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

Must have:

  • Data Vault
  • Veeva Vault
  • ETL
  • Python

Nice-to-have:

  • R

Join us as a Data Engineer! You will get a chance to work on a project for our client from the pharmaceutical industry.

In this role, you will focus on overseeing information engineering and corresponding data architecture to effectively and efficiently deliver information to enable all business needs through systems, databases, applications, and other technologies.

Don't miss this opportunity and apply!

Your role

  • Contributing to the implementation of the best practices in data architecture and data management
  • Creating a data-driven backbone, powering cutting-edge digital solutions
  • Being accountable for the shape of the physical data model of the platform's data warehouse and the quality of its data exposed to the business users
  • Cooperating with Business Analysts and Information Architects to define logical realization of various business requirements around the data
  • Translating logical data models into physical ones using expertise in Data Vault 2.0 methodology
  • Supporting implementation by providing specific technical requirements to the Analytics Engineering team
  • Reviewing the code
  • Suggesting changes that optimize the technical realization of specific business demands
  • Playing a key role in driving the digital transformation of the organization

Your skills
  • At least 4 years of experience with a programming language focused on data pipelines, e.g. Python or R
  • Minimum 3 years of previous work in 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 with emphasis on data pipelines (Airflow, Glue, Dataflow, but also other smart solutions for 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
  • Familiarity with Data Vault 2.0 methodology is a must
  • Excellent knowledge of Git, Gitflow, and DevOps tools (e.g. Docker, Bamboo, Jenkins, Terraform)

Job no. 230809-KH61N

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