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 · New York, United States · US$10,500 pm

Interns in the Production Infrastructure organization contribute production code to platforms like Apollo, Rubix and a Kubernetes-based environment platform spanning hundreds of clusters, plus observability tooling. They own features end to end with a dedicated mentor, working alongside engineers, product managers and deployment teams on infrastructure for government and defense customers.

Harnham - Data and Analytics Recruitment · London · £90,000 – £100,000 pa

Leads the data and insights function across a complex operational environment, owning strategy, measurement frameworks, scorecards and experiments. Manages and coaches a team of analysts while acting as senior analytical partner to leadership, driving standards and championing responsible AI and automation. Requires strong SQL, cloud warehousing and modern tooling such as BigQuery, dbt, Airflow and Looker/Tableau.

Harnham - Data and Analytics Recruitment · London · £90,000 – £100,000 pa

Design, build and own end-to-end data pipelines for real-time and batch analytics on high-volume, low-latency use cases. Work with Python, SQL, PySpark, AWS (S3, Glue, EKS), Snowflake, dbt, Iceberg and Dagster/Airflow, applying software engineering practices like CI/CD, testing and version control. Collaborate with analytics, product and engineering teams in a fully remote UK/Europe team.

eFinancialCareers · Newcastle upon Tyne

Builds bespoke technology solutions for clients across banking, financial services, private capital and defence, working on alternative investment, investment management and trading problems. Engineers work closely with clients and business users with high autonomy, across C#, C++, Java, Python, data engineering, AI, APIs and SQL. Open to all career stages.

eFinancialCareers · London

Embedded within a hedge fund's investment team, building Python research platforms, simulation and backtesting frameworks, data pipelines and tooling for systematic trading strategies. Works daily with quantitative researchers and portfolio managers to productionise signals and models, with a focus on testing, CI/CD and scalable system design.

Protein Works · Liverpool

Own the transformation layer in Dataform end to end, building models, tests and documentation between raw BigQuery data and business reporting. Build the semantic layer giving revenue, margin, customer and order one shared definition, and own Looker Studio reporting from executive dashboards to self-serve datasets. One of two engineering hires into the BI team, shaping safe self-serve AI analytics.

Robert Half · London

Build and support business intelligence and regulatory reporting solutions for a Central London bank, working across Axiom, BI, ETL and RPA tooling. The role centres on Oracle/SQL development and critical reporting systems, and requires fluent written and spoken Mandarin alongside English.

R3vamp · Milton Keynes

Lead the Data & MI team while owning the organisation's Business Intelligence capability, driving the migration from legacy Cognos reporting to a modern Microsoft Azure environment. Act as Enterprise Data Owner, embedding data governance and improving data quality, and translate business requirements into insight using Power BI, Azure Data Lake, Databricks and SQL. The role combines hands-on delivery with mentoring and stakeholder work across Finance, IT and Data Engineering.

Palantir Technologies · New York, United States

Builds the lowest layers of Palantir's Foundry and Gotham platforms, focusing on database technologies, distributed systems, large-scale data, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container scheduling and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.

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

Builds and evolves APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers, shaping the product's early strategy and long-term tech roadmap.

Palantir Technologies · New York, United States · US$110,000 – US$147,000 pa

Ensures stability and reliability of mission-critical workflows built on Palantir software, going on call to resolve incidents before customers are impacted. Uses field learnings to drive product change, shape internal tooling, and automate or streamline workflows, documenting best practices to raise reliability across the organisation.

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

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates like a hands-on AI startup CTO in small teams, delivering high-stakes projects and feeding field learnings back into the AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.

Palantir Technologies · London

Contributes high-quality code to the shared infrastructure behind Palantir Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Work includes a Kubernetes-based PaaS, secure fleet-wide deployment tooling and observability systems, in small engineering teams building tools for other developers.

Palantir Technologies · London

New-grad engineers contribute production code to the shared infrastructure behind Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Teams work on a Kubernetes-based PaaS, fleet-wide deployment tooling and observability systems, building tools used by other developers.