Data Engineering Architect — ETL, Warehousing & BI

Softeq; Warszawa; On-site; PLN 120,000 - 240,000; Full time

Job summary

Softeq is seeking a Data Engineer to manage large data sets, prep data for ML pipelines, and optimize storage. You will build scalable data pipelines, write advanced SQL, and create dashboards for stakeholders.

Collaboration across engineering, product, and business units will be key to delivering robust data solutions. The ideal candidate has strong SQL, Python or R skills, experience with Airflow/dbt/NiFi, and familiarity with cloud data platforms and BI tools.

Qualifications

• Proven SQL proficiency and ability to write optimized queries.
• Experience with large-scale data environments and data warehousing.
• Programming in Python or R for data processing.
• Familiarity with ETL tools and BI platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Write complex SQL queries for analytics from multiple sources.
• Build dashboards and reports for business insights.
• Collaborate with engineering, product, and business units.
• Perform exploratory data analysis to uncover trends.
• Ensure data quality and governance practices.
• Develop automation scripts to streamline workflows.
• Support data infrastructure improvements and document data models.

Skills

SQL proficiency

Data analysis

Python/R

ETL tooling

BI platforms

Data warehousing

Cloud platforms

Communication

Education

Bachelor's degree

Tools

Airflow

dbt

Apache NiFi

Tableau

Power BI

Looker

Job description

Softeq is seeking a Data Engineer to manage large data sets, prep data for ML pipelines, and optimize storage. You will build scalable data pipelines, write advanced SQL, and create dashboards for stakeholders.

Collaboration across engineering, product, and business units will be key to delivering robust data solutions. The ideal candidate has strong SQL, Python or R skills, experience with Airflow/dbt/NiFi, and familiarity with cloud data platforms and BI tools.