Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer at Refined, building analytics data platform for data-driven decisions. Collaborating with cross-functional teams in a hybrid work environment.
Responsibilities
- Build and own Refined’s analytics data platform so teams can make confident, data-informed decisions.
- Directly shape how Product, Customer Success, Marketing, and Finance prioritize work, measure outcomes, and understand customer behavior.
- Develop and maintain Refined’s data platform for analytics using software best practices (version control, code review, CI/CD pipelines).
- Design and build core business data models (especially dimensional models) that make analytics consistent and scalable.
- Ensure data quality and reliability through testing, monitoring, and documentation, so datasets are trustworthy and reusable.
- Advocate for data-informed workflows by enabling self-serve access, improving data literacy, and raising awareness across the company.
Requirements
- 2–4+ years of experience working with analytics or data engineering
- Strong SQL skills, writing high-quality, maintainable queries (ideally with dbt or similar tooling)
- Experience with data modelling, especially dimensional models
- Python or similar development experience, working with data pipelines and tooling
- Ability to translate business context into clear technical solutions and definitions
- Comfort working in a distributed, English-speaking team
Benefits
- Pension
- Health insurance
- Sick leave
- Five weeks of paid vacation
- Paid parental leave
- Flexible hours
- Hybrid work (typically 2–3 office days per week)
- Learning budget
- Wellness allowance
- Dedicated time to grow personally and professionally
- Twice-yearly company offsites
- Optional team events
- Offices where fika and darts are part of the rhythm
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