Data Engineer Jobs with Visa Sponsorship in London

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.

MUFG★3.3 (1k)· London

Senior AI engineer in MUFG's Global Markets Engineering Office; role builds AI solutions using generative AI, agentic workflows, RAG, prompt orchestration, workflow automation, and data-driven decision-support tools. The position identifies, designs, and embeds AI solutions to improve productivity, control effectiveness, and operational resilience within a specific business product line.

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.

Python, SQL, AWS, IaC (Pulumi or Terraform), and likely Airflow, dbt, Spark, Kafka. You will build ETL/ELT pipelines ingesting and normalising data from fragmented legacy police systems for AI-powered investigation software and smart hardware. This is a founding role on a 7-person engineering team.

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.

Lead the design and architecture of cloud-native, distributed systems, APIs, and data platforms powering Fasanara Open Quant, a quantitative multi-strategy multi-manager hedge fund. Build core investment, portfolio, risk, and data technology while working directly with portfolio managers, quantitative researchers, and traders.

Ares Management★3.3 (33)· London

This senior full-stack engineer works with cloud-native architectures, microservices, Kubernetes, messaging/event streaming, APIs, and CI/CD. They build scalable applications, data services, and platform capabilities across Ares' global credit investment lifecycle, including deal origination, underwriting, portfolio monitoring, risk management, and analytics.

BlackRock★3.8 (632)· London

This role involves building full-stack features using Python, .NET, React, and TypeScript, along with APIs, microservices, and SQL Server, MongoDB, or Snowflake. You’ll join Preqin’s London Engineering team, part of BlackRock, developing cloud-native SaaS solutions for its private markets data platform. The position covers end-to-end product development, CI/CD, and production support.

Work with Python, modern AI platforms, LLMs, APIs, distributed systems, MCPs, and tool-use frameworks to build AI-powered applications, assistants, and agentic workflows. You will drive AI adoption across QRT’s High Frequency Trading business, creating tools that improve productivity in research, development, and trading operations.

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.

You'll work with NVIDIA's AI stack: TensorRT-LLM, Triton, RAPIDS, NIM, NeMo, AgentIQ, and Azure AI services, plus Python, Docker, and Kubernetes. You'll design, prototype, and deliver secure, scalable NVIDIA-enabled AI proofs of concept, accelerators, and production solutions for enterprise and public-sector clients.

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.

Build GenAI applications with LLMs and orchestration frameworks using production-grade Python on Azure and Databricks. Apply CI/CD, containerisation, and MLOps to take ML systems from ideation to production for a UK consumer services company’s 15-person central AI function.

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.

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.

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.

Genpact★3.8 (7.9k)· London

Lead a team of data engineers developing Big Data solutions with Databricks, Snowflake, cloud computing, and ETL pipelines. Design scalable data pipelines and ensure data quality for global enterprises at Genpact, an agentic AI and advanced technology solutions company.

Invesco★3.9 (499)· London

You will research and develop APIs, high-performance computing algorithms, and portfolio construction tools for the Invesco Vision® platform, using classical statistics, ML, and Generative AI. You will build multi-asset portfolios and employ multi-period simulation tools as part of the Portfolio Construction and Engineering team at the investment firm Invesco.

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.

Deloitte★3.9 (14k)· London

Work with Python, R, Azure, Databricks, SQL, Tableau, Power BI, Docker, Kubernetes, and other ML frameworks. You will deliver data analytics and machine learning services for Deloitte’s Audit and Assurance practice, providing insights to clients and developing innovative ML tools.

NatWest Group★3.7 (1.2k)· London

You will work with Generative AI, advanced ML, cloud-based environments, and MLOps to design and deliver AI/ML solutions for Treasury use cases including liquidity forecasting, capital optimisation, and risk management. Leading a team of engineers, you will oversee the adoption of AI to transform Treasury into a predictive, real-time, data-driven function.