A data engineer will use Snowflake, SQL, Airflow, and AWS (S3, Lambda) to support a UK leading banking client with data warehousing and workflow management.

You'll build production data pipelines using Apache Spark (PySpark), Databricks, Delta Lake, and SQL, with Unity Catalog, CI/CD, Terraform, MLflow, Kafka, and cloud platforms like AWS/Azure/GCP. Unifeye is a Databricks-first consultancy delivering Lakehouse data platforms for enterprise clients. No team size is stated.

Databricks★3.0 (21)· London

Lead a team of pre-sales Solutions Architects using the Databricks Data + AI Platform, Big Data, AI, and cloud technologies. The team drives adoption of the platform in the UK&I Retail and Consumer Packaged Goods sectors, supporting complex sales cycles and partner go-to-market strategies.

Goldman Sachs★3.9 (2.3k)· London

Design, implement, and maintain quantitative models and risk frameworks using C++, Java, or Python for Goldman Sachs' Corporate Treasury division, which manages the firm’s liquidity, funding, balance sheet and capital to maximize net interest income.

WPP Media★4.0 (1)· London

Lead a multi-faceted Engineering and BI team designing data pipelines using Adverity, dbt, and SQL within an AWS-native environment (Amazon S3, Redshift). The role governs solution architecture for OpenDoor, WPP’s partnership with Amazon, delivering large-scale digital transformation and advertising data infrastructure for a top global client.

You will design and implement data pipelines and ETL processes using Microsoft Azure tools (Data Factory, Azure Synapse, Azure Databricks), PostgreSQL, T-SQL, and Python with Pandas and PySpark. Your team builds cutting-edge Agentic solutions for internal and global customer use, curating datasets and maintaining the data lake.

Wise★3.5 (42)· London

You’ll build and maintain label integrity for Risk ML models using Python or Java, SQL, ML frameworks (neural networks, NLP, Transformers/LSTMs, GNNs, SVM), data pipelines, and Kafka. Joining Wise’s Risk ML and Intelligence team, you’ll own label quality, statistical monitoring, audit design, and end-to-end model training/deployment at the global money-movement company.

Deliveroo★3.3 (1.5k)· London

You’ll work with Go, Python, Terraform, AWS, Bazel, and container orchestration/Kafka/observability tooling. The Developer Platform group builds core systems, tools, and environments (monorepo, build ecosystem, IDEs, agentic tooling) to improve developer experience and iteration speed. No team size is specified.

Interns will use Python, R, and bioinformatics libraries (NumPy, pandas, scikit-learn, PyTorch, Biopython) to develop computational workflows and apply AI/ML to genomics, drug discovery, and other biological areas. The team at Lyna works on real-world biological problems at the intersection of AI and computational science.

Use Quantexa, PySpark/Scala, Python, and SQL to design and maintain ETL/ELT data pipelines for entity resolution, customer 360, and network analytics. These pipelines support financial-services use cases such as KYC, AML, fraud detection, and customer intelligence at a global analytics firm.

You'll use SQL, Excel, and data visualisation platforms like Lightdash, with exposure to AI/LLMs, to turn customer, trading, and market data into actionable insights. You'll support Marketing, Product, and Commercial teams at Beauty Pie, the world's first luxury beauty and wellness buyers' club.

You will lead a data engineering team building scalable pipelines with Hadoop, Spark, Apache Hive, Azure, Oracle, SQL Server, and ETL tools like Informatica, using Python, Java, VBA, Bash, and Shell Scripting. Your team manages the enterprise data infrastructure to enable data-driven decision-making across the organization.

Central and North West London NHS Foundation Trust★3.8 (57)· London

You’ll work with SQL Server, T-SQL, SSIS, Python, dbt, Tableau, Power BI, Snowflake, and cloud technologies. The role supports a Central BI Data Engineering Team building and maintaining data pipelines and warehouses for NHS reporting, including migrating from SQL Server to Snowflake and managing national datasets.

You will work with SQL, Python, Java, Airflow, dbt, Apache Spark, Google Cloud Platform (BigQuery, Dataflow, Dataproc, Cloud Storage), and DOMO. You will design, maintain, and build scalable data pipelines and infrastructure to support data analytics and reporting across the company’s portfolio of media brands.

