Senior Data Engineer

Zagreb, Rijeka, Osijek, Croatia (Hybrid)

Do you want to join a growing team of top professionals who invest time and effort into teaching, career growth, and cultivating employees into the next generation of IT experts? You've come to the right place. Span is an international IT company with over 30 years of experience in developing and delivering advanced technology solutions. Span is recognized in the market as a multi-specialist with a business focus on three key strategic areas: cloud, cybersecurity, and artificial intelligence. We're constantly improving, advancing, and adopting new trends, new skills, and new expertise, giving our employees virtually endless opportunities for professional development. 

The Software & AI Solutions business unit gathers over 140 experts and is one of Span's key pillars. We focus on developing advanced software solutions, applying artificial intelligence, and processing and analyzing data to create real business value for our clients. We work across various industries and deliver solutions that make a tangible difference, both for our external clients and our internal needs. 

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable and efficient systems that support complex data processing and business needs. You will leverage your deep technical expertise to lead challenging projects, collaborate with cross-functional teams, and drive the adoption of modern technologies and best practices. 



What you'll do:

  • Design, implement and operate stable and scalable solutions to flow data from diverse data sources into the database and into end-user facing application
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Optimize data performance to enable fast processing and analysis of large datasets
  • Ensure data quality by designing and implementing validation systems
  • Design automated processes for in-depth analysis databases
  • Drive critical technical principles like security, reusability, efficiency, and scalability
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Deploy models to production, monitor their performance, and continuously improve them based on new data and changes
  • Collaborate closely with other teams to ensure data accessibility across the organization
  • Mentor junior team members and support knowledge sharing across departments


We could be a perfect fit if you are:

  • approaching activities in a planned and organized manner, focused on essentials and working quickly and efficiently
  • showing a strong desire for constant career development and gaining experience
  • inclined to innovate, always trying out different approaches and looking for new, better and more efficient ways of working
  • appreciating and accepting differences, respecting other people and their opinions and ideas and readily giving them yourself


Technical skills and experience required:

  • 5+ years of experience working with SQL/PLSQL/TSQL, database design and modeling, building ETL/ELT pipelines (batch of stream processing)
  • Working with data integration tools (i.e. Data Factory, Informatica, OWB, ODI, SSIS, SAS DI Studio, IBM DataStage)
  • Knowledge of professional software engineering practices, build processes, testing, and operations
  • Ability to analyze existing tools and databases and provide software solution recommendations    
  • Experience building data products incrementally and integrating and managing datasets from multiple sources
  • Experience in methodologies and processes for managing large-scale databases   
  • Effective analytical, troubleshooting and problem-solving skills
  • BS in Mathematics, Computer Science, Information Management or Statistics
  • Knowledge of Python    


Skills that will bring you extra points:

  • Experience with Azure technologies (Azure Synapse, Azure Data Factory, Azure Data lake, Azure Databricks) 
  • Experience with Snowflake Data Platform


What's in it for you:

  • Competitive salary according to your experience
  • A business phone of your choice
  • InHouse testing center- we are giving you an option of gaining professional certificates
  • Mentor - no matter how much experience you've got, we will provide you with an adequate mentor
  • Regular feedback on your performance and personalized career development plan
  • Possibility to earn different types of bonuses
  • Subvention of Multisport card or PassSport - not only brain workout is important
  • Minimum of 25 vacation days
  • Complete health checks- adjusted for men and women
  • Psychological counseling- we care about your well-being
  • Lunch and transportation compensations
  • Benefits for children of employees


When you’re ready, click the Apply button below – even if you don’t check every single box. We are looking forward to meeting you! 😊

Senior Data Engineer

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Senior Data Engineer

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