Data Engineer

Industry: Fintech

Work model: hybrid (3 days/week working from the Warsaw office)

Contract’s length: B2B, long-term cooperation

Project language: English

Start: ASAP / 1 month notice period

1.  SQL / Redshift and/or PySpark: Essential for building data pipelines and transformations at scale

2.  Git: Required for version control and collaboration

3.  Apache Airflow, Apache Flink, AWS Lambda, AWS S3, Bigquery, Kafka Streams, Redshift, Web Scraping: These are part of the skills taxonomy for data engineering

4.  Experience with AWS, EMR/DLT: Beneficial for handling large-scale data processing

5.  Building Data Transformations and Pipelines: Ability to handle large-scale data transformations

6.  Aligning Business Needs to Metrics: Translating business requirements into concrete metrics

1.  Experience in Data Engineering: Prior experience in building data pipelines and transformations is advantageous

2.  Experience with Data Mesh and Self-Service Tools: Useful for developing scalable data platforms (nice to have)

WE OFFER:

• Challenging international projects in a Scandinavian business culture.
• Long-term cooperation.
• Transparently built relations based on trust and fair play.
• Flexible working hours.
• Co-financed benefits: Medicover card, Multisport card.