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Senior Data Engineer @ N-iX
Job summary
A technology consulting company in Wrocław, Poland is looking for a Senior/Middle Data Engineer to support data migration from legacy SQL Server to a cloud-based Snowflake environment. The ideal candidate has strong SQL and cloud technology skills, particularly with Snowflake and AWS S3. This role involves building data pipelines, refactoring ETL processes, and working collaboratively within an international team. Flexible working hours and remote work options are available.
Benefits
Qualifications
- Experience with cloud data warehouse technologies, including Snowflake and AWS S3.
- Solid SQL skills; experience migrating legacy environments to cloud platforms.
- Proficiency in Python for data pipeline development and automation.
Responsibilities
- Build and modify data pipelines to migrate data from SQL Server and other databases to AWS S3 and Snowflake.
- Refactor legacy ETL jobs for use in cloud environments.
- Participate in QA, testing, deployment, and post‑migration validation.
Skills
Tools
As a Senior/Middle Data Engineer, you will support the migration of legacy on‑premises SQL Server data warehouse to a cloud‑based Snowflake environment. The project involves integrating various data sources, refactoring ETL processes, and ensuring efficient, reliable data movement for analytics and reporting.
- Build and modify data pipelines to migrate data from SQL Server and other databases (Azure SQL, Oracle, Aurora) to AWS S3 and Snowflake.
- Refactor legacy ETL jobs (SSIS, Transact‑SQL) for use in cloud environments.
- Implement data transformations and staging using dbt and/or similar tools.
- Optimize the performance and costs of cloud data processing and storage.
- Work collaboratively with client’s and N-iX engineers, ensuring smooth handoff and documentation.
- Participate in QA, testing, deployment, and post‑migration validation.
- Experience with cloud data warehouse technologies, including Snowflake and AWS S3.
- Solid SQL skills; experience migrating legacy environments to cloud platforms.
- Familiarity with ETL frameworks and tools (preferably SSIS, dbt).
- Proficiency in Python for data pipeline development and automation.
- Strong documentation and communication skills; able to work in cross‑functional teams.
- Background working with varied database platforms (SQL Server, Oracle, PostgreSQL, MySQL).
- Knowledge of reporting platforms such as Looker is a plus.
- Prior experience in large‑scale data migration projects.
- Flexible working hours and remote work possibility.
- English classes.
- Active tech community.
- Training budget.
- International team.
- Mentoring program.
- Compensation of certifications.
- Free coffee and kitchen.
- Modern office building.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.