Data Engineer (mfd) Junior+Mid-Level

HANS IM GLÜCK Franchise GmbH is a leading national chain restaurant company headquartered in Munich. Active since 2010 HANS IM GLÜCK now has over 90 burger addition to a diverse and creative range of burger and cocktail variations our burger restaurants offer a feel-good atmosphere for a moment of happiness. HANS IM GLÜCK is successful throughout Germany Austria Switzerland and the Netherlands with fresh ingredients top quality and a very special dining experience and continues to expand.

There is no one under the sun as happy as I am. Hans utters these words after exchanging something valuable for something worthless on his journey. For him happiness is not about possessions; for him its about the moment. With our burgers we give people special moments of happiness.

We are currently looking for a new member to join our team at our headquarter team in Munich.

Data Engineer (m / f / d)

We are a highly motivated team who enjoy our work and love creating moments of happiness for our guests and employees.

As an employer we offer you:

• A team that works together as equals sticks together and embraces an open corporate culture.
• You can and should be yourself with uswe dont have uniforms here.
• An exceptionally beautiful office in the Macherei in the east of Munich do you feel at home in our burgergrills Then youll love our office too!
• A permanent employment contract.

And other benefits such as:

• Daily lunch allowance
• The option to work partly from home
• Regular team events
• Company sports : Subsidy for Urban Sports Club membership and company rates for the bodysoul or FitX gym
• Corporate benefits shopping discounts
• Subsidized company bike leasing and company pension plan
• Workation in another EU country for up to four weeks
• Free cold and hot drinks of all kinds after all we are one thing above all else : hosts

Your role:

• Develop & Enhance Data Landscape : As part of the Data Analytics team you will develop and continuously improve our data infrastructure and landscape.
• Design Data Pipelines : Design and implement new data ingestion and transformation pipelines while also supporting and optimizing the existing data pipeline infrastructure.
• Integrate New Data Sources : Manage the integration and onboarding of new data sources into our platform and provide ongoing support to ensure these data pipelines run smoothly.
• Continuous Improvement : Propose and implement ideas for the continuous improvement of our data environment ensuring we use best practices and modern approaches.
• Data Preparation : Model and prepare data to meet analysis and visualization requirements working closely with data analysts to ensure the data is ready and accessible for reporting needs.
• Cross-Team Collaboration : Work with various departments to understand data needs and help streamline business processes through data solutions ensuring that our data initiatives provide real value across the organization.

Your profile:

• Education : Degree in Computer Science or a related technical field .
• Experience : Professional experience as a Data Engineer or as a software engineer working with Python.
• Cloud Data Pipelines : Hands‑on experience setting up scalable data pipelines in cloud environments (preferably Microsoft Azure).
• Databricks & Azure Data Factory : Experience with the Databricks platform and Azure Data Factory (or Azure Synapse) is a strong plus .
• Data Analysis & Modeling : Experience in data analysis and data modeling in both relational databases and modern data storage systems ( e.g. data lakes or NoSQL).
• Programming Skills : Proficient in Python and SQL. Familiarity with Apache Spark / PySpark for big data processing is a plus.
• Tools & Practices : Comfortable with modern data engineering tools and practices for example Azure DevOps for CI / CD dbt for data transformations working in an agile development process.
• Interest in AI / ML : Enthusiasm or interest in AI and machine learning methods is a plus ( youll have opportunities to explore these though its not a core requirement).
• Communication : Fluent in English (written and spoken) is . German language skills are a bonus .

T his role offers the chance to work with a modern data stack and to have a direct impact on how data drives decision-making in our company. If you are passionate about building efficient data pipelines and eager to grow in a collaborative environment wed love to hear from you!

We believe in a working environment where everyone belongs. We therefore particularly welcome applications from people with disabilities.

Seize your chance and apply directly online.

Working at HANS IM GLÜCK means you are part of a leading national chain restaurant company headquartered in Munich. Active since 2010 HANS IM GLÜCK currently has more than 90 burger restaurants in Germany Austria Switzerland and the Netherlands.