Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer / Data Integration Specialist

Selby Jennings
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Engineer, Data Engineering

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Our client, a top-tier hedge fund with a strong focus on technology, is seeking a Data Integration Specialist / Data Engineer to join their London-based team. In this role, you’ll be responsible for building and managing multiple datasets that power their research and trading platforms, as well as developing automated ETL pipelines to accelerate data onboarding. You'll also contribute to the design and implementation of the data framework, playing a key part in shaping their data infrastructure.


Key Responsibilities

  • Build and manage large datasets used across research and trading platforms
  • Develop automated ETL pipelines to onboard data efficiently
  • Contribute to the design and implementation of the data framework
  • Monitor data health and fetching processes to ensure reliability
  • Integrate alternative datasets to enhance coverage
  • Build data quality checks to ensure accuracy and completeness
  • Provide user support to quants and traders


Ideal Candidate Profile

  • 1-4 years’ experience in a similar data-focused role
  • Strong knowledge of Python, with experience in additional programming languages preferred
  • Solid understanding of AWS services
  • Experience with datalakes and databases is a plus
  • Excellent communication skills to effectively collaborate with users and understand their needs

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.