Remote Data Engineer Jobs in London

Build and maintain data pipelines and platforms using Python, SQL, and cloud services (AWS/GCP), often with Airflow and Spark. You will work on critical commercial and operational data platforms that process transactional, revenue, and user performance data to drive business decisions.

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.

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.

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.

As a Data Architect in Sainsbury's Tech, you will design data solutions and models using 3NF, Dimensional, Data Vault, canonical modelling, and microservice-based schemas, alongside Agile, Scrum, and XP practices. You will work on cutting-edge technology like the Smartshop app, leveraging a dataset of 1.2 billion annual transactions to serve millions of daily customers across a multi-channel, multi-brand retail business.

You will work with Snowflake, Looker, SQL, and Python to design SQL transformations, build scalable data models, and support ELT/ETL processes. The role supports a global technology company transforming how people shop and eat through data, a delivery network, and analytics.

You will work with SQL, Python, Azure data lakes, ETL/ELT pipelines, Grafana, Monte Carlo, Acceldata, Informatica, Collibra, Microsoft Purview, CI/CD and Infrastructure-as-Code. You will build scalable data observability frameworks and enforce quality standards across complex data pipelines to ensure reliable data for business decision-making.

Rightmove★3.7 (31)· London

Lead the design of Rightmove's data platform, working with dbt, Spark, Beam, Python, SQL, Terraform, and GCP. You will build scalable data infrastructure for analytics, ML, and AI initiatives across the UK's largest property marketplace.

Rightmove★3.7 (31)· London

You will build and operate GCP-based data platform infrastructure and tooling, writing Python and SQL and deploying with Terraform and CI/CD pipelines. You will design reusable batch and real-time data ingestion and processing frameworks and champion engineering best practices on the Data Engineering & Infrastructure team. This team builds the data infrastructure powering Rightmove, the UK’s largest property website.

Monzo★3.5 (109)· London

Use Python, scikit-learn, SQL, Go, GenAI/LLMs, and cloud-native tools to develop and deploy ML models. You will build intelligent, data-driven product experiences for Monzo Business Banking, helping small businesses manage cash flow, reduce admin, and surface insights. No team size is stated.

Work with Python, SQL, Azure, AWS, GCP, ETL pipelines, Airflow/Prefect, Git, and Power BI/Tableau. Build and maintain data pipelines and platforms that support marketing activation, reporting, and automation for a media and marketing organisation’s clients.

Arbuthnot Latham★4.0 (5)· London

The role involves working with Microsoft 365 tools and potentially cloud platforms, coding, scripting, databases, reporting tools, or service management platforms. The team supports architecture, software engineering, infrastructure and cloud operations, data engineering, reporting, and cyber security for Arbuthnot Latham, a bank combining private and commercial banking, wealth planning, and investment management.

You will work with HubSpot, Google Tag Manager, Google Analytics 4, SQL, and ad platforms (e.g., Google Ads, Meta) to rebuild the marketing data model, attribution, tags, and UTM standards. You own marketing analytics for a SaaS product that automates accounts payable for Xero and QuickBooks, reporting to the Head of Analytics.

This Lead Data Engineer role uses AWS, machine learning, and AI to build products that combine data and analytics for global enterprise clients. You will own and drive the entire data function for a high-growth technology company.

Build and maintain data pipelines using Microsoft Fabric, with Databricks and Azure tools like Data Factory, Synapse, and SQL Database. You will lead two other engineers on a platform that powers data-driven business strategy for a technology-focused organization.

You will lead development of a Microsoft data platform and shape data engineering capability for a London-based charity, reporting to the CTO while staying hands-on. No specific tools or team size are listed beyond the Microsoft stack and this leadership scope.

BlackRock★3.8 (632)· London

You will work with Python, SQL, AWS/Azure, CI/CD, containerization, and AI/ML workflows. This Vice President role on the Preqin Derived Data team builds scalable data products and analytics for private markets. The position combines hands-on engineering with leading and coaching a team of software engineers.

Monzo★3.5 (109)· London

Senior Data Scientist will use SQL and Python to run A/B experiments, conduct quantitative analysis, and support data-driven decisions at Monzo, a UK digital bank. The role is embedded in a cross-functional squad with engineers, designers, and product managers.

Monzo★3.5 (109)· London

You will work with Looker and self-serve analytics to drive experimentation and data-informed decisions. You will lead the data strategy for Monzo, a digital bank offering personal, business, joint, and kids accounts, savings, investments, and pensions. As a Lead, you will mentor data scientists and analytics engineers.

Senior Data Engineer at Softwire, a UK digital consultancy, working with Python, SQL, Databricks, Snowflake, Fabric, and AWS/Azure/GCP across data architecture, pipeline design, and governance. You'll lead complex data engineering projects for clients across public and private sectors—from healthcare research platforms to energy market infrastructure—while mentoring junior engineers and shaping technical direction on multi-stakeholder engagements.

You will work with Python, deep learning image models, machine learning and large image and tabular datasets. The KYC Global and Onboarding Team implements ML models and systems supporting Document verification for customer onboarding. You will own the full lifecycle of these models and mentor junior team members.

Glasswall★0.0· London

Work with Python, PyTorch, Scikit-learn, Hugging Face, Git, CI/CD, and MLOps tools to build, tune, and optimize machine learning, deep learning, and generative AI models. You will design LLM-powered systems (RAG pipelines, fine-tuning, agentic AI architectures) and production-grade pipelines within the Applied AI team at Glasswall. This hands-on role includes providing technical guidance and mentoring to mid-level and junior engineers.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

You will work with Python, deep learning image models, and large image/tabular datasets. The KYC Global and Onboarding Team performs Know Your Customer checks during consumer and business onboarding, implementing machine learning models to support document verification.