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Senior Data Engineer



  • Investigates operational requirements, problems, and opportunities, seeking effective business solutions through improvements in automated and non-automated components of new or changed systems and processes;
  • Assists in the analysis of stakeholder objectives, and the underlying issues arising from investigations into business requirements and problems, and identifies options for consideration;
  • Work closely with the Data Analyst/Data Scientist in order to understand evolving needs and define the data processing flow or interactive reports;
  • Discuss with the stakeholders from the other teams in order to have a better understanding about how data flows are used within the existing environment;
  • Propose solutions for the cloud-based architecture and deployment flow;
  • Design and build processes, data transformation and metadata that will meet business requirements and platform needs;
  • Design and propose solutions for the Relational and Dimensional Model based on platform capabilities;
  • Proficient in develop, maintain, test and evaluate big data solutions;
  • Focus on production status and data quality of the data environment;
  • Pioneer initiatives around data quality, integrity and security;
  • Strong analytic skills related to working with structured and unstructured data sets;
  • Team oriented attitude and the ability to work well with others in order to achieve a common goal;
  • Open to working in an agile environment as part of a scrum team;
  • Having a proactive attitude towards solving problems.


Qualifications and Experience

  • Proficient in SDLC (Planned Iterative, Agile);
  • Proficient in Power BI or Python / PySql;
  • Microsoft stack experience;
  • Good SQL (T-SQL desired);
  • Excellent spoken and written English language skills;
  • Solid understanding of programming languages;
  • Solid knowledge of big data technologies.

Nice to have:

  • Certified IIBA CBAP, PSPO, PSM, RPA, or ITIL;
  • Cloud experience;
  • CI/CD experience in Azure Cloud;
  • Experience in large international projects working with multicultural teams;
  • Experience working onshore, offshore, nearshore and on site with co-located and distributed teams.


Additional Information

  • Possibility to work together with teams from other countries; 
  • Supportive, friendly and healthy work environment in an international company;
  • Continuous learning opportunities (coaching and on the job learning, trainings, certifications, conferences);
  • Private health insurance;
  • Social and sport benefits, foreign language courses;
  • Flexible working hours;
  • Endava referral bonus.

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