National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer- Systematic Fund

Oxford Knight
London
1 week ago
Create job alert

Responsibilities

:
Evaluating, onboarding, and integratingplex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet the stringent requirements for research and live trading. Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by automated trading systems. Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of quantitative strategies. Providing expert operational support for the data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering daily trading activities. Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of data systems outside of standard business hours.
Requirements:
5+ years' experience building ETL/ELT pipelines using Python and pandas within a financial environment. Strong knowledge of relational databases and SQL. Familiarity with various technologies, such as S3, Kafka, Airflow, Iceberg. Proficiency working with large financial datasets from various vendors. Amitment to engineering excellence and pragmatic technology solutions. A desire to work in an operational role at the heart of a dynamic data-centric enterprise. Excellentmunication and collaboration skills, and the ability to work in a team.
Nice to have:
Strong understanding of financial markets. Experience working with hierarchical reference data models. Proven expertise in handling high-throughput, real-time market data streams. Familiarity with distributedputing frameworks such as Apache Spark. Operational experience supporting real-time systems.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you'd like more information, please get in touch:

George Hutchinson-Binks

(+44)
linkedin/in/george-hutchinson-binks-a62a69252

Job ID 1CjqwgYDj6E4

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.