Hands-on senior data engineering role building and maintaining ApprovalMax's enterprise data platform, reporting to the Data Platform Lead and mentoring the broader analytics team.
Responsibilities
- ▹Design, build, and maintain scalable ELT pipelines and transformation layers on Azure Data Lake Gen2 and Databricks
- ▹Own core dbt data models from source-aligned staging through marts and semantic layers for Power BI and Amplitude
- ▹Write production-grade Python for orchestration, custom ingestion, and transformation logic
- ▹Investigate and resolve pipeline failures within SLAs, leading root-cause analysis
- ▹Optimize pipeline performance and Databricks compute costs
- ▹Implement and maintain data quality frameworks such as dbt tests and Great Expectations
- ▹Instrument pipelines with monitoring, alerting, and lineage
- ▹Take on-call shifts and lead post-mortems for owned incidents
- ▹Define and maintain data contracts with Product Engineering, RevOps, and Finance
- ▹Contribute to the Central KPI and Metrics Glossary from a data lineage perspective
- ▹Act as technical owner of critical data domains such as subscriptions, billing, and product usage
- ▹Provide well-documented data models so embedded analysts can work independently
- ▹Champion LLM-assisted development tools such as Cursor, Claude Code, and Copilot across the analytics team
Soft skills
Mentoring mindsetProactive, self-directed approach
About the company
ApprovalMax is a fast-growing B2B SaaS company that helps businesses automate their approval workflows and financial controls, with a global team of over 100 people across the UK, Europe, North America, Australia, and South Africa. The role is remote for applicants based in the UK, Serbia, or Moldova.
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