Senior Data Engineer
New
EMEAFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 7+ years
- Required Skills
- PythonSQLCloud ComputingAirflowData modelingdbt
Requirements
- 7+ years in data engineering
- Significant hands-on experience using modern data stack tools
- Advanced SQL
- Proficient Python for data engineering tasks
- Strong data modeling and warehousing fundamentals
- Proven experience with orchestration (e.g., mage.ai, Airflow)
- Experience with dbt
- Experience with ELT solutions (e.g., Fivetran, Airbyte)
- Experience with a cloud platform (GCP, AWS, Azure)
- Track record of building and maintaining reliable, end-to-end data pipelines in production
- Ability to work effectively with cross-functional teams
Responsibilities
- Design, build, and maintain scalable data pipelines and infrastructure using our core data stack
- Implement data quality checks, monitoring, and contribute to data governance practices
- Develop and optimise data models using dbt for analytics and operational use cases
- Troubleshoot data issues, potentially assisting with tracking implementation problems
- Ensure data infrastructure supports downstream consumers, including analytics and potentially future AI/ML initiatives
- Collaborate with analysts and stakeholders to ensure data accessibility for visualisation and operational syncing (Hightouch)
- Optimise performance and cost-efficiency of the data platform
- Mentor team members and promote data engineering best practices
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