Data Engineer (m/f/d)

Looking for an exciting challenge?

Join us on our mission to become a global champion in commerce advertising and performance marketing.

Backed by our investor Waterland Private Equity, our three companies are digidip, shopping24, and Yieldkit form mrge.

Together, we are building and scaling technology platforms that all share the goal of connecting advertisers and publishers in a manner beneficial to both parties.

We are an international, multilingual team with flat hierarchies. Our teams work with a high degree of independence, both from offices in Hamburg and Berlin, as well as remotely.`

Our culture runs on trust, friendliness, and collegiality, fostering a positive work atmosphere.

Working with us is easy and fun just ask our clients, who we help to reach their goals in an uncomplicated, reliable way.

In close cooperation with our partners, we provide advertising formats that offer genuine relevance for our users and, as a result, lead to higher sales.

We are seeking a highly skilled and motivated Data Engineer to join our team. You are an individual who is passionate about data and is driven to make a difference in the industry. In this role, you will have the opportunity to design, build and maintain a state-of-the-art cloud-based data platform, and ensure that data is accurate, consistent, and reliable. You will be a key member of the team and will play a vital role in the further development of our data platform.

Your Tasks:

• Design, build and maintain data storage and processing infrastructure on our state-of-the-art cloud-based data platform
• Collect, clean, and pre-process data to ensure data accuracy and completeness
• Build and maintain data pipelines using modern tools like Airflow, Airbyte, or dbt
• Ensure data quality, compliance, and governance to meet regulatory and company standards
• Continuously identify and implement process improvement opportunities to optimize data flow and performance
• Act as a liaison between the data team and other internal teams to understand data needs and requirements
• Monitor and troubleshoot data infrastructure to ensure optimal performance and availability

Your Profile:

• 3+ years of experience in data engineering
• Strong knowledge of SQL and at least one programming language (Python, Java, Scala, etc.)
• Experience with data warehousing, data processing, and pipeline building using modern tools like Airflow, Airbyte, or dbt
• Experience with cloud platforms (AWS, Azure, GCP)
• Strong analytical and problem-solving skills, with the ability to think critically and make data-driven decisions
• Proven experience with data governance, quality, and compliance practices
• Experience with monitoring and troubleshooting tools to ensure optimal performance and availability
• Strong communication and teamwork skills, with the ability to collaborate and communicate effectively with both technical and non-technical stakeholders

Your Opportunity:

• Take an active role in shaping an innovative, growth-orientated international corporate group from its early stages; seize the opportunity to become irreplaceable!
• Take on responsibility as you become an important part of a young, ambitious, and friendly team with a shared desire to develop its skills.
• Enjoy opportunities to work independently, with flexible hours and hybrid remote/office working options.
• Enjoy top-notch employee benefits: 30 paid vacation days, the latest tech, individual development plan, prepaid spending card (50 monthly budget) and much more
• Take your skills, talents, and career to the next level as you grow with us.

Have we convinced you? Then we can t wait to read your application!

All our employees have equal career opportunities at mrge, regardless of gender, origin, ethnicity, religion, sexual orientation, age, or other personal attributes.
Candidates will be considered and selected equally based on their skills, qualification, and the needs of the company.
We know that experience and skills are matters of development and gain while working.
Therefore, we encourage you to apply even if your profile does not meet 100% of the requirements for this position.