Make Digital Success happen
- with us.

You will join our Tech & Data Team, where you'll work on designing and implementing data solutions, from data pipelines to real-time analytics, in a supportive and collaborative environment.

Your daily work will include the following tasks:

• You will be collaborating with ML engineers, developers and solution architects of our team.

• You will analyze and document the functional and technical requirements that need to be fulfilled by the data pipelines and persistence mechanisms

• Collaborate with ML engineers and analysts to understand their data requirements and provide them with clean, reliable, and easily accessible data for analysis and modeling.

• You will work closely with our customers, developers, and solution architects to configure SaaS/PaaS systems according to requirements. 

• Design and implement scalable and efficient data pipelines to extract, transform, and load data from various sources into SaaS services, data warehouses, or data lakes.

• Optimize data storage and retrieval by designing and implementing appropriate database schemas, indexes, and partitioning strategies.

• Ensure data quality, consistency, and integrity by implementing data validation, cleansing, and enrichment processes.

• Monitor and troubleshoot data pipelines to identify and resolve issues related to performance, data accuracy, or system failures.

• Implement data security measures and access controls to protect sensitive information and comply with data privacy regulations.

• Create and maintain documentation for data pipelines, schemas, and integration processes to facilitate knowledge sharing and ensure smooth handovers.

• Participate in code reviews, testing, and deployment processes to ensure the quality and reliability of data engineering solutions.

• Proficiency in Python and a solid understanding of libraries like pandas, numpy, matplotlib, seaborn, or others.

• Experience in designing and implementing ETL (Extract, Transform, Load) processes using Python and tools like Luigi, Apache Airflow, or others.

• Skills in problem-solving and analytical thinking.

• Excellent communication skills for effective collaboration with cross-functional teams, including non-technical stakeholders.

• Either a degree in computer science or a related field, or equivalent practical experience of at least 3 years in this area. We value diverse educational and career backgrounds.

What else would be nice:

• Understanding of data pipeline orchestration and scheduling.

• Knowledge of data quality principles and techniques.

• Awareness of data privacy regulations (GDPR) and its impact on data engineering.

• Proficiency in SQL for querying and manipulating relational databases.

• Familiarity with NoSQL databases, such as MongoDB or Cassandra, and their Python connectors.

• Experience with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.

• Familiarity with RESTful APIs and Python libraries for API integration, such as requests or Flask.

• Eagerness to learn and adapt to new technologies and tools in the rapidly evolving field of data engineering.

• Familiarity with Python-based machine learning libraries, such as scikit-learn or TensorFlow.

• Ability to create visualizations and dashboards using tools like Tableau, Power BI, or similar to present analytical findings and support decision-making processes.

• Experience in developing analytics solutions by implementing algorithms to derive insights from data.

• Work-life harmony: Work flexibly, in the Hamburg or Berlin office. 
• Knowledge is king: You regularly take part in workshops and training sessions and our E-Day is a fixed programme once a month.  
• Social benefits: We subsidise your HVV-ProfiCard (DeutschlandTicket) and your membership of Urban Sports Club, company pension scheme, regular events and functions and many more.  
• Dogs in our Offices: Four-legged friends are very welcome.

You'll work in a straightforward and cooperative environment, alongside Germany's digital giants. The expertise of our consultants provides you with insights into the latest developments and trends in the digital industry. You can expect strong growth and an ambitiously driven environment. From day one, you can fully contribute and add real value to Etribes' continued success.

We are excited about our work every day anew and love what we do. Etribes is at the pulse of time and has big plans. Do you want to be part of this success story? