Job Description
This role involves shaping the future of online car markets for a top European automotive marketplace, which is merging with a Canadian company. The Senior Data & Analytics Engineer will build and maintain robust data pipelines, organize and transform raw data into scalable models, and ensure data quality using validation frameworks. Responsibilities include working with cloud tools like Athena and Glue, collaborating with stakeholders, enforcing data governance, and continuously improving data workflows to enhance user experience for millions of car buyers and sellers.
Must Have:
- Build and maintain robust data pipelines that deliver clean and timely data
- Organize and transform raw data into well-structured, scalable models
- Ensure data quality and consistency through validation frameworks like Great Expectations
- Work with cloud-based tools like Athena and Glue to manage datasets across different domains
- Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver solutions
- Help set and enforce data governance, security, and privacy standards
- Continuously improve the performance and reliability of data workflows
- Support the integration of modern cloud tools into the broader data platform
Perks:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
About the project:
Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. The company is now merging with a similar company in Canada and needs support in this way. As a Data& Analytics Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.
Requirements:
- 5+ years of experience in Data Engineering or Analytics Engineering roles
- Strong experience building and maintaining pipelines in BigQuery, Glue, Athena, and Airflow
- Solid Python skills, especially for data processing and workflow orchestration
- Advanced SQL skills and experience designing dimensional models (star/snowflake)
- Familiarity with data quality tools like Great Expectations
- Understanding of data governance, privacy, and security principles
- Experience working with large datasets and optimizing performance
- Proactive problem solver who enjoys building scalable, reliable solutions
- English - Upper-Intermediate+
Responsibilities:
- Build and maintain robust data pipelines that deliver clean and timely data
- Organize and transform raw data into well-structured, scalable models
- Ensure data quality and consistency through validation frameworks like Great Expectations
- Work with cloud-based tools like Athena and Glue to manage datasets across different domains
- Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver solutions
- Help set and enforce data governance, security, and privacy standards
- Continuously improve the performance and reliability of data workflows
- Support the integration of modern cloud tools into the broader data platform
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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