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Senior Data Engineer



  • Designs, codes, tests, corrects, and documents simple programs and assists in the implementation of software which forms part of a properly engineered information or communications system
  • Work along with the other members of Data team to define the data processing and validation flow
  • Design and develop data flows to support large data sets and meet complex business requirements
  • Build processes which support data transformation, using different data structures, metadata, or other dependencies
  • Propose and develops solutions for the Relational and Dimensional Model based on the technical and business requirements
  • Implement or optimize solutions based on the requirements, for both on premise and in Cloud services
  • Monitor and maintain the data flows in optimal condition
  • Propose solutions that can improve the data flows by automation of manual processes, data validation etc.


Qualifications and Experience

  • Able to interpret and validate data models
  • Has the ability to work with structured or unstructured data
  • Strong analytic skills and good Data visualization technics
  • 3+ years’ experience within Data related projects (Oracle suite products), prevailing Data migration, Service integration, Data Hub improvement and governance
  • RDBMS: MS SQL/Oracle/Postgres
  • Good knowledge of OLTP, Datawarehouse and Data Lakes concepts and system architecture
  • Procedural and functional DB development: T/PL - SQL, shell
  • Data flow integration tools: SSIS/ Azure Data Factory
  • Code versioning: Git / Bitbucket / Liquibase /
  • Performance tunning


Additional Information

Would be a plus:

  • Azure Cloud, especially data related services
  • SOAP, REST, XSLT knowledge
  • Python, C#
  • Data Visualization/Reporting: Power BI / Tableau / VBA / Excel
  • Benefits:

  • International exposure, working with colleagues and customers across different countries
  • Get experience in different business areas (Finance, Digital Media, Insurance, Telecom, Payment, Banking, etc.)
  • Trainings/certifications and career development
  • Access to corporate library and online learning tools
  • Endava referral bonus
  • Additional Health insurance, sport compensation, flexible work hours, loyalty programs, English courses

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