Senior Data Engineer | Global Trading Technology Firm
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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