Data Engineer (Pyspark, Apache Airflow)
Your new company
A great opportunity awaits for a Data Engineer to join a collaborative, international team working on scalable data platforms and advanced analytics solutions. This role is ideal for someone with strong technical skills in data pipeline development, ETL processes, and modern data engineering tools, who enjoys solving complex data challenges in a dynamic environment.
Your new role
Collaborate with cross-functional teams to translate business needs into scalable data solutionsEnsure data quality, integrity, and governance through best practices
Support and enhance data platforms, databases, and data warehouses
Troubleshoot and resolve issues in real-time and batch data pipelines
What you'll need to succeed
3–5 years of hands-on experience as a Data EngineerProficient in PySpark and Apache Airflow
Experience with Kubernetes and Data Build Tool (DBT)
Solid knowledge of Oracle, PL/SQL, Unix, and Docker
Familiarity with GitHub Actions and JFrog
Strong troubleshooting skills and experience with data pipeline issues
Experience with ETL processes and data integration workflows
What you'll get in return
Long-term, stable career opportunity in a global tech environmentMarket-leading private healthcare package
Extensive training and self-development opportunities
Clear vertical and horizontal career progression paths
Friendly, inclusive workplace with modern office spaces and relaxation areas
Company events, hobby clubs, and wellness initiatives
Competitive and attractive compensation package
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
- Részletes információk az állásajánlatról
Vállalat: HAYS Hely: Budapest
Budapest, BudapestMunkaviszony: Permanent Hozzáadva: 9. 7. 2025
Aktív álláslehetőségek
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