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Senior Data Engineer working with Databricks and AWS on complex data environments, with preferred experience in Unity Catalog, Delta Lake, Delta Sharing, Terraform, and DevSecOps.
Senior Data Engineer working on innovation projects using Databricks, Delta Lake, and AWS to handle complex data, work with clients, and deliver secure, scalable solutions.
Data Engineer building and evolving data platforms, ETL/ELT pipelines, and Lakehouse architectures using Databricks, PySpark, and Cloud technologies on large-scale projects.
Senior Staff Data Engineer owning and evolving BILL's core data infrastructure—data lakes, real-time streaming pipelines, batch processing, and serving layers (Starburst, Databricks, Neo4j, OpenSearch)—while driving architectural decisions and mentoring engineers.
Base pay range Data Engineer (Contract) Location: London (2-3 days onsite) Contract until: 31 December 2026 PAYE via Umbrella Security: BPSS eligibility required The Role We are looking for an experienced Data Engineer…
The Senior Data Engineer will design and maintain scalable data pipelines and models using Spark, Kafka, Delta Lake, and Hadoop. The role involves building real-time data flows on Azure and managing data lake governance.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
Freelance Cloud Data Engineer building an Azure-native data platform (Fabric, Data Factory, Synapse) with Medallion patterns, hybrid 2 days/week in Lisbon.
Designs and optimizes data pipelines on Azure Lakehouse for analytics and AI, focusing on performance, quality, and AI-assisted development practices.
Design, develop, and maintain ETL/ELT data integration pipelines on a Corporate Data Platform using SQL, Python, Spark, Databricks, and cloud services, collecting and transforming data from business and manufacturing systems.
Data Engineer building conversion and integration layers between Mosaico's Rust-based data platform (mosaicod) and open table formats like Delta Lake and Apache Iceberg, working deeply with Apache Arrow, DataFusion, and Parquet.
Data Engineer on the Growth team building scalable Spark/Databricks pipelines for paid acquisition optimization, ML feature/training datasets, and attribution/experimentation layers at an AI productivity platform.
Builds and operates real-time telemetry pipelines for energy storage systems, ensuring reliable data for analytics and applications; designs novel data solutions and leads technical documentation.
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.
Jefferson Frank is seeking a Data Engineer in a hybrid role based near Manchester. You will design, build and optimise scalable data pipelines and platforms to enable company-wide analytics and reporting. You will work…
Senior Data Engineer – Ceox Services Ltd Join to apply for the Senior Data Engineer role at Ceox Services Ltd . Overview Ceox Services are seeking a Data Enginee r to support delivery of key data component s within our…
Senior Data Engineers will design and scale a Databricks Lakehouse platform using Medallion Architecture, Apache Airflow, dbt, and PySpark for a financial services consultancy's clients.
Allscreens Nationwide Ltd is seeking a Junior Databricks Engineer to join a client project in a hybrid/remote UK setup. The role focuses on building scalable data pipelines using Azure technologies, Delta Lake and…
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…
A hands-on engineering role building and optimising scalable ETL/ELT pipelines and Lakehouse architectures across a modern multi-cloud platform using Python, Spark, Airflow, and dbt. Requires 5+ years of data…
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