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Senior Data Engineer | Global Trading Technology Firm | London, UK | Hybrid

Selby Jennings

London

Hybrid

GBP 75,000 - 100,000

Full time

Yesterday
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Job summary

A leading global trading technology firm is seeking a Senior Data Engineer to design and scale their data infrastructure. This role focuses on building robust systems for trading and AI applications, requiring collaboration across teams to deliver high-quality data solutions. Candidates should have strong experience in data engineering with proficiency in Python and modern data tools. A competitive compensation package and long-term growth opportunities are offered.

Benefits

Discretionary Bonus
Competitive Compensation
Long-term Growth Potential

Qualifications

  • 5+ years of experience in data engineering required.
  • Proficiency in Python and SQL essential.
  • Experience with cloud-native data tools and data pipelines necessary.

Responsibilities

  • Develop and maintain scalable data pipelines for AI and trading systems.
  • Collaborate with data scientists to support model development.
  • Automate ETL processes and ensure data quality and monitoring.

Skills

Python
SQL
Data Engineering
Collaboration

Tools

Airflow
Spark
Kafka
Snowflake
AWS
GCP
Azure

Job description

Senior Data Engineer | Global Trading Technology Firm

Senior Data Engineer | Global Trading Technology Firm
Selby Jennings London, United Kingdom Apply now Posted 4 days ago Hybrid Job Permanent Discretionary Bonus
Senior Data Engineer | Global Trading Technology Firm
Selby Jennings London, United Kingdom Apply now

We're working with a global trading technology firm at the forefront of AI and data-driven innovation. As they expand their Data & AI capabilities, they're looking for a Senior Data Engineer to help design and scale the infrastructure that powers their trading and research platforms.

This is a hands-on role suited to someone who enjoys building robust systems in a fast-paced, research-led environment, and who's comfortable working across teams to deliver high-quality data solutions

We're working with a global trading technology firm at the forefront of AI and data-driven innovation. As they expand their Data & AI capabilities, they're looking for a Senior Data Engineer to help design and scale the infrastructure that powers their trading and research platforms.

This is a hands-on role suited to someone who enjoys building robust systems in a fast-paced, research-led environment, and who's comfortable working across teams to deliver high-quality data solutions



Key Responsibilities:

  • Build and Scale Data Infrastructure: Develop and maintain scalable data pipelines to support AI, analytics, and trading systems-particularly for time-series, unstructured, and text-heavy datasets.
  • Collaborate with AI and Research Teams: Partner with data scientists and researchers to support model development, fine-tune data retrieval processes, and operationalise RAG systems.
  • Support Experimentation and Prototyping: Contribute to flexible data systems that enable rapid experimentation and smooth transitions from prototype to production.
  • Automate and Optimise Workflows: Streamline ETL processes, reduce manual overhead, and improve the performance and reliability of data operations.
  • Ensure Data Quality and Monitoring: Implement validation frameworks, monitoring tools, and alerting systems to maintain high data integrity and availability.
  • Contribute to Best Practices: Help shape documentation standards, coding practices, and data governance processes.


Requirements:

  • 5+ years of experience in data engineering, with a strong focus on building scalable data platforms.
  • Proficiency in Python and modern data libraries (e.g. Pandas, PySpark, Dask).
  • Strong SQL skills and experience with cloud-native data tools (AWS, GCP, or Azure).
  • Hands-on experience with tools like Airflow, Spark, Kafka, or Snowflake.
  • Experience working with unstructured data, NLP pipelines, and time-series databases.
  • Familiarity with deploying AI/ML models and supporting MLOps workflows.
  • Interest in or experience with Retrieval-Augmented Generation (RAG) systems.
  • Strong communication skills and a collaborative, proactive mindset.


Nice to Have:

  • Experience with LLM pipelines and vector databases (e.g. Pinecone, FAISS).
  • Familiarity with data versioning and experiment tracking tools (e.g. DVC, MLflow).
  • Background in supporting AI/ML research teams or trading environments.


On Offer:

  • A role contributing to the development of next-generation AI and trading systems.
  • Exposure to a high-calibre team of engineers, researchers, and data scientists.
  • Competitive compensation and long-term growth potential in a fast-evolving space.

If you're a data engineer looking to work on impactful systems in a collaborative, forward-thinking environment, we'd love to hear from you.

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