Job description

Your responsibilities:

• Work as a part of cross-skilled team to understand, design and build data pipelines in order to maximize value of data in the organization

• Make sure data is well structured, described by means of metadata and made readily available to the whole organization, treating data as a product - with machine/deep learning as a next step to build insights out of it

• Research and refine architecture, technology stack and whatever else is needed to achieve the business objectives in the best possible way

• Help define standards and good practices in regards to Data Architecture

We are looking for you, if you have:

• Experienced in designing conceptual, logical and physical data models

• Understands traditional relational data modeling

• Understands Data Vault 2.0 methodology

• Understands data processing (ETL/ELT) and harmonization (master data enhancements) on structured and unstructured sources

• Hands on experience in data engineering

• Knows data governance and data catalog best practices

• Understands DBT

• Understands GIT

• Excellent communication skills

Nice-to-have experience and qualifications:

• Experienced in Data Vault 2.0 modeling (being certified is huge plus)

• Experienced in DBT

• Knows the DIA Commercial Data landscape

• Understands the fundamentals of distributed data warehousing

We offer:

• Interesting and challenging projects

• Flexible working hours

• Friendly, non-corporate atmosphere

• Stable working conditions (CoE or B2B)

• Possibility for self-development and promotion in the company

• Rich benefits package

• Possibility to work remotely

We reserve the right to contact the selected candidates.