17 of 17 Remote/Hybrid ETL Jobs in the Thames Valley

years in Professional Services, client-facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. Agile delivery experience preferred. What Experience/Skills Do I Need ...

reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect ...

have the opportunity to: Interpret and validate data requirements, analyse large-scale structured datasets, and ensure data accuracy and completeness. Design and implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). ...

and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas ...

each week, and offers an immediate start with strong extension prospects. What You’ll Be Doing Developing, refining, and maintaining robust ELT/ETL data pipelines Supporting the migration of data assets into a Databricks Lakehouse framework Ensuring data is accurate, reliable, and optimised for analytical consumption Partnering with stakeholders ...

and the Azure data platform (Data Factory, Synapse, etc.). Experience with Databricks (or strong willingness to learn). Solid understanding of data architecture, ETL processes, and performance optimisation. Excellent leadership and communication skills. What's Offered Competitive salary up to £75,000. Hybrid working model - 1 day per week ...

technical excellence. Architect and implement robust, cloud-first data solutions. Drive migration projects from Azure to Databricks. Develop high-performance data pipelines and optimise ETL processes. Explore emerging technologies to keep the organisation ahead of the curve. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Hands ...

have strong experience of building Data Lakes, Data Warehouse and/or Data Marts You have experience of building and configuring data pipelines using ETL/ELT from APIs, flat files, streaming services and public data sources You have a strong knowledge of engineering best practices including CI/ ...

architecture and strategy, and mentor a small team of Data Engineers to ensure best practices. Key Responsibilities Build and maintain scalable data pipelines and ETL processes using Databricks Collaborate on data architecture and translate designs into build plans Deliver large-scale data workflows and optimise for performance Implement data quality ...

enhance and support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred ...

stack AI ready, drive innovation and leverage Agentic development where its needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services ...

role (with a relevant technical degree) Strong Python skills Experience working with SQL and relational databases Comfort operating in a Linux environment Exposure to ETL pipelines or production data systems is a plus Familiarity with financial or market data is advantageous but not required Pre-Application: Please do not apply ...

Experience and skills required: Essential Experience in building reports using Power BI Excellent skills in SQL Server Experience of SSIS data import packages using ETL procedures Experience of producing reports using SSRS Highly Desirable Experience of undertaking performance reviews and optimisation activities Experience in data warehousing and cubes Connells Group ...

strong listening and coaching skills Experience in Business Intelligence, CRM, ERP, Cloud enterprise software sales Working knowledge of Business Intelligence competitor products, Data Preparation, ETL, Database, Analytics and Enterprise Data Warehouses. Understanding of Big Data is preferred Demonstrable knowledge of key Return on Investment and Total Cost of Ownership principles ...

data platforms, has excellent SQL skills, and is keen to build scalable data pipelines and data models. Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Snowflake. Administer, optimise and support the Snowflake data platform for performance and cost efficiency Ingest, transform, and integrate data from … Experience Hands-on experience in Snowflake data warehouse development and optimisation. Strong SQL skills for querying, transformation and performance tuning. Experience building and managing ETL/ELT pipeline. Proficiency with at least one scripting/programming language (e.g., Python). Familiarity with modern data engineering tools like dbt, Airflow, Prefect ...

service, CRM-style tools some include SalesForce, but often not enterprise grade) Spreadsheets and imperfect real-world data This is a source-to-target, ETL-heavy role requiring curiosity, resilience, and strong problem-solving skills. You will be trusted to work independently, with minimal hand-holding, in a demanding … source systems (often undocumented) Understand and interrogate data models at source and target (D365/Dynamics) Perform source-to-target mapping Extract, cleanse, transform, and load data into Microsoft Dynamics. This will be using Python based ETL tooling. Own data migration issues through to resolution (including post-migration BAU support ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...