Mid-level Data Engineer (m/f)

Zagreb, Hrvatska (Hybrid)

Telecommunications is one of the most complex IT environments, characterized by interconnected systems, massive data volumes, and diverse use cases. As part of our digital transformation, we are modernizing our data platforms.

Currently, our data is stored and processed on Cloudera (HDFS, Hive, Impala) and integrated into the Enterprise Data Warehouse (DWH) with Informatica BDM, while SAP Business Objects and Microsoft Power BI support reporting and analytics. In the next phase, we are moving towards Google Cloud Platform (GCP) to ensure scalability, reliability, and advanced analytics capabilities.

We are looking for a Mid-level Data Engineer (DWH/ETL) who will design, build, and optimize robust data pipelines and architectures using ETL tools, SQL, and modern data engineering practices.

What does a Data Engineer do in our company?

  • Design and implement robust ETL pipelines from various data sources using Informatica BDM
  • Optimize ETL processes and database queries to improve performance and scalability
  • Ensure data quality, consistency, and reliability across the DWH
  • Create and maintain technical documentation for ETL processes and data models
  • Collaborate with analytics and business teams to support reporting and advanced analytics use cases
  • Contribute to ongoing modernization initiatives, including migration towards Google Cloud Platform (GCP)
  • Follow and promote best practices in data engineering and architecture

You are a good candidate if you have:

  • Bachelor’s degree in a STEM field or equivalent practical experience
  • 3+ years of experience as a Data Engineer in DWH/ETL environments
  • Strong SQL knowledge with both relational databases (Oracle, PostgreSQL) and analytical platforms (Hive, Impala)
  • Proficiency with Oracle and PL/SQL
  • Hands-on experience with Informatica BDM or other enterprise ETL tools
  • Understanding of Data Warehousing concepts and performance tuning

Nice-to-Have Skills:

  • Familiarity with Cloudera Data Platform (HDFS, Hive, Impala)
  • Experience with SAP Business Objects and Microsoft Power BI for reporting integration
  • Familiarity with Kafka and Spark for streaming/big data processing
  • Experience with orchestrators such as Airflow
  • Knowledge of Google Cloud Platform (BigQuery, Dataflow, etc.)
  • Understanding of Data Mesh and Data Contracts concepts
  • Background in telecommunications or working with large-scale datasets

What's in it for you?

  • Opportunity to work for a leading telecom company with cutting-edge services and technologies
  • A friendly and stimulating work environment within a team of skilled and motivated professionals
  • Exposure to the latest technologies and the chance to tackle complex and engaging challenges
  • Annual bonuses and recognition for outstanding contributions
  • Support for professional development, including certifications, conferences, courses, and online training
  • Additional health insurance
  • Subsidized MultiSport card
  • Childcare allowance subsidized for each child
  • Flexibility in working hours, with a hybrid work model that combines remote work and on-site collaboration

Apply by 1.10.2025.!

Mid-level Data Engineer (m/f)

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Mid-level Data Engineer (m/f)

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