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Senior Data Designer

  • Belgrado
  • Breslavia
  • Cluj-Napoca
  • Cracovia
  • Dnipró
  • Járkov
  • Kyiv
  • Lárnaca
  • Leópolis
  • Lodz
  • Lublinie
  • Odesa
  • Remote.Bulgaria
  • Remote.Poland
  • Riga
  • Sofia
  • Varna
  • Varsovia
Equipo pequeño (1-10 personas)Hot vacancy

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Position overview

Accountable for creating high quality Enterprise Data Warehouse data designs. This involves understanding and documenting the detail on where to source data, how the source data will be ingested into the data platform, data mappings and data modelling. The data designs include defining the details of any required data harmonization, calculations, derivations and transformation logic.

The role involves occasional business trips to the office in Krakow, typically once a month or once a quarter, depending on team needs.

Responsibilities

  • Design and document ingestions from existing sources.
  • Collaborate with Principal Data Designer to design and document ingestions from new sources.
  • Collaborate with stakeholders and data platform teams to create designs that meet or exceed requirements, comply with principles, with supporting documentation delivered accurately and on time.
  • Keep up to date with the data design principles and be able to explain their benefit and relevance to others.
  • Identify potential new data design principles.
  • Contribute to improvements to ways of working and documentation templates.
  • Peer review colleagues designs to ensure that they meet the requirements and principles.
  • Support other workstreams by picking up additional design work when capacity allows.

Requirements

  • Strong Data modelling for enterprise data warehouses.
  • Works with existing network to expand knowledge.
  • Gathers and documents relevant documentation beyond guidance.
  • Understands deliverables and analyses available information to make appropriate decisions.
  • Works collaboratively in agile development process.
  • Engages with key stakeholders inside and outside of own area and experts in the wider team to make good design decisions.
  • Strong attention to detail.
  • Supports the wider design team by considering other perspectives and constructively challenging decisions during design review sessions.
  • Communicates clearly and effectively, in a style which elicits trust.
  • Proactively works on own development, learning about areas outside own role.

Nice to have

  • Querying and transforming data using SQL, Python / PySpark.
  • Conducting detailed data profiling and analysis.
  • Modelling data into a complex facts and dimensions, identifying suitable mappings, aggregations and snapshot tables where appropriate.
  • Identifying complex data quality rules, considering alternative sources and volumetric analysis.
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