Candidatul Ideal
At Brightgrove, we are looking for an experienced Data Engineer with 4+ years working in production environments, bringing strong Python skills and confident DBT modeling, including tests, exposures and environment management. They understand how to design and optimize Snowflake objects, and are comfortable tracing issues through logs and resolving pipeline failures with calm, practical judgment. Clear communication and a pragmatic approach to problem-solving are essential. Experience with PySpark or Snowpark, modern orchestrators like Dagster, CI/CD tools such as Jenkins, or cloud storage integrations on Azure or AWS would be valuable bonuses.
Descrierea jobului
About the Client Our customer is a leading investor services group employing 4750+ people across 25 jurisdictions worldwide. Solution brings together that rare combination of global technical expertise and a deep understanding of their clients' needs. Solution helps their clients and the sector to stay compliant. They act as a guardian and facilitate client’s investments.
Project Details Bridge current capacity for BAU data engineering. Keep pipelines healthy, improve reliability, and free senior engineers to focus on roadmap and strategic work.
Initial engagement is 6 months with option to extend.
Your Team Small, high performing group led by the Group Head of Data Transformation and the Head of Data Engineering. Tooling includes Snowflake, DBT, Python and orchestration on Kubernetes. Collaboration with DevOps and Data Science. Culture values ownership, clarity and calm incident response.
What's in it for you
Responsibilities
Nice to have
Project Details Bridge current capacity for BAU data engineering. Keep pipelines healthy, improve reliability, and free senior engineers to focus on roadmap and strategic work.
Initial engagement is 6 months with option to extend.
Your Team Small, high performing group led by the Group Head of Data Transformation and the Head of Data Engineering. Tooling includes Snowflake, DBT, Python and orchestration on Kubernetes. Collaboration with DevOps and Data Science. Culture values ownership, clarity and calm incident response.
What's in it for you
- Interview process that respects people and their time
- Professional and open IT community
- Internal meet-ups and resources for knowledge sharing
- Time for recovery and relaxation
- Bright online and offline events
- Opportunity to become part of our internal volunteer community
Responsibilities
- Build, monitor and support data pipelines landing from varied sources into Snowflake
- Create and maintain DBT models, tests, documentation and environments
- Write clean Python for ELT and utilities, including packaging and simple CI CD steps with Jenkins or similar
- Investigate and resolve BAU incidents within agreed priorities and handover notes
- Improve observability, data quality tests and run books
- Contribute concise PRs and reviews, follow coding standards and branching strategy
- Coordinate with DevOps on resource usage, secrets and deploys on Kubernetes
- Support knowledge transfer and keep documentation up to date
- 4 plus years in data engineering with production experience in Python
- Strong DBT modeling with tests, exposures and environment management
- Solid Snowflake skills including performance basics, roles and warehouses
- Comfortable reading logs, tracing failures and fixing pipeline issues
- Clear English communication and pragmatic problem solving
Nice to have
- PySpark or Snowpark
- Dagster or another orchestrator
- Jenkins or similar CI CD
- Experience with Azure or AWS storage and integrations
Descrierea companiei
Brightgrove is a global software development company that builds long-term engineering partnerships with clients ranging from fast-growing startups to enterprise teams. With a strong focus on technical excellence, transparency, and modern delivery practices, we combine top engineering talent with a culture that values ownership, open communication, and continuous improvement. Our teams operate across multiple European locations, offering a flexible, collaborative environment where engineers can grow, influence product decisions, and work on meaningful, high-impact solutions.
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