Junior Data Engineer (Frankfurt)

Technical Recruiter at Zero to One Search | Recruitment Agency

Contract: Permanent

Are you interested in the next big challenge?

Our client is a big (2k employees in all major cities in Germany) company with several digital products and services on the market that make easier daily life of their customers.

You will find the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves.

Are you passionate about data, analytics and optimizing complex data pipelines? Do you want to work in a dynamic environment and reach the next level of your career as a Data Engineer? Then you've come to the right place!

Requirements:

1. Successfully completed studies in business informatics, data science, mathematics, economics or similar
2. Experience in designing, implementing, and optimizing ETL pipelines and databases
3. Understanding of data quality checks and validation processes
4. Hands-on experience with tools like Git, Docker and Kubernetes and cloud services (like AWS / Azure)
5. Strong knowledge of Python and SQL, experience working on Tableau Prep and Tableau is a big plus
6. Hands-on experience with Apache Airflow, including DAG development and Airflow ecosystem management
7. Familiarity with migrating workflows from one tool to another is a plus
8. You are business fluent in English and/or in German

Responsibilities:

1. Build a strong understanding of the existing data sources and data pipelines (primary tools: MySQL, Tableau Prep)
2. Identify optimization opportunities, develop an implementation plan and execution
3. Understand the data requirements of Analytics/Controlling/Data Science teams and develop solutions to fetch this data efficiently
4. Establish ways to monitor data quality and put in place checks to detect any deviation
5. Design, configure, and maintain Apache Airflow environments. Develop, optimize and maintain Airflow DAGs
6. Maintain comprehensive documentation for all data pipelines, and workflows for any future reference and onboarding requirements
7. Stay updated with the advancements in the field of Data Engineering and determine their application to enhance our capabilities

Flexible working time model with three days per week in the office and 1 day flexibly from the office or from home.

Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.

Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc.

Independent, agile work in small teams with a strong team spirit. Short decision-making processes.

An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.