We are looking for an experienced Senior Data Engineer to join our Data a Analytics team. You will play a key role in building a newly established internal data platform and take ownership of a specific data domain. Your work will include developing modern data products, leading smaller initiatives, and partnering with both business and IT stakeholders to shape data solutions.You will work on a modern stack built on Databricks and have a significant impact on the evolution of our data architecture and overall data culture across the company

Popis pozice:

• Design and develop data products across the entire lifecycle—from ingestion to the consumption layer (business-ready data).
• Build and maintain data ingestion / ETL pipelines.
• Participate in the design, development, and maintenance of Data Marts for analytical and reporting needs.
• Contribute to the migration of data from the current data warehouse to the new data platform.
• Take responsibility for managing smaller data projects and initiatives, ensuring timely delivery, quality, and alignment with business priorities.
• Manage and develop your assigned data domain, including understanding the related business area and relevant data structures.
• Collaborate closely with data analysts, data scientists, and business partners to design effective data solutions.
• Communicate with stakeholders to understand requirements and ensure alignment with business goals.
• Mentor junior data engineers and promote best practices across the team.
• Perform code reviews to ensure high-quality implementation.

Profil kandidáta:

• Hands-on experience delivering data products, BI solutions, or developing on Databricks or a similar modern data platform.
• Advanced SQL skills (query optimization, complex data work, performance tuning).
• Basic to intermediate Python skills for data processing and automation.
• Understanding of Business Intelligence, data warehousing, star-schema, dimensional modeling, and OLAP concepts.
• Practical experience designing and implementing Data Marts.
• Knowledge of CI/CD, version control, DevOps principles, automated testing, and deployments.
• Experience with orchestration and data transformation tools (e.g., Airflow, Azure Data Factory, etc.).
• Understanding of lakehouse architectures and modern data platform principles.
• Knowledge of data governance and metadata management.

• Experience using SAP systems as data sources (SAP BW, SAP HANA, or knowledge of SAP data structures).
• Experience with migrating data warehouses or legacy systems.
• Advanced skills in Python, PySpark, streaming technologies, or Kafka.

• Proven ability to lead smaller projects or data deliveries for a specific domain.
• Ability to communicate technical concepts in business-friendly language.
• Strong analytical thinking and problem-solving skills.
• Effective communication and teamwork.
• Proactive mindset with a drive to initiate improvements.
• Flexibility and willingness to learn new technologies and trends.

Nabízíme:

• 5 weeks of vacation, giving you plenty of time to recharge and enjoy life outside of work.
• Flexible working hours and home office options, supporting a healthy work-life balance and personal productivity.
• Extra paid leave for important life events, going beyond legal requirements to support you during key moments.
• Financial contributions to your pension plan and meal vouchers, helping you plan for the future and enjoy everyday benefits.
• A stable and supportive international work environment, with opportunities for career growth, professional development, and long-term collaboration.

Interested? Let’s connect and talk more about the role!