Data Engineering Jobs

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with federal health and civilian agency customers to solve open-ended, high-stakes problems, owning projects end to end like a startup CTO. Work spans whiteboarding architecture, building data pipelines and operational workflows, deploying AI agents, and advising executives, using Java, Python, TypeScript/React, Spark, and AWS.

Palantir Technologies · Chicago, United States · US$135,000 – US$200,000 pa

Embedded directly with customers to understand their hardest problems, then architect and build custom applications on Palantir's platforms using large-scale data and AI. Works in small agile teams owning projects end-to-end, from ideation to deployment, with direct stakeholder engagement and up to 25% travel to client sites.

eFinancialCareers · London

Take end-to-end ownership of a systematic investment firm's data platform, covering ingestion, ETL pipelines, vendor dataset management, storage design and data quality across market, reference and time-series data. Work directly with the CTO, traders and researchers in a small team, moving across the stack into core systems, APIs and research tooling when needed.

eFinancialCareers · London

First-line support for a high frequency trading environment, acting as the point of contact for traders, researchers and internal users. The role blends hands-on engineering with operations: resolving user issues, addressing data quality concerns, managing vendor relationships and alerts, integrating new datasets, configuring quality controls and keeping pipelines and APIs robust, scalable and production-ready. Sits within a London-based Global Data Engineering team supporting trading, with a strong Python and data modelling focus.

eFinancialCareers · London

Designs, builds and optimises a petabyte-scale data platform and Data Lake using cloud-native AWS tooling such as S3, EKS, Glue, Airflow, Trino, Parquet and Redshift, with Apache Iceberg adoption planned. The role sits in a flat-structured Data Services team supporting trading users, combining data engineering, DevOps and CI/CD automation on Linux/Unix infrastructure.

eFinancialCareers · London

Owns a greenfield Snowflake-based enterprise data platform for a private markets investment firm, covering architecture, ingestion pipelines and governance. Integrates portfolio, fund administration and market data into governed datasets, with hands-on Python, SQL and Azure work alongside senior stakeholders.

eFinancialCareers · London · £70,000 – £106,000 pa

Designs and builds a greenfield data platform in a hybrid Azure and on-prem environment, creating pipelines, ETL processes and data models while migrating legacy capability. Works within a circa 100-person EMEA Data & Analytics Technology team, mentoring peers and aligning delivery to platform strategy. Requires at least two days a week in the London office.

eFinancialCareers · London · £700 pd

Hands-on role building AI-powered applications, intelligent workflows and machine learning solutions in Python, taking them from concept through to enterprise production deployment. Involves LLMs, agentic frameworks, AI orchestration, model evaluation, testing and monitoring, working with technical teams and business stakeholders to drive AI adoption.

eFinancialCareers · Belfast

Builds and maintains Java/J2EE microservices and RESTful web services for Citi's Risk Data Team within the Institutional Data Platform, working on high-performance data pipelines and aggregation engines. The role involves Core Java multi-threading, Spring Boot, SQL optimisation, CI/CD and code quality tooling, plus leading and mentoring a team of developers. Hybrid working in Belfast with up to two days per week from home.

eFinancialCareers · London · £600 – £700 pd

Shapes future-state architecture across a data platform landscape, leading build vs. buy assessments and providing strategic direction to delivery and technology teams. Supports the transition from current to target-state architecture, resolving conflicts and dependencies while weighing low-code/no-code and AI trends. Requires banking and enterprise data platform expertise.

eFinancialCareers · Belfast · £45,000 – £60,000 pa

Hands-on role building and maintaining ETL/ELT pipelines, data warehouses and data lakes, with a focus on Microsoft Fabric, SQL Server, SSIS and SSRS, plus tools like Fivetran and Alteryx. You'll take ownership of the data engineering function, support data migration from legacy systems and work closely with analysts, scientists and business stakeholders.

eFinancialCareers · London · £92,000 – £138,000 pa

Hands-on AI Solutions Architect role taking end-to-end ownership of AI solution design, from use case intake through architecture, governance approval and production delivery. Works across Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI and GCP, driving designs through Solution Design Authority and AI governance in a regulated banking environment.

eFinancialCareers · London · £90,000 – £115,000 pa

Lead data architecture across complex client transformation programmes, covering data modelling, flows, migration, governance and modern cloud data platforms. Provide technical leadership, assurance and technology selection guidance while mentoring junior architects. Remote-first UK role in a growing Data & AI consultancy practice, with public sector or healthcare experience valued.

eFinancialCareers · London

Designs, builds and optimises scalable Snowflake data solutions for Risk, Finance, Treasury and Regulatory reporting in a financial services environment. Hands-on delivery covers ELT/ETL pipelines, dbt transformation frameworks, Python automation, data modelling and performance tuning, alongside solution architecture and stakeholder workshops.

eFinancialCareers · London

Joining the Vendor Data Group, you will collaborate with a trading team to build and maintain mission-critical ETL/ELT data integration pipelines and tools for alternative commodity and macro data. The role involves developing scalable data architectures, enhancing data processing and optimising workflows in a real-time environment, with a strong emphasis on data accuracy and solving difficult technical problems.