Senior Data Engineer
Build and operate the data platform and pipelines that support billing, financial reporting, product analytics, and operational decisions. The role requires strong Python, SQL, data modeling, cloud data platform, orchestration, and infrastructure-as-code experience.
About the job
Responsibilities
- Build systems that turn complex usage and operational data into trustworthy datasets for billing, financial reporting, and product decisions.
- Build and operate the data platform and pipelines that power these use cases.
- Integrate data from internal systems, third-party tools, and external partners into one consistent platform.
- Own data modeling across the warehouse and set standards for data structure as the company scales.
- Work primarily in Python and SQL, using Dagster as the orchestrator.
- Build and maintain cloud infrastructure managed with Terraform.
- Work directly with stakeholders to understand their problems and deliver trusted data.
- Design for correctness and observability through testing, monitoring, and data quality checks.
- Take problems from scoping through production and operate what you build.
Requirements
- Experience designing and operating production data platforms, including ingestion, storage, modeling, orchestration, and reliability.
- Strong data modeling fundamentals and the ability to explain architectural trade-offs.
- Pragmatic, business-focused approach to balancing speed, quality, and long-term maintainability.
- Ability to work through ambiguity and drive underspecified problems to production solutions.
- Effective use and critical review of AI tools in engineering workflows.
- Strong Python and SQL skills.
- Experience with modern cloud data platforms such as BigQuery, Snowflake, or Databricks.
- Experience with data orchestration tools such as Dagster, Airflow, or Prefect.
- Ability to own cloud infrastructure and use infrastructure-as-code tools such as Terraform.
- Clear communication with technical and non-technical stakeholders.
Nice to Have
- Experience with GCP data services such as BigQuery, Pub/Sub, or Dataflow.
- Stream-processing experience.
- Experience with dbt or similar transformation and modeling frameworks.
- Ability to read or contribute to Go or Ruby application code for integrations.
- Experience with financial, billing, metering, or usage data.
Compensation and Benefits
- EU salary range: €90,000–125,000.
- UK salary range: £90,000–125,000.
- Competitive compensation and stock options.
- Home-office or work-setup stipend.
- Learning and development budget.
- Free phone and international data plan.
- Regular collaboration in one of the company hubs, with some remote flexibility and occasional travel.
Skills
Python, SQL, Dagster, Terraform, BigQuery, Snowflake, Databricks, Airflow, Prefect, GCP, Pub/Sub, Dataflow, dbt, Go, Ruby
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