Data Engineer

Data Engineer – High-Performance Data Platforms

$100,000 - $400,000 plus bonus and 28 days holiday + bank holidays

Industry: Quantitative Finance, Investment Management & Strategic Solutions

Core Tech: SQL, Python, Apache Spark, Databricks, Microsoft Azure

The Opportunity

Born out of an elite joint venture between a global management consultancy and a leading alternative investment fund manager, this technical powerhouse develops cutting-edge data platforms and bespoke analytical solutions for global financial markets.

Operating from a vibrant central office in Newcastle upon Tyne, the team is building an intellectually stimulating, high-trust engineering culture. Instead of staying isolated in back-office support queues, you will partner directly with front-office business users and technical leaders to engineer scalable data systems that tackle real-world challenges across multiple asset classes.

Key Responsibilities

• Front-Office Collaboration: Partner directly with front-office stakeholders and investment analysts to scope, curate, and deliver mission-critical datasets.
• Platform Architecture & Ingestion: Construct resilient, high-throughput data pipelines integrating diverse market data providers into a unified enterprise platform.
• Automation & Orchestration: Design and implement automated data engineering workflows to ensure platform availability, low latency, and operational stability.
• Data Governance & Integrity: Implement pragmatic data models, rigorous schema validations, and automated quality checks to eradicate data discrepancies.
• Best-Practice Engineering: Apply modern software and data design principles, challenging legacy assumptions to deliver scalable, high-performance infrastructure.

What You Bring

• Core Technical Stack: Strong, hands-on production expertise in SQL, Python, and Apache Spark .
• Cloud & Lakehouse Ecosystem: Demonstrable exposure to Databricks and Microsoft Azure data ecosystems is highly valued.
• Academic Foundation: A minimum 2:1 degree in Computer Science, Software Engineering, Mathematics, or a quantitative STEM subject (ideally from a Russell Group university).
• Execution & Ownership: Ability to take complex pipeline tasks from raw concept to reliable production deployment with minimal supervision.
• Communication: Confidence articulating technical data nuances clearly to both engineering colleagues and non-technical business partners.
• Domain Context (Desirable): Prior experience in financial services, asset management, or capital markets is an advantage, but not essential.

Why Consider This Role?

• Immediate Impact & Autonomy: Exercise ownership over technical products from day one within a collaborative, flat-structure engineering group.
• Direct Market Exposure: Gain deep domain knowledge by learning how global financial markets, economies, and varied asset classes operate from top industry experts.
• Founding Culture: Join at an early growth phase where your engineering standards directly shape the technical DNA of a rapidly expanding regional hub.

Ready to elevate your data engineering career?

If you are a talented data engineer eager to leave behind routine ETL maintenance and build advanced lakehouse platforms directly tied to global financial markets, apply below or send a direct message to arrange a confidential discussion.

This is not simply an opportunity to join another established consultancy. The firm is at an important stage of its US growth, creating genuine scope for hires to shape how the business develops, working across a variety of clients in financial services, banking, private equity and defence.

Interested in exploring the opportunity?

If you are experienced in working with the latest software engineering principles within the financial services industry and are interested in a role where you can have a genuine impact on the direction and growth of a business, please apply or reach out to me directly.

For more information regarding the role, please contact Demetrious at [email protected].