Jobs / Albert Heijn
Senior Data Platform Engineer (dbt, Databricks, Apache Spark, Python)
Albert Heijn · Zaandam, NH, Netherlands
Zaandam, NH, NetherlandsExp: 5+ yrs?-105,000 EURHybrid
Remuneration
?-105,000 EUR
Location
Zaandam, NH, Netherlands
Visa sponsorship
Not specified
Job summary
The Senior Data Platform Engineer role focuses on developing a cutting-edge retail media platform for various brands in Europe. Key responsibilities include migrating data pipelines to a dbt-based platform, designing scalable data platforms using Databricks and Apache Spark, and ensuring data quality and integrity. The position requires strong expertise in Python, SQL, and modern data architectures, along with a collaborative approach to mentoring fellow engineers.
Benefits
20 days paid vacation12.5 days extra vacation optionFlexible working hoursChallenging training curriculum – AH Tech AcademyExcellent pension planAttractive discounts on various insurance policies10% staff discount on groceriesFree Mijn Albert Heijn Premium membershipCompany laptop and telephone
Qualifications
- 5+ years of experience in data engineering
- Extensive hands-on experience with dbt
- Strong experience with Databricks and Apache Spark in production
- Strong SQL skills
- Strong Python software development skills
- Experience with modern data platform architectures
- Experience with Terraform and infrastructure-as-code practices
- Proven ability to mentor and support other engineers
- Experience integrating test automation into daily workflows
- Ownership of data model governance and integrity
- Proactive with a strong sense of ownership
- Strong opinions on data engineering best practices
- Ability to drive technical standards across teams
- Comfortable leading technical discussions
Responsibilities
- Establish and evolve engineering best practices in Databricks, Spark, dbt, Python, testing, observability, and CI/CD
- Lead migration of existing data pipelines to a modern dbt-based platform
- Design and evolve scalable batch and streaming data platforms processing millions of records
- Support and coach fellow data engineers through knowledge sharing and code reviews
- Embed test automation in data engineering workflows
- Guard data models and ensure data integrity
- Build self-service models for team access to the data platform
- Improve reliability, scalability, performance, and cost-efficiency of data platforms
- Own data quality standards and operational excellence
- Partner with platform engineers to shape future data platform direction
- Lead technical discussions and evaluate architectural trade-offs
Skills
DatabricksdbtKafkaPythonScalaSparkTerraform
Relocation
No