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Senior Data Engineer building and supporting scalable, enterprise-grade data platforms using Azure and Microsoft Fabric, designing data pipelines, Lakehouse and Data Warehouse solutions, and optimizing performance.
The Senior AI Data Engineer will build and maintain AI-focused data infrastructure, specifically working with knowledge graphs, vector databases, and RAG architectures. The role involves developing LLM-integrated data pipelines to support advanced data processing.
The Lead Data Scientist will oversee data projects using Python, R, and SQL, with a focus on NLP and solution architecture. The role involves designing and managing data workflows and ingestion processes, ideally within a financial context.
Data Scientist at Vitality delivering end-to-end data science workstreams using Python, SQL, and machine learning algorithms.
This role is for a hands-on Azure Databricks Platform Engineer/Architect to optimize enterprise data platforms, implement serverless compute, manage FinOps, and migrate workloads from POSIT/RStudio. The position requires deep expertise in Azure Databricks, Python, PySpark, and SQL to build and maintain scalable data pipelines and platform controls.
Build and operate enterprise-scale ETL/ELT data pipelines and knowledge graph infrastructure using Python, SQL, Google Spanner, BigQuery, Neo4j, and vector databases to support enterprise search and AI systems.
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.
This Senior Data Engineer role involves designing and managing scalable cloud-native data platforms and pipelines using AWS services like S3, Glue, and Redshift. The position requires strong programming skills in Python, Scala, or Java and involves providing technical leadership to team members.
We are seeking a Senior Data Engineer / Developer to join a major Liquidity Reporting programme, delivering regulatory reporting solutions for large UK insurers. This is a hands-on role focused on building and…
Location: London (2 days onsite per week) Duration: min. 6-month contract Start: ASAP Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support…
We are looking for experienced Foundry Application & Data Engineers to support the run, maintenance and enhancement of operational applications on Palantir Foundry. The role involves a combination of application…
Pharmalex is looking for a Data Engineer to join their growing team. This will be a remote-based role but there is a requirement to travel to Lutterworth one day of the month. Your role involves designing, building,…
The Opportunity We are seeking a skilled data engineer with at least 2 years of experience to join our team in London. You will design, build, and maintain data pipelines transforming data from hundreds of thousands of…
Build and own a data platform for Sieora’s AI outbound engine, handling data ingestion, PostgreSQL storage design, and LLM-driven feature development with end-to-end scalability and operational rigor.
Senior Data Engineer designing and maintaining scalable data pipelines, building ETL/ELT processes, and working with cloud data platforms using Python, SQL, Azure Data Factory, and Apache Spark.
The Senior Platform Data Engineer will manage clinical data pipelines and RAG infrastructure using Databricks and vector databases to support AI model training. The role focuses on streaming healthcare data, maintaining feature stores, and ensuring robust data governance within a clinical environment.
Builds and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data solutions for an energy company’s modern data platform, ensuring reliability, performance, and cross-functional collaboration.
Designs and maintains scalable data infrastructure (data lakes, pipelines, feature stores) to enable AI-driven media analytics, audience intelligence, and business decision-making for a media company.
Data Engineer building on-premise, air-gapped data pipelines from scratch for structured data, images, video, and sensor/time-series data using Python and SQL on self-managed bare-metal infrastructure.
Own SeatGeek’s foundational Catalog—defining events, venues, and seat maps that power the entire ticketing platform and fan experience.
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