Data Engineer

Do you want to be responsible for implementing new AI tools ?

Then become part of our development team!

WHO WE ARE

130 great people over 14 nations, working together to deliver holistic, innovative digital projects for the world's best clients.

OUR VISION

To create a community where everyone feels valued and inspired to do their best every day.

LEADING BRANDS

For over 20 years, we have been successfully shaping the digital future with and for major international brands. 

INTERNATIONAL

We work in Hamburg, London, Novi Sad, Zurich and Berlin and support our clients in many markets and industries worldwide.

DM FAMILY

In our owner-managed agency mutual appreciation, our 10 Values and "Management by Coaching" leadership style stand for an open culture and communication at eye level.

YOUR KEY TASKS                         

• Collecting data from various sources, including APIs, databases, and third-party providers.
• Integrating data from multiple sources into a cohesive data structure.
• Create prototypes and functional software systems that utilize Artificial Intelligence
• Cleaning and transforming raw data to make it suitable for analysis.
• Handling missing values, duplicates, and data inconsistencies.
• Designing, implementing, and maintaining robust ETL processes.
• Ensuring data is accurately and efficiently loaded into data warehouses.
• Creating and managing database schemas.
• Optimizing database performance and ensuring data integrity.
• Designing and implementing data warehouse architectures.
• Managing data storage, retrieval, and indexing.
• Implementing data quality checks and validation processes.
• Ensuring data accuracy, completeness, and reliability.
• Working closely with data scientists, analysts, and other stakeholders.
• Communicating technical details and insights effectively to non-technical audiences.

YOUR SKILLS

• Proficiency in Python and its data-related libraries (e.g., Pandas, NumPy, SQLAlchemy).
• Proficiency in version control tools like Git.
• Strong knowledge of databases (SQL and NoSQL).
• Experience with data warehousing solutions e.g., Google BigQuery.
• Building and managing ETL pipelines.
• Building and consuming RESTful APIs.
• Experience with schema design and data normalization.
• Usage of LLMs
• Configuring LLM assistants and prompt engineering is a plus
• Familiarity with ETL tools such as Apache Airflow.
• Familiarity with frameworks like Apache Kafka is a plus but not mandatory.
• Familiarity with CI/CD pipelines.

OUR BENEFITS

REMOTE WORK & HOME OFFICE | up to 50 % Homeoffice, flextime  

EVENTS | Team Events and Travel, Social Day, Agency Events, Team Lunch
EDUCATION & GROWTH | DM CAMPUS, Personal Coaching, Grow-Budget, Performance-Management-System  

MINDFULNESS | Mindfulness App, RelaxPress  

OFFICES | relaxed atmosphere, dog friendly, free food & drinks  

INCENTIVES | Top-tier renumeration, recognition bonuses peer-to-peer   

BECOME PART OF A TEAM WHERE NEW WORK AND FUN ARE A MATTER OF COURSE!