Top Analytics Engineer Jobs in London

The Analytics Engineer will design and build Power BI solutions, define DAX measures, develop dashboards, and work with stakeholders to translate reporting needs into technical specifications. Requires extensive experience in Power BI and analytics engineering.

The Analytics Engineer will transform raw data into insights, manage the data stack, automate processes, and engage with stakeholders to optimize data usage.

The Senior Analytics Engineer will build and maintain data products and infrastructure, collaborate with teams, mentor other engineers, and enhance data-driven decision making across the organization.

Lead Analytics Engineer to architect and scale Operations data in BigQuery, build robust ETL and data models for reporting, ML and LLM use, drive re-architecture of domains, set DW best practices, own data governance and testing, lead through others, and provide on-call pipeline support.

The Senior Analytics Engineer will design, build, and scale the analytics platform, focusing on data modeling, analytics solutions, and business partnerships to enhance data-driven decision-making.

As a Senior Analytics Engineer, you'll design core data models, build AI system foundations, and ensure data quality while collaborating across teams.

As a Senior Analytics Engineer, you will design and maintain data models, establish business metrics, and ensure data quality while collaborating with data engineers and cross-functional teams.

Lead design, maintenance, and optimisation of the global data platform using dbt, Snowflake, Fivetran and BI tools. Build tested dbt models and data marts, implement CI/CD and automation, leverage frontier AI tooling, assemble complex datasets, mentor engineers, define data modelling standards, and align data architecture with business strategy.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

Lead data modelling strategy and standards, design and implement data models (star schemas), build scalable transformations using SQL, dbt, Python/PySpark, mentor engineers, co-own backlog, and translate business needs into technical solutions including custom AI and automation.

The Senior Analytics Platform Engineer will design and maintain data models in Snowflake, mentor teams, and ensure data quality for analytics at scale.

The Staff Analytics Platform Engineer will lead the architecture and development of a scalable analytics platform, focusing on Snowflake, ingestion pipelines, and technical mentorship.

The Analytics Engineer will build data models, support financial functions, and collaborate with finance and crypto engineering teams to enhance data operations.

Lead analytics engineering efforts bridging data analysis and engineering: prototype with modern stacks and AI, scale dashboards and tools, enforce data best practices, deliver high-quality technical solutions, and mentor analysts to improve data modeling and engineering skills.

As a Platform Engineer, you'll build and operate distributed analytics platforms, collaborate with teams to enhance capabilities, and drive improvements in automation and observability.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

As a Senior Analytics Engineer, you will build scalable data models, ensure data quality, collaborate with teams, and support business decision-making.

Lead end-to-end design and deployment of conversational analytics agents and semantic data models on Data360. Build data pipelines, prototype agentic analytics use cases, troubleshoot production issues, and transfer knowledge to customer teams while feeding product teams field feedback to shape roadmap.

Own and improve analytical data models and dbt transformation layer for US Loans. Collaborate with analysts, engineers, and product to enhance data quality, scalability, and insight delivery. Mentor analysts, define modelling standards, optimise pipelines for cost and reliability, and scale data infrastructure to support rapid growth.

Build and maintain trusted marketing data products and models in Omni and Snowflake using dbt and SQL. Ensure data quality, documentation, lineage, and masking. Partner with Marketing to enable reporting, attribution, funnel monitoring, and activation into operational tools. Provide training, mentorship, and stakeholder support to drive marketing measurement and decision-making.

Design and maintain marketing-focused data infrastructure and models in Snowflake and dbt. Build self-serve datasets in Omni, ensure data quality and metadata, enable activation into operational tools, support campaign attribution and funnel reporting, and train stakeholders.

The Senior Analytics Engineer will lead technical direction, develop robust data models, and mentor team members to enhance data practices.

Design and optimise downstream data models in BigQuery to support reporting, ML, financial and regulatory use cases. Build and maintain scalable ETL pipelines, define data modelling and testing standards, improve warehouse performance and data quality, collaborate cross-functionally, own pipelines and provide occasional on-call support.

As a Senior Analytics Engineer, you will design the financial data backbone, integrating ERP data, building profitability models, and enabling data-driven planning in collaboration with Finance and Operations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.