Senior Data Engineer

Senior Data Engineer – Palantir Foundry

As a Senior Data Engineer, you’ll play a key role in building a modern, large‑scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you’ll shape engineering standards, improve data quality, and enable trusted insights.

• Drive measurable change by shaping and delivering large‑scale data products and platforms using Palantir Foundry and cloud‑native tooling.
• Engineer scalable pipelines, transform complex datasets into operational decision‑making assets.
• Partner with clients to unlock efficiency and insight across critical programmes.
• Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption.

Location:

Swansea, Wales – hybrid (on‑site presence two days per week). UK security clearance required.

In this role you’ll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high‑impact solutions that improve outcomes and drive innovation across the sector.

• Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions.
• Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks.
• Ensure data quality, governance and security across the data ecosystem.
• Enable data‑driven decision‑making for national healthcare services.

Location:

Leeds, United Kingdom – hybrid. UK security clearance required.

• Design and deliver high‑quality dashboards using Power BI, Tableau, SQL, Excel and related technologies.
• Partner with business stakeholders to gather requirements and translate them into effective analytics solutions.
• Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards.
• Drive reporting automation and continuous improvement of analytics frameworks.
• Present insights, trends and recommendations to senior leadership and cross‑functional teams.
• Champion best practices across data modelling, visualisation and reporting standards.

• 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines.
• Advanced proficiency in Power BI and SQL.
• Extensive experience in data modelling, data transformation and dashboard development.
• Proven stakeholder management skills and ability to gather requirements effectively.
• Excellent communication and data storytelling skills.
• Desirable:
  Experience with Power Automate, Azure, Tableau or Python;
  Power BI and/or Azure certifications.

Location:

United Kingdom – hybrid.