Data Engineering Jobs

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 the lowest layers of Palantir's software stack, contributing high-quality code for database technologies, distributed systems, large-scale data systems, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container orchestration and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.

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

Drive large-scale enterprise data warehouse migrations to the Databricks Intelligence Platform across EMEA, acting as the tier-3 technical escalation point for complex, strategic accounts. Build assessment tooling, programmatic migration assets and guardrails, while mentoring the regional Solutions Architect community and feeding field insights back to Product and Engineering.

Matillion · East Coast USA · US$107,500 – US$150,000 pa

Owns the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partners with SDRs, marketing and channel allies on territory strategy, and works cross-functionally with product and solution architecture. Requires MEDDIC-style methodology and large enterprise contract experience.

Matillion · Central USA · US$107,500 – US$150,000 pa

Owns the full enterprise sales cycle, from self-sourced pipeline through closing six-figure deals and onboarding new customers. Partners with SDR, marketing, channel and solution architecture teams to build territory strategy, while using MEDDIC or value-selling methods to translate technical challenges into business value.

eFinancialCareers · London

Lead the strategy, architecture and hands-on engineering of a cross-asset market data platform spanning crypto and traditional markets, including a central Market Data API, low-latency feed handlers and a firm-wide messaging layer. Manage a small development team while owning vendor relationships, data quality, cost control and regulatory entitlements across a hybrid on-premise and cloud environment.

Elastic · United Kingdom

Lead technical work on the Prism team, building systems that turn Elastic Security's raw data into a trustworthy picture of users, hosts and services. You'll own small-to-medium projects end to end, writing TypeScript and React with Node.js services, and optimising queries and data models for scale. The team is distributed, collaborating asynchronously across GitHub, Slack and design reviews.

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, modelling, and architecture governance. Drives adoption of data policies and standards across EMEA and globally, collaborating with IT and business stakeholders and aligning with programmes such as the Data Platform and BCBS 239.

Fivetran · United Kingdom, EMEA

Senior pre-sales technical leader partnering with sales and customers to shape technical strategy and design dbt-centred solutions. Runs discovery, demos, workshops and proof-of-value engagements, and helps build pipeline through outbound prospecting. Works across dbt, cloud warehouses, orchestration, BI and governance with significant autonomy.

Fivetran · London

Partner with Commercial sales reps to uncover customer data replication needs and run organised proof-of-value processes that secure the technical win. Deliver technical presentations across AWS, GCP, Azure, Snowflake, BigQuery and Databricks, while advising on database replication and ETL tooling. Hybrid role with two days weekly in the Dublin office.

SoCode · London · £700 – £900 pd

Hands-on data engineering role focused on building and optimising pipelines that consolidate client and market data from multiple sources, with ownership of data logic, transformations and validation. Involves data modelling, reconciliation, quality monitoring and Snowflake performance tuning, applying Medallion Architecture to a growing wealth management platform.

Avanti Recruitment · Manchester · £60,000 – £100,000 pa

End-to-end data architecture role owning the full data lifecycle, from ingestion to consumption, across secure client environments. Involves designing lakehouse and medallion architectures, defining batch and streaming pipelines, and making decisions on storage, orchestration, governance and security. Cloud-agnostic, working with AWS, Azure or GCP alongside Databricks, Snowflake, Spark and Kafka.

Center Parcs group · Newark · £90,000 – £100,000 pa

Lead the organisation's data strategy, platforms and governance, evolving scalable data architecture and engineering practices while building a company-wide data culture. Act as senior adviser to the CTO and BI leadership, turning data into products and prioritising analytics and AI opportunities that improve decision-making and guest experience.

Spectrum IT Recruitment · Southampton · £40,000 – £45,000 pa

Design, develop and maintain data pipelines supporting sports analytics and player tracking, working extensively with Python and SQL. You'll help grow a Databricks environment, integrate event and tracking data, and work closely with Data Scientists while taking technical ownership of data engineering challenges and architecture decisions.