Data Engineer (Python Spark SQL) – Newcastle (Onsite) – up to £120k
Do you have a first‑class education combined with Data Engineering skills?
Progress your career at a start‑up Investment Management firm with secure backing, an established Hedge Fund client, and massive growth potential.
As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring data capabilities align with business objectives. You’ll contribute to the ongoing development and operation of the firm’s data platform, leveraging in‑house and third‑party tools to deliver scalable, efficient solutions.
Your focus will be on analysing and automating data‑related processes, building and maintaining pipelines from multiple external providers, curating and managing datasets, designing pragmatic data models, and enforcing data standards and quality controls across the organisation.
Location / WFH:
Newcastle offices – full‑time (Mon‑Fri, 09:00‑18:00) with some flexibility. On‑site showers available.
About you
* Academic record: minimum 2.1 BSc from a top‑tier university in Computer Science or similar, with A levels A/A/B.
* Commercial Data Engineering experience with SQL, Apache Spark, and Python (PySpark, Pandas).
* Good understanding of modern data‑engineering best practices.
* Experience with Azure and Azure Data Bricks (ideal).
* Excited to join a start‑up and shape your role.
* Collaborative with excellent communication skills.
What's in it for you
* Salary up to £120k
* Bonus
* 25 days holiday
* Bupa healthcare
* Generous pension contribution
* Continuous career development opportunities
* Social team atmosphere, events and early finish for drinks on Fridays
Apply now to find out more about this Data Engineer opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We are an equal‑opportunity employer who will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Seniority level
* Mid‑Senior level
Employment type
* Full‑time
Job function
Information Technology
Industries
Staffing and Recruiting
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