Senior Data Engineer (Defence)
Senior Data Engineer at Neptune North, a Newcastle upon Tyne technical consultancy (JV of Oliver Wyman and Rokos), building data platforms for UK defence clients while providing technical leadership, mentoring and hands-on delivery. Core stack: Python, SQL, Spark/Databricks, cloud (AWS/Azure/GCP) and Airflow; UK SC clearance eligibility required.
- Compensation
- Not disclosed
- Location
- Newcastle
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum 5 years experience designing, building and overseeing data-intensive applications and pipelines
- Excellent programming skills in Python and SQL, ideally other modern languages
- Experience with distributed computing frameworks such as Spark or Databricks
- Experience with cloud platforms such as AWS, Azure or GCP
- Experience with orchestration tools such as Airflow
- Track record of establishing data quality, testing and observability practices across a team
- Solid understanding of software engineering processes and drive to embed best practices
- Excellent verbal and written communication skills, adaptable to audience
- Experience working effectively in a team with commitment to knowledge-sharing and collaboration
- First-class or 2:1 degree from a leading university in Computer Science, Mathematics, Engineering, Physics or related discipline
- Ability to work effectively with ambiguity while maintaining a disciplined, outcome-focussed approach
- Eligible for UK SC-level security clearance (UK national)
Nice to have
- Experience in defence or national security
- Experience writing technical proposals or bids
Full description
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-
- Location: Newcastle upon Tyne
- Security clearance: must be eligible for UK SC-level security clearance (UK national)
- Visa sponsorship: we are not able to sponsor visas for this role
- Closing date: applications reviewed on a rolling basis
About Neptune North
Neptune North is a high-performing technical consultancy. We build data, AI and software solutions for clients in defence, financial services and private capital, working on demanding problems in challenging environments.
We were founded in 2024 as a joint venture between Oliver Wyman and Rokos Capital Management. We’re headquartered in the centre of Newcastle upon Tyne, with a growing international footprint, and we’re recruiting exceptional engineers across every level.
The role
We’re looking for a Senior Data Engineer to deliver data solutions for defence and to help provide technical oversight to a new and rapidly growing team. You will help lead, define and strengthen the applied AI capabilities that differentiate Neptune North and build a trusted reputation across defence clients. Potential projects might include fully engineered production pipelines, Proof of Concepts (POCs), and applied work to make sensitive or hard-to-reach data usable in operational settings.
Responsibilities
- Influence the technical direction and play a key role in strengthening Neptune North’s data capabilities
- Provide leadership/hands-on delivery in a wide range of data projects
- Work directly with clients to shape requirements, manage expectations, and to build trust
- Contribute to winning work by helping to write compelling bids and high-quality technical proposals
- Advocate knowledge sharing across the team and identify opportunities for reuse of capabilities
- Regularly provide career and technical mentorship to other engineers to build a high calibre team
- Demonstrate flexibility in taking on work aligned to evolving company priorities
What makes a great candidate
You don't need to meet every requirement to apply. If this role excites you, we'd like to hear from you.
Senior Data Engineer:
- Minimum 5 years employment experience delivering and/or overseeing data intensive applications and pipelines
- Strong SQL skills and comfortable working with large, complex datasets
- Experience with distributed computing, cloud platforms and orchestration tools, such as Spark, Databricks, AWS, Azure, GCP or Airflow