Live opening · Posted 5 days ago
Data Engineer
Ergomed · Zagreb, , Croatia
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At a glance
The key details from the original listing.
CompanyErgomed
LocationZagreb, , Croatia
Job typeFull-time
Work modeHybrid
Source
Smartrecruiters
Listed5 days ago
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About the role
Description supplied by the original job listing.
The Data Engineer will build, manage, and optimize data integration pipelines and infrastructure to drive enterprise-wide analytics and business intelligence initiatives. Working closely with IT and key business stakeholders, they will operationalize reliable data solutions while ensuring strict compliance with data governance, security, and quality standards.
What you will do:
Design, build, and optimize scalable data integration pipelines from various sources (cloud, on-premise, APIs).
Transform and cleanse raw data into usable formats for advanced analytics and business intelligence.
Automate manual data preparation tasks using modern data architectures and tools.
Monitor system performance, troubleshoot bottlenecks, and optimize workflows for maximum efficiency.
Ensure strict data integrity by implementing robust quality checks and governance standards.
Partner with data scientists and analysts to optimize ML models and empower business stakeholders to effectively consume data.
Education & Experience:
Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field (Master’s degree or equivalent experience preferred).
Proven experience in data management (data integration, modeling, optimization, and quality) and developing analytical platforms that drive concrete business value.
Strong background collaborating with cross-functional teams and business stakeholders on enterprise data initiatives.
Technical Skills:
Data Architecture: Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP engines.
Database & Pipeline Technologies: Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, and Apache tools (Kafka, Airflow, Spark).
Analytics & BI: Intermediate experience with BI tools (PowerBI, Tableau, Looker, etc.) and building data solutions to support AI, ML, and BI initiatives.
Data Science Tools: Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or similar tools.
Soft Skills:
Expert problem-solving and debugging skills to resolve issues in complex data systems.
Excellent communication skills with the ability to translate complex technical concepts for executive, business, IT, and quantitative stakeholders.
A creative, energetic self-starter with high ethical standards and a strong commitment to regulatory compliance.
Employment type
Full-time
Work arrangement
Hybrid
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