Senior Data Engineer
Build and scale Blink’s data platform by developing reliable ingestion pipelines, workflow orchestration, observability, and analytics infrastructure. The role requires strong SQL and Python, modern data-stack experience, cloud tooling familiarity, and the ability to collaborate across engineering and business teams.
About the job
Responsibilities
Build and evolve the data platform
- Own and improve data ingestion pipelines across the stack.
- Design and implement orchestration for data workflows.
- Productionise data processes and ensure they run reliably at scale.
Improve platform reliability and engineering standards
- Establish CI/CD practices across the data platform.
- Build monitoring, alerting, and data quality checks.
- Improve observability across pipelines and workflows.
Support analytics and product insights
- Contribute to the development of Blink IQ 2.0, the customer-facing analytics product.
- Help ensure data is reliable, scalable, and accessible across the organisation.
- Support analytics and reporting needs across teams.
Collaborate across engineering and the business
- Work with DevOps on shared infrastructure and deployment practices.
- Support ad hoc data needs and help stakeholders access reliable insights.
- Contribute to architectural decisions as the data platform evolves.
Requirements
- Strong SQL skills, including performance optimisation and complex queries.
- Experience building and maintaining data pipelines at scale.
- Experience with a modern data stack, such as Snowflake, dbt, Fivetran, Debezium, or similar.
- Experience with orchestration tools such as Airflow, Dagster, or Prefect.
- Proficiency in Python for building production data workflows.
- Familiarity with data warehousing concepts and modelling patterns.
- Experience working with cloud platforms and infrastructure tooling.
- Comfortable working across the stack, from ingestion through to analytics use cases.
- Strong communication skills and ability to collaborate with technical and non-technical teams.
Nice to Have
- Startup or scale-up experience.
Compensation and Benefits
- Competitive salary.
- Stock options on starting and additional annual high-performer grants.
- 25 days’ leave plus public holidays.
- Additional time off between Christmas and New Year.
- Private healthcare with AXA.
- 3% employer pension contribution when contributing 5%.
- Cycle to Work scheme.
- Social events, including lunches, breakfasts, and nights out.
- Enhanced parental leave.
Skills
SQL, Python, Snowflake, dbt, Fivetran, Debezium, Airflow, Dagster, Prefect, Data Warehousing, CI/CD, Cloud Platforms, Data Modelling, Monitoring, Data Quality
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