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Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Pre-sales Technical Solutions Architect focused on data engineering, helping enterprise customers design AI-ready data platforms using Snowflake and Databricks on major clouds while partnering with sales teams to shape services opportunities.
Senior Data Engineer building scalable data products and pipelines on cloud platforms (AWS/Azure/GCP) using tools like Databricks, Snowflake, Spark, and Airflow.
This range is provided by ARC IT Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from ARC IT Recruitment…
Location: Hub Location (London/Reading/Birmingham/Glasgow/Leeds) Consultant: Mags Rendle Excellent career opportunity! The Organisation TDRC are excited to be once again working with one of the UK’s leading Wealth…
IntaPeople are seeking an experienced Data Engineer to join one of their financial services focussed clients based in South Wales. This role is critical to transforming a reporting-led organisation into a proactive,…
Are you a Data Engineer who thrives in fast-moving environments? Do you enjoy bringing structure to complexity and making data truly work for a business? Looking for a contract where you can make an immediate, visible…
Builds and optimizes data pipelines to stabilize enterprise systems, improve reporting accuracy, and establish scalable data foundations for clients. Focuses on ETL/ELT, data quality, cloud platforms, and collaboration with stakeholders to drive data-driven decision-making.
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management…
Leads a small data engineering team to design, build, and optimize Azure-based data pipelines, warehouses, and reporting environments using Fabric, Synapse, and SQL, while mentoring engineers and improving platform performance.
A mid/senior Data Engineer designing, building, and optimizing ETL/ELT pipelines, data models, and governance foundations using Azure Data Factory, Spark, and Databricks in London.
Location: London, UK Work mode: Hybrid (3 days weekly from office) Skills: Data Engineering, Microsoft Fabric, Cloud Data Engineering, Fabric Data Factory, Lakehouse, Data Warehouse, Dataflows Gen2, and OneLake. We at…
Get AI-powered advice on this job and more exclusive features. This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base…
Senior Data Engineer owning a Databricks-based data platform—writing pipeline code, building jobs, and data modelling daily using Databricks, Delta Lake, Azure Data Factory, and Microsoft Fabric.
Builds and maintains automated, governance-aware data pipelines using Azure Data Factory and Databricks, improving data quality and warehouse layers while collaborating on DevOps practices.
Lead Data Engineer owning the design and execution of a UK wealth management firm's data platform, leading a small team and working hands-on with Azure Data Factory, Azure SQL, Dataverse, and the Microsoft 365 ecosystem.
Build and optimize a Microsoft Fabric-based data warehouse using Kimball methodology, migrating from Azure Data Factory to support analytics and reporting in a data-driven SaaS business.
Role Overview The end‑to‑end delivery of Database Replication (Hydration) initiatives on Azure Fabric / One Lake. This role blends strong data background with delivery ownership, team leadership, and stakeholder…
Lead Data Engineer owning the architecture and development of a Databricks-based data platform for Retail Insight, leading a small team and building scalable data infrastructure using Databricks, Spark, Delta Lake, Python, SQL, and Azure cloud services.
Hands-on Data Engineer building scalable data solutions on a modern analytics platform, primarily using Snowflake, Azure, Python, and dbt within the Asset Management sector.
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