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Senior Data Engineer
36 minutes ago
Empower global brands with data that drives real-world impact.
DataOrbis, part of Smollan's Data & Technology cluster, delivers scalable data and analytics solutions to some of the world's leading FMCG brands. From retail execution to supply chain insights, our mission is to turn data into action at the shelf, across markets.
We are growing our engineering capability in Slovenia and looking for a Senior Data Engineer to join our dynamic, cross-functional team. This role offers a unique opportunity to work at the intersection of big data, retail tech, and global expansion — all while being part of a strategic hub driving innovation for Europe and beyond.
What You'll Do:
- Design, build and scale cloud-native data pipelines using Databricks, Delta Lake, Microsoft Fabric, Google BigQuery and the broader Azure or GCP ecosystem.
- Collaborate with product owners, analysts, and data scientists to deliver end-to-end solutions for internal and client-facing platforms.
- Own the development and maintenance of lakehouses, data lakes, data warehouses, and streaming pipelines, ensuring performance, governance, and scalability.
- Engineer and optimize data platforms, supporting both batch and real-time use cases across multiple geographies.
- Drive best practices in data engineering, including CI/CD, data quality, lineage, and observability.
- Lead technical discussions, mentor junior engineers, and shape the future of our data architecture strategy.
- Contribute to the evaluation and adoption of emerging technologies.
- Ensure data governance, observability, and performance across all layers of the stack.
About You:
- 5+ years of experience in data engineering or software development with a strong data focus.
- Ideally deep expertise with Databricks (including Spark, Delta Lake, and the Databricks Lakehouse platform).
- Proficiency with distributed processing frameworks such as Apache Spark and data orchestration tools such as Airflow, Dataflow, or Databricks Workflows.
- Proficient in Python and SQL for data transformation and automation.
- Strong experience with cloud platforms, Azure or GCP.
- Experience using dbt (Data Build Tool) for developing, testing, and deploying modular data transformation workflows.
- Experience with MS SQL and related SQL packages, including developing queries, procedures, managing databases, optimizing performance, and working with a variety of SQL-based tools to support data processing and analysis.
- Knowledge of data modeling, data governance, and distributed systems.
- Ability to design highly scalable ETL/ELT pipelines, including streaming and micro-batch architectures.
- Passion for clean, maintainable code and solid understanding of DevOps, with CI/CD pipelines and Git-based workflows.
- A growth mindset and ability to thrive in a fast-moving, collaborative, and purpose-driven environment.
Why Join DataOrbis in Slovenia?
- Be part of a high-impact, European growth initiative, shaping how we serve clients across the continent and beyond.
- Collaborate across brands, geographies, and technologies with some of the most ambitious minds in data.
- Work within an organization that values innovation, simplicity, and integration at its core.
- Flexible work arrangements, competitive salary, international exposure, and a clear growth trajectory.
