FULLTIME | UNLIMITED | MUNICH

Do you want a job that throws a different challenge at you every day? Have you got an unquenchable passion for data and problem solving? Are you aching to jump into a fast-paced work environment that will keep you on your toes? We’ve got one you might like.
We are looking for an eager learner who wants to have considerable impact on our roadmap for a successful data-driven organization. We need someone whose overall data and programming savvy outweighs niche experience with a certain database platform. Whether you’ve worked primarily in SQL Server, Postgres or something else, all we really care about is that you have a strong understanding of building data pipelines and are ready to hit the ground running.

YOUR SKILLS:

• Must-Haves:
• Excellent SQL skills
• Programming ability (Python, Java, C#, PHP, etc.)
• Strong ETL skills using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Highly effective verbal and written communication skills
• Strong problem-solving skills
• Adaptability and flexibility to changing situations
• Passion for delivering compelling solutions that exceed client expectationsWhat We’d Like You to Have:
• Experience with software engineering practices
• Experience with modern data engineering practices and frameworks
• Experience with integration from API sourcesWhat will be ideal for you to have:
• Familiarity with any of the cloud-based data movement/integration tools: Matillion, Fivetran, Airflow, DBT or other ETL tools
• Familiarity with cloud platforms: AWS / Microsoft Azure
• Familiarity with any of the cloud-based data platforms: Snowflake / Amazon Redshift / Google BigQuery / Azure Synapse

• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data
• Collaborate closely with users from all relevant departments ATOSS-wide to understand their unique needs and support them with the best solutions
• Solve data-acquisition, integration and management problems
• Create ETL processes based on client needs while managing internal client expectations