Genpact★3.8 (7.9k)· London

This principal role drives AI-powered transformation for global enterprises, working with technologies like Generative AI, machine learning, Python, Databricks, Snowflake, and Power BI. Genpact’s advisory team leverages its AI Gigafactory to scale advanced solutions. The position includes mentoring senior advisory teams.

Sainsbury’s★3.5 (16k)· London

A Data Architect at Sainsbury's will design and build data solutions using modelling methodologies including 3NF, Dimensional, Data Vault, and canonical/microservice-based schematic design, with knowledge of machine learning and algorithmic techniques. The team supports Sainsbury's Tech, a multi-channel, multi-brand business serving millions of UK customers with a vast dataset of over 1.2 billion annual transactions. The role involves owning data models, triaging requirements, and collaborating with Product Owners and the Engineering community.

The Data Analyst will use Excel, PowerBI, and AI tools like CoPilot or Claude. They will validate and reconcile data flows from custodians, partner funds, and fund managers to support the investment and operations teams at London CIV, which pools LGPS pension assets for local authorities.

Vodafone★3.6 (3.2k)· London

This senior leadership role uses GCP, BigQuery, Azure, AWS, and modern data architectures (data lakes, streaming, event-driven systems). You will define and own Vodafone’s Digital & IT data strategy, governance, and AI capabilities, delivering end-to-end data and analytics across commercial, digital, IT, and network domains.

Quantspark★0.0· London

Work with Python, SQL, AI coding agents (GitHub Copilot, Cursor, Claude), and data visualisation tools (Power BI, Tableau) on cloud platforms (AWS, Azure). As an Analyst, you'll assist in analysing datasets, building analysis pipelines and models for client engagements across private equity, retail, public sector, and manufacturing.

F. SCHUMACHER & CO.★3.0 (53)· London

Work with SQL, Python, Snowflake (including write-back), Power BI and AI/ML tools to build statistical models (e.g., conjoint analysis, multivariate regression) for SKU productivity and capital allocation. Supporting the Data Insights & AI team at a global interior design company, you will analyze a portfolio of 20,000+ SKUs and present findings directly to the CEO and executive stakeholders.

European Bank for Reconstruction and Development★3.7 (37)· London

Lead Quality Engineering across Data & Analytics platforms using Microsoft Fabric, EBX, Azure Integration Services, Informatica IDMC, Control-M, T-SQL, Python, Power Query, DAX and Azure DevOps CI/CD. The role defines QE strategy for mission-critical financial data, integration, master/reference data and reporting platforms, embedding automation and regulatory compliance.

FDJ UNITED★4.0 (97)· London

Design lakehouse and data-lake architectures using Spark, Iceberg, Parquet, Java/Spring, Python, Docker, Kubernetes, and AWS/Azure. Modernize the Automation & Insights data platform to enable self-service analytics, real-time personalization, and AI/ML with LLMOps and MLOps practices. Establish data governance and lead technical workshops as part of the team.

You will use SQL, Python, Power BI, Alteryx, Microsoft Copilot Studio, Power Platform, and generative AI/LLM tools to build data pipelines, automations, and AI solutions for the Tax Technology and Transformation team. This team helps financial services clients modernize tax compliance, reporting, and advisory through data and AI.

You will work with Hadoop, Spark, Apache Hive, Oracle, Microsoft SQL Server, Azure, SQL, VBA, Bash, Shell Scripting, Python, Java, and Informatica. As Lead Data Engineer, you lead a team designing and maintaining large-scale data pipelines and architectures, integrating diverse data sources to support analytics. The role oversees data quality, security, and compliance across the enterprise data ecosystem.

The Data Engineer will use SQL, Python, Java, Airflow, dbt, Apache Spark, AWS, GCP (BigQuery, Dataflow, Dataproc, Cloud Storage), Snowflake, and DOMO to design and maintain scalable data pipelines. They will support the Data Science & Engineering team, optimising infrastructure for analytics and reporting across Independent Media’s portfolio of digital news brands.