Senior Data Engineer (m/f/d)

Are you ready to join us in a future full of energy?

We are E.ON Digital Dialog d.o.o., a member of the E.ON Group, one of Europe's largest energy companies with business areas in energy distribution networks and energy infrastructure solutions. With over 75,000 employees in 17 countries and around 50 million customers, we play a leading role in shaping a green, digital, and decentralized energy world.

At our location in Zagreb, we specialize in excellent customer service for E.ON customers in Germany. We are building a first-class service center with a focus on digitalization and innovation – join us and grow with us!

We are looking for a Senior Data Engineer (m/f/d).

The challenge

Bonus+ is an application to calculate the customer bonus for power and gas contracts sold to retail customers in Germany. It is used by our sales channel managers regularly. By calculating several types of Bonus values, Bonus+ enables our channel managers to make the right decision at the right time.

We are looking for new colleagues that will develop and operate this application, design, and develop APIs and work with the product owner to understand the requirements.

Your Responsabilities

• Develop and Maintain Data Pipelines: Design, build, and optimize robust ETL/ELT workflows using Azure Data Factory to ingest, transform, and load data from various sources into Snowflake.
• DBT Modeling and Data Cleaning: Write and maintain DBT models for data transformation, cleansing, and quality assurance to support analytics and reporting use cases.
• Database Management in Snowflake: Manage and optimize Snowflake data structures, including schema design and output table formats, ensuring performance and scalability.
• Operational Support and Issue Resolution: Monitor data workflows, identify and debug data issues, and implement fixes quickly to maintain reliable data delivery.
• Collaboration and Documentation: Work closely with data analysts, engineers, and stakeholders to gather requirements, document solutions, and ensure smooth knowledge transfer

Your Profile

• At least 3 years of experience in data engineering
• Strong experience with Azure Data Factory, Snowflake, and DBT.
• Proficiency in SQL and scripting (e.g., Python).
• Solid understanding of data modeling and performance optimization.
• Experience with monitoring and debugging data pipelines.
• Familiarity with version control (e.g., Git) and CI/CD workflows
• Communication effectively in English (C1), both verbally and in writing, with technical and non-technical stakeholders, and possess the ability to present complex issues simply.

What We Offer

• An exciting and varied job in a dynamic company within the energy sector.

• Work-Life-Balance: Flexible working hours.

• 24 days of vacation.

• An attractive salary.

• Transparency and Security:

• Permanent employment contract.

• Vacation, Easter, and Christmas bonuses.

• Allowance for lunch and travel costs.

• Additional health insurance and annual medical check-up, multi-sports options, etc.

• Opportunity to work from home (remote).

• Support for your professional and personal development through attractive training opportunities.