- Contribute to the development of the enterprise data lake/lakehouse using modern technologies (Databricks, Snowflake),
- Build and maintain data integration pipelines for batch and streaming data between internal systems, external partners and cloud services,
- Implement ETL/ELT and reverse ETL processes to support analytics, reporting and AI/ML workloads,
- Develop, optimize, and maintain scalable data pipelines for structured, semi structured, and unstructured data,
- Monitor, troubleshoot, support and resolve any issues with data pipelines and data availability,
- Automate ingestion, transformation, and distribution workflows using orchestration tools,
- Create and maintain metadata catalogs, data lineage and feature stores,
- Collaborate closely with cross-functional teams and business stakeholders to understand data requirements and deliver efficient technical solutions,
- Evaluate and adopt new tools and technologies to improve platform performance, cost management and engineering practices,
- Follow best-in-class development, testing, and documentation standards, especially also using CI/CD pipelines,
- Apply and maintain data quality rules ensuring accuracy, completeness, and consistency across pipelines.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical field,
- 3+ years of hands-on experience in data engineering or a similar role,
- Very good knowledge of English (written and spoken),
- Strong experience with:
- Data processing frameworks: Apache Spark, Snowflake or Databricks,- Data storage technologies: Lakehouse/Delta Lake, data lakes,- Programming languages: Python, SQL.
- Solid understanding of data modeling, ETL/ELT, and data warehousing principles,
- Experience with orchestration tools (e.g., Airflow, Prefect),
- Familiarity with cloud platforms (preferably Azure),
- Experience with metadata management tools,
- Strong analytical and problem solving skills,
- Ability to work collaboratively in a cross-functional environment.
- Contract of employment [umowa o pracę], we are looking for a long term cooperation📝,
- Annual reward,
- Flexible working hours,
- Hybrid work model🏡,
- A diverse and inclusive workplace.
- Festive benefits paid in April and December💸,
- Medical care with basic dental package (Medicover), with possibility to extend to Damian Medical Center?,
- Possibility to extend medical care to family members,
- Life insurance with possible extended scope,
- Sports card (Medicover),
- Language courses,
- A vast training offer to support your development,
- Wellbeing activities, CSR, with space for your initiatives*
- Discounts for meals and special offers at Platan Business Park.
- CV selection – we contact selected candidates
- Phone screening with a recruiter (approx. 15 min)
- Initial interview with the Manager and Recruiter (video conference, approx. 1 hour)
- F2F meeting at the office with the Manager (approx. 1 hour)
정밀함을 우선시하는 분들에게 Mettler Toledo는 바로 귀하에게 적합한 곳입니다.
직무 참조 번호
선호하는 지역
고용형태
고용 주체