Associate Data Engineer undergoing training in data engineering tools and collaborating with senior engineers on projects. Hands - on experience with real - world datasets and cloud - based platforms.
About the role
- Senior Data Engineer writing production code and maintaining data pipelines for commercial banking insights. Collaborating with other teams to deliver powerful data solutions.
Responsibilities
- Write production code daily, most likely in Python, building and maintaining the data pipelines that power our Insights products.
- Own the full lifecycle of your projects: understanding the data domain, designing pragmatic solutions, shipping them, and keeping them running reliably.
- Drive technical quality through strong engineering practices — testing, observability, data quality checks, and clean, maintainable code.
- Collaborate with product, data science, and engineering stakeholders to shape what we build and how we build it.
- Identify opportunities to apply AI within our products and workflows where it delivers genuine value.
- Contribute to the growth of the team by sharing knowledge and championing good engineering practices.
Requirements
- Strong software engineering fundamentals: you write well-tested, production-ready code and care about maintainability, observability, and operational excellence.
- Solid experience with modern data engineering tools and patterns — some combination of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and DBT.
- Proficiency in a strongly typed language, ideally Python or C#.
- Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based infrastructure.
- A product mindset — you want to understand the business domain and use that understanding to influence what you build, not just how you build it.
- The ability to communicate clearly with both technical and non-technical colleagues.
Benefits
- Offers Equity
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