Possible locations
  • Bialystok
  • Bydgoszcz
  • Czestochowa
  • Gdansk
  • Gliwice
  • Katowice
  • Kielce
  • Cracow
  • Lublin
  • Lodz
  • Pila
  • Poznan
  • Rzeszow
  • Szczecin
  • Torun
  • Warsaw
  • Wroclaw
Technologies & tools

Must have:

  • Python
  • AWS
  • Airflow
  • Kafka

Nice-to-have:

  • R

We are looking for a Data Engineer to join our project for one of the largest pharmaceutical companies. 

In this role, you will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use cases.

Join us and take on new challenges!

Your role

  • Designing, developing, and maintaining scalable and efficient data pipelines and systems
  • Utilizing Airflow/Kafka and event-driven architecture to build efficient data pipelines that handle large amounts of data in real-time
  • Working collaboratively with AI scientists and data analysts to gather and analyze business requirements and ensure data solutions align with business needs
  • Developing and maintaining data warehouse and ETL processes, ensuring data quality and integrity
  • Implementing and maintaining data security, data privacy, and compliance measures
  • Performing data analysis, troubleshooting data issues, and providing technical support to end-users
  • Continuously monitoring and optimizing data pipelines and systems to ensure optimal performance and scalability

Your skills
  • At least 4 years of experience with a programming language focused on data pipelines, e.g. Python or R
  • More than 3 years of previous work on maintaining data pipelines
  • At least 3 of experience with data processing (ETL/ELT) and harmonization (master data enhancements) on structured and unstructured sources
  • Minimum 3 years of experience with cloud technologies (preferably AWS) with emphasis on data pipelines (Airflow, Glue, Dataflow - but also other smart solutions of handling data in the cloud - elastic, redshift, big query, lambda, s3, EBS, etc.)
  • Skills in designing conceptual, logical, and physical data models
  • Understanding of traditional relational data modeling
  • Excellent knowledge of Git, Gitflow, and DevOps tools (e.g. Docker, Bamboo, Jenkins, Terraform)

Job no. 240312-IU6S2

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