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Wallet icon Coin icon Rate 6 600 € - 7 600 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Energy
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12-48 months with the possibility of extension
Period of cooperation 01.05.2026 - 31.10.2028
Start date 01.05.2026 ASAP or by agreement
Technology
  • SQL
  • SCRUM
  • Apache Spark
  • Python
  • Azure Data Lake
  • Azure Databricks
  • PySpark
Languages
  • English flag English - active, B2/C1/C2
  • Slovak or Czech flag Slovak or Czech - native

Project description

  • design and development of a modern Lakehouse architecture on a long-term project in the energy sector
  • development, tuning, and optimization of complex data pipelines in a Spark environment on large data volumes (≥ 1 TB, ≥ 500 million rows)
  • tuning and optimizing the performance of Delta Lake tables with data volumes exceeding 1 TB
  • optimization of configuration and utilization of Databricks clusters to maximize the efficiency of computing resources
  • design and implementation of transformation services and data flows
  • automation, development, and support of backend applications combining data from multiple domains and systems
  • collaboration with:
    • engineers, analysts, product owners, and other stakeholders in designing solutions with high added value
    • lead engineer on defining the target architecture of products
  • presentation of technical designs and communication of solutions to both technical and non-technical audiences
  • application of principles of quality software engineering (code quality, performance, maintainability)
  • mentoring junior colleagues and conducting peer code reviews
     
  • collaboration possible in a hybrid ON-SITE mode min. 5-15% [Prague, Czech Republic] + REMOTE (or based on further agreement with the client)
  • final remuneration depends on the candidate's experience and the course of the selection process

Project requirements

  • min. 3 years of demonstrable experience in Spark / data / software engineering
  • min. 2 years of experience with tuning Azure Delta Lake on tables with volumes greater than 1 TB
  • min.  2 years of experience on at least 2 projects which included:
    • tuning and optimizing Spark pipelines on tables with at least 500 million rows
    • processing data volumes of at least 1 TB
    • optimizing cluster settings for maximum utilization of computing resources
  • min. 1 year of experience with Unity Catalog
  • advanced knowledge:
    • Python programming language
    • SQL language for data querying and manipulation
    • Spark framework for designing and optimizing complex data pipelines
  • experience with:
    • Scrum/Agile development methodologies
    • working in an international distributed team
  • ability to clearly communicate technical topics to a non-technical audience
     
  • knowledge of Slovak or Czech language (native speaker)
  • active knowledge of English language at a communicative level (min. B2)
  • min. Bachelor's degree or equivalent in Computer Science, Data Science, or a similar discipline
     
  • strong analytical and organizational skills
  • ability to effectively solve problems
  • independence and willingness to learn
  • strong interpersonal and communication skills (written and verbal)
  • team player
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