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

Selby Jennings; London; Hybrid; GBP 75,000 - 100,000; Full time

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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