid-Level Accelerator programme. From free learning to a linked job role Our Mid-Level Accelerator programme with a linked job role is perfect for those who have 1.5+ years of experience in Software or Data Engineering (Python), Java … roles are linked directly to free education, and upon completion of our course, you will be equipped to start your role as a Mid-Level Software Engineer, Mid-Level Data Engineer, Mid-Level Java Developer or Mid-Level JavaScript (UI) Developer. WHAT ARE WE LOOKING FOR? 1.5+ years of experience in a technology-focused role and a mind for More ❯

range of business problems, including brand reputation, crisis management, business impact, marketing, and media strategy. You will work closely with Onclusive's talented teams from Product Design, Consulting Services, Engineering, Data Engineering, Marketing, Customer Success, and others. The ideal candidate would be comfortable working with SaaS B2B products that leverage Onclusive's global media content data … Your Responsibilities: Deeply understand customer needs and industry innovations to drive the product vision and strategy, maximizing business and customer impact. Develop product roadmaps in partnership with relevant product, engineering, ML/AI, and analytics teams that execute product vision and strategy. Work closely with customers to understand their business priorities, opportunities, and pain points in their roles and … visitors) and develop new metrics tailored to industry and workflows. Partner with senior management, insights, and AI teams to define and align on vision, strategy, and roadmaps. Work with Engineering to unify monitoring and workflow capabilities and streamline product offerings. Develop product and user experience strategies that organically accelerate product adoption. Who you are: A degree (BS, MSc, MBA More ❯

Tasman is defining the future of Data Analytics-as-a-Service. We are a young and growing company funded fully by analytics & data science work for our ambitious clients. We are hiring an Analytics Engineer to join our team to: Partner with our clients to design and develop scalable domain-driven data models. Complete technical analyses of … business requirements, accurately estimating complexity. Build, maintain and troubleshoot complex SQL data models. Design and implement testing frameworks to assure the quality of the data being presented. Mentor and develop other Analytics Engineers in Tasman to achieve their full potential. ABOUT TASMAN At Tasman, we transform disorganised data into meaningful business value, empowering teams to master your … analytics. As a boutique consultancy with offices in the UK and the Netherlands, we have been serving clients across Europe since 2017. Our expertise spans analytics, business intelligence, and data science, allowing us to deliver rapid, impactful results through tailored, scalable solutions. Our past and current clients include well known brands like The Earthshot Prize, Verisure, Paired, Ecosia, Gousto More ❯

management Skills and Experience AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security. AI Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with … business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/CD: Hands-on knowledge of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's in More ❯

effectively aligned with business objectives, driving product innovation and value. As a Senior Applied Scientist, you will: Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation. Operate in an agile way, pushing for quick iterations guided by customers' needs. Be accountable for all research deliverables on small to medium-sized projects … ensuring competitiveness of the company's products and services. Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements. Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining. About You: You're a fit for the role of … Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Outstanding communication, problem-solving, and analysis skills Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback (Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or More ❯

transformative results for development partners. Requirements : ML in Practice : Proven experience building and maintaining operational ML systems. Python Proficiency : Strong Python coding skills and familiarity with relevant ML/data engineering libraries. DevOps Mindset : Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git). Problem-Solving Approach : Ability to troubleshoot issues in complex ML More ❯