Data Engineering Jobs

Palantir Technologies · Palo Alto, United States · US$10,000 pa

Interns deploy and operate Palantir software across real production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems issues, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with significant ownership.

Palantir Technologies · Palo Alto, United States · US$10,500 pa

Internship on Palantir's defense product vertical, contributing production code to the Gotham platform used by militaries for data integration, visualization and analysis. Work spans the full product lifecycle, from ideation and prototyping to shipping, with a dedicated mentor and small product teams. Stack includes Java, Go, TypeScript, React, Cassandra and Spark.

eFinancialCareers · London

Lead and mentor a small team of data engineers building the architecture of a proprietary trading firm's data platform, splitting time evenly between hands-on software development and leadership. The team owns data platform capabilities, managed infrastructure and metadata management systems underpinning a common query layer, working with Airflow, Kafka, Spark and Python or Java. The role combines people leadership, technical leadership, product ownership and stakeholder coordination.

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.

Databricks · London

Customer-facing role building and productionising data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.

Databricks · London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks Data Intelligence Platform. Own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Requires up to 50% travel to client sites.

Databricks · London

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, real-time systems and AI/ML at scale, mentors junior architects, and orchestrates cross-functional teams. Requires deep Databricks, Python, SQL and Spark expertise with a declared technical specialisation.

Databricks · London

Join an engineering team to build features for a data and AI infrastructure platform, owning a project end-to-end from design through code and feedback. Work spans full stack, backend, infrastructure, systems, tools, cloud and databases, with a dedicated mentor and a 12-week summer cohort.

Databricks · United Kingdom

Owns and grows Databricks' public sector business across the Republic of Ireland and Scotland, inheriting an established book of strategic government accounts. Runs a consumption-led sales motion, building an Ireland-wide go-to-market plan, expanding platform usage, and pursuing net-new departments and agencies with cloud and partner co-sell teams.

Databricks · United Kingdom

Expert-level technical leader owning the most complex enterprise data and AI engagements, driving consumption strategy and executive relationships for a Leeds-based retail customer. Requires deep Databricks platform expertise, Python/SQL coding, and architecture skills across lakehouse, streaming and AI/ML at scale, while mentoring junior architects.

Databricks · London

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Designs and maintains high-QPS, low-latency backend systems at massive scale while providing technical leadership, mentoring engineers and leading complex cross-team projects.

eFinancialCareers · London

Acts as Product Owner and Business Analyst within a value stream, translating complex fixed income requirements into epics, features and user stories while owning the team backlog in Azure DevOps. Bridges business and technology across Index Management, R&D, Operations and Technology, ensuring asset-specific needs become reusable data services rather than bespoke silos, with UAT and agile ceremony support.