Data Engineer (Regular) | Aerospace Industry | 3-Month Project | ASAP Start
This mid-level data engineer role focuses on designing scalable Databricks/Spark pipelines for aerospace data processing in a 3-month Azure-based project, requiring hands-on ETL optimization and cross-team collaboration. The position emphasizes performance tuning and data integrity in a fast-paced, project-specific environment with immediate start requirements.
Skills required
About this role
Your responsibilities:
- Designing, developing, and maintaining data pipelines
- Building and optimizing ETL processes
- Processing and transforming large volumes of data
- Working with Databricks and Spark-based solutions
- Developing data processing scripts in Python
- Collaborating with technical and business teams
- Ensuring data quality and performance of the data platform
Tech stack:
- Azure PaaS (Data Factory, SQL Database, Data Services)
- Databricks
- Spark
- Python
- SQL
- ETL
Qualifications
Requirements:
- Good knowledge of SQL
- Experience with Python programming
- Experience as a Data Engineer in data-focused projects
- Experience with Databricks
- Experience with Spark
- Understanding of Big Data processing tools and standards
- Experience with Azure data services will be an advantage
- Polish and English language skills at B2/C1 level
Additional Information
We will contact selected candidates only.
You choose the form of cooperation yourself – employment contract or B2B contract
We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:
https://inetum.whispli.com/speakup?locale=pl
