Data Engineering Jobs

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £84,000 pa

Own and oversee a business-critical enterprise data platform built on Microsoft Azure, acting as technical lead for architecture, scalability, governance and operational excellence. Work with Infrastructure, Security and Architecture teams on CI/CD, automation, monitoring and Infrastructure-as-Code, supporting production and incident management while enabling Data Engineers and shaping platform strategy across Data and AI initiatives.

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.

Palantir Technologies · New York, United States

Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, owning APIs, schemas and state management. Works with TypeScript, React, GraphQL and Blueprint, and may join the Frontline program embedding with customers on high-stakes projects.

eFinancialCareers · London

Builds and supports an enterprise data platform primarily on MS SQL Server with .NET services, writing Python and SQL stored procedures, functions and scripts. Works on ETL development with SSIS and SSAS, dimensional data modelling, and dashboards in Streamlit, Power BI or Tableau, supporting Operations, Risk and Finance. Mix of maintaining existing systems and greenfield data projects, with AI tooling used daily.

eFinancialCareers · London · £55,000 – £65,000 pa

Design, build and maintain ETL/data pipelines and secure cloud-based data platforms using Python and SQL, applying DataOps and DevOps practices. Work with architects, analysts and software engineers on high-impact projects supporting UK national security, covering data modelling, orchestration and governance.

eFinancialCareers · London · £1,100 – £1,200 pd

Hands-on KDB+/q engineering role in a front-office technology team supporting electronic trading across Fixed Income markets. You will build real-time pricing, trading and risk applications, maintain data pipelines and APIs, and work directly with traders and quants on high-performance time-series platforms, including production support and releases.

eFinancialCareers · London

Partners with portfolio managers, IT and data engineering to assess data needs across equities, FX, rates, fixed income and credit, then sources and evaluates market, reference, pricing and alternative datasets for systematic strategies. Leads complex data projects, compares vendors and negotiates agreements, and advises on data operations such as cost allocation, cataloguing and delivery infrastructure.

eFinancialCareers · London

Lead a data and analytics organisation spanning strategy, governance, business intelligence, data science and experimentation. Owns game economy standards, monetization optimisation, segmentation and pricing, working with Product and Live Operations to grow player lifetime value. Also directs forecasting, machine learning and responsible AI use across the portfolio.

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 · £84,000 – £126,000 pa

Leads data architecture deliverables for a business area or domain, covering current and target state definitions, data cataloguing, and architecture governance. Ensures projects align with data policies and standards while collaborating with global architects and IT/business stakeholders. Supports foundational capabilities underpinning the Data Platform, Client Lifecycle Program, ECB and BCBS 239 in EMEA.

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.