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Build and maintain ETL/ELT data pipelines on AWS (S3, Redshift, QuickSight) using Python, PySpark, SQL, and tools like Talend, Power BI, Pentaho, SSIS, and Azure Data Factory.
Senior Data Engineer on a 3–4 month contract designing and maintaining ETL/ELT pipelines on Microsoft Fabric Lakehouse, implementing medallion architecture (bronze/silver/gold layers) with SQL, Python, and Spark.
Software Developer working on LMAX's ultra-low-latency Java exchange in London, using distributed event-driven core Java, MySQL, Kafka, Python, and Linux in a pair-programming, continuous-delivery culture.
LMAX is seeking a software developer to work on their high-performance, ultra-low latency exchange platform using core Java. The role involves pair programming, working across a full-stack environment, and contributing to greenfield projects within a collaborative, test-driven culture.
Senior Data Engineer designing and operating QL Group's enterprise Lakehouse platform on Microsoft Fabric, building ETL/ELT pipelines, data ingestion from ERP/supply chain systems, and analytics-ready data assets.
This internship role involves assisting with user onboarding for Elasticsearch and BI tools, processing anomaly logs, and supporting the creation of data dashboards for business decision-making.
The Data Engineer Intern will assist in onboarding users to BI tools, processing anomaly logs, and creating data visualizations. The role requires basic database knowledge and familiarity with tools like Elasticsearch and BI platforms.
Senior Data Engineer building data products with automated pipelines for batch and streaming scenarios using Databricks, Azure, and languages like PySpark/Python.
The Senior Cloud Data Platform Engineer will design and optimize cloud data infrastructure using AWS services, IaC, and data engineering tools to support scalable data workflows. This freelance role involves maintaining AWS projects and providing technical guidance to data engineering teams.
Data Architect specializing in Microsoft Fabric—designing architecture, governance, OneLake, and Real-Time Intelligence solutions while integrating with the Azure data stack and Power BI, and influencing senior stakeholders in a consulting environment.
Data Architect role in Central London designing and delivering data solutions using the Azure data stack, with focus on data modelling across relational and dimensional models and performance optimisation of SQL Server and PostgreSQL databases.
The Big Data Engineer will design and build scalable data pipelines and streaming solutions using PySpark, Scala, and various big data technologies. The role focuses on optimizing distributed data platforms and processing large-scale datasets within an enterprise environment.
Senior Rust engineer designing and implementing interoperability layers with open table formats, extending DataFusion and Parquet, and defining APIs for an open-source data platform focused on robotics and sensor data.
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.
Senior Data Engineer on a 3-4 month contract in London, designing and building data pipelines end-to-end from messy source data to production-grade outputs using Python, orchestration tools (Dagster/Airflow/Prefect), AWS/S3/Parquet, and AI coding assistants.
Data Engineer building and governing data models and transformation layers in Databricks using Python, SQL, and Spark within cross-functional squads to deliver business-ready data products for reporting and analytics.
Designs, builds, and maintains cloud-native data pipelines (AWS/Azure) for government/regulated industries, focusing on ETL/ELT, PySpark, SQL, and data integration to enable data-driven decision-making.
Data Engineer building and optimising ETL/ELT data pipelines using Microsoft Fabric and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics.
Design, build, and operate cloud-native data platforms across AWS and Azure using Databricks and Microsoft Fabric, covering the full data lifecycle from ingestion through transformation, modelling, and serving to enable analytics and AI use cases.
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