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Data Engineer


Data Engineer


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competitive salary


Engineering, Data Analysis / Data Science


in-office, flexible

your profile

  • Work experience in database engineering, business intelligence or business analytics

  • Experience in writing complex, highly-optimised SQL queries across large sets

  • Experience in programming languages like Java, Python, C#, Node etc.

  • Demonstrated strength in modelling, development, and warehousing

  • Experience in usage of cloud infrastructure services (Azure, AWS, Google Cloud ...)

Personality, mindset and working practice:​

  • Strong analytical skills as well as entrepreneurial thinking and acting

  • Independent

  • Structured and goal-oriented

  • Abstraction and structuring ability of complex technical structures

  • Good communication and team skills

  • High self-motivation​

Extra (bonus) qualifications:

  • Experience with columnar storage, OLAP data structures and warehouse-specific storage models like Star and Snowflake schemas

  • Advanced knowledge of data modelling, statistical computing and data visualisation in tools/languages such as Python, Tableau and R

  • Experience with analytical tools, programs and CDPs such as Rudderstack, dbt, Airbyte, Fivetrain, Segment and Snowplow

  • Experience with data warehouse environments such as BigQuery, Redshift, Snowflake and PostgreSQL

  • Knowledge of common BI reporting tools such as Tableau, Metabase, Google Data Studio, PowerBI, Qlik, SAP Business Object...

about the company

GenePlanet is an innovative, high-tech company based in Ljubljana, present in over than 30 countries. Our main activity is research and development of products from the field of biotechnology, where we specialise in genetic testing and analyses in the field of human genetics.

diversity statement

"Check out our website and our values!"

is looking for you!

your area of responsibility

  • Build complex ELT pipelines with multiple disconnected sources and noisy data, build out new API integrations and support continuing increases in data volume and complexity

  • Identify and build warehouse-optimized denormalized datasets

  • Implement advanced transformations in SQL and dbt

  • Define key performance indicators, identify the correct data sources and prepare data models available for BI reporting tools (PowerBI, Metabase) to gain product and business insights such as customer acquisition and behaviour

  • Define, document and refine web tracking concepts (for hybrid web application) for our product teams in close collaboration with app developers and data analysts

  • Work with stakeholders including the Executive, Product, Marketing and R&D teams to assist with data-related technical issues, support their data infrastructure needs and get relevant data to them quicker while maintaining the data reliability and quality

  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

the benefits

  • Above-standard and modern work environment that offers creativity and relaxation (use of the slide at your own risk 😉)

  • Dynamic work in a young, creative and promising team

  • Facing challenges that enable growth on a personal and professional level

  • Our kitchen is always full of fresh fruit, coffee and other beverages and snacks that provide refreshment during work​


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