Data Engineer

We are seeking a Data Engineer to join our team and contribute to the development of a scalable and reliable data platform. In this role, you will design and maintain data architecture and pipelines that enable the transformation of raw data into high-quality datasets for reporting, analytics, and business decision-making.

You will collaborate closely with the Data Engineering team, analysts, and key stakeholders to ensure that data is accessible, accurate, and well-governed across the organization.

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain robust ELT/ETL pipelines. Contribute to the adoption of reproducible, version-controlled pipeline development practices.

• Data Modeling & Transformation: Develop and optimize data warehouse models to support analytics use cases, ensuring performance, scalability, and usability.

• Data Quality & Observability: Implement automated testing, monitoring, and data quality controls to identify and resolve issues proactively.

• Performance Optimization: Improve storage efficiency and query performance to support scalability and effective cloud cost management (FinOps).

• Collaboration & Stakeholder Partnership: Work with data analysts and business stakeholders to understand requirements and ensure timely and reliable data availability for reporting, analytics, and machine learning use cases.

Who we are looking for

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

• Experience working with SQL and Python in a data engineering or analytics environment.

• Familiarity with data warehousing concepts and ETL/ELT processes.

• Understanding of databases, data modeling, and schema design principles.

• Ability to collaborate effectively with both technical and non-technical stakeholders.

• Strong learning mindset and willingness to continuously develop technical and professional skills.

• Strong problem-solving skills with the ability to connect technical solutions to business needs.

Not required but a plus

• Experience with big data and data infrastructure tools such as Spark, Airflow, ClickHouse, and Trino.

• Familiarity with cloud platforms such as AWS or GCP.

• Understanding of machine learning concepts and/or exposure to MLOps practices.

We will try to create all the right conditions for you to work and rest comfortably

• Unlimited PTO

• Flexible working hours 

• Inter Polska Health Insurance and Life Insurance co-financing

• Worksmile Cafeteria Program (available after 2 months of employment), including co-financing for the Multisport card

• Mental health support–private therapy sessions (in Polish and English)

• B2B contract is also an option

• Employee Referral Program

• Buddy Program

• Corporate events

• Teambuilding

• Training, courses, conferences