1 to 25 of 32 Remote ETL Jobs in Slough

environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of best practices. Skilled in orchestrating complex ETL workflows, integrating hybrid cloud environments, and delivering high-quality data for advanced analytics and reporting. Experience with Power BI, and building dynamic dashboards to uncover actionable insights. Excellent communication and More ❯

transforming raw data into actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data integration (flat files, APIs, databases), ETL logic interpretation. Understanding of functional and visual parity considerations between BI tools. Strong analytical, debugging, communication skills to interface with stakeholders and migration engineers. The Role Act as the technical More ❯

Excellent communication and stakeholder management skills Flexible approach to hybrid working (attending workshops, possibly across differ locations if needed) Nice to have: Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Insurance industry experience, with good understanding of what a claim is, claims process(es) etc Previous work on Data strategies More ❯

or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and data transformations. Cloud & Automation: Familiarity with CI/CD pipelines and automated testing for data workflows. Governance & Security: Understanding of data governance frameworks and security best More ❯

learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience More ❯

and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready More ❯

governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native databases. Familiarity with reporting and analytics More ❯

processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

the business. What We're Looking For Proven experience leading BI or analytics functions (ideally in tech, SaaS, or payments). Strong technical skills in SQL, data modelling, and ETL . Proficiency with BI tools such as Power BI, Tableau, or Looker. Excellent communication and stakeholder management skills. Strategic thinker with hands-on delivery experience. The client is looking to More ❯

vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets More ❯

degree in Mathematics, Computer Science, Engineering, or a related discipline. Strong proficiency in SQL and Python (or another object-oriented programming language). Demonstrated experience in designing and managing ETL/ELT pipelines. Exceptional attention to detail, with a focus on data accuracy and process reliability. A proactive problem-solver with strong analytical and communication skills, capable of working both More ❯

proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly upskill in 3D data workflows. More ❯

understanding and command of Data Pipelines Excellent communication skills Flexible approach towards hybrid working when required Nice to have: Exposure to Microsoft Fabric Experience in large Data Migration projects (ETL) Immediate availability Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept More ❯

to save time and improve efficiency Requirements: • 2+ years’ experience working with Power BI (Desktop & Service) • Strong skills in DAX, Power Query, and SQL • Experience in data modelling and ETL processes • Able to translate technical detail into clear insights • Detail-focused and able to manage multiple priorities • Finance/business background is a plus • Azure, Power Automate, or Python knowledge More ❯

for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. More ❯

re Looking For Strong experience in data engineering and architecture roles. Deep knowledge of SQL, Snowflake (or similar DWHs), and Python . Proven track record of building robust, automated ETL/ELT pipelines . Familiarity with distributed systems and handling large-scale data (millions of rows/sec) . Experience with data hygiene best practices : data models, versioning, reproducibility. Hands More ❯

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

to drive the data migration workstream implement the migration strategy. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯

management Solid hands-on C#/.NET skills for APIs, automation, and custom tooling Understanding of data flows, system integrations , and automation best practices Experience with SSIS or similar ETL tools (desirable, not essential) Contract: Permanent Salary: £44,000 – £48,000 per annum Location: Hybrid – 2 days per week in London More ❯

Programme-level Test management within finance, actuarial, or regulatory transformation initiatives. Strong understanding of insurance data, claims processing, actuarial reserving, and financial reporting. Hands-on experience with data platforms, ETL pipelines, and enterprise reporting tools. Excellent stakeholder management and communication skills across business and technical domains. Familiarity with governance frameworks, change management, and release planning in regulated environments. All profiles More ❯