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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead development of data engineering processes to support AI solutions ensuring data quality and efficiency. Collaborate with teams for innovative data solutions and best practices.
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Lead the integration of SAP Inventory Management and Logistics Execution functions with external partners, drive global solutions, and improve logistics operations while managing digital enhancement processes.
Top Skills:
SAPSap BtpSap FioriSap Idoc
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, Athena, Glue, and Airflow
- Advanced SQL skills and experience designing dimensional models (star/snowflake)
- Experience with AWS Cloud
- Solid Python skills, especially for data processing and workflow orchestration
- 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+Great communication skills
Responsibilities:
- Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver solutions
- 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
- 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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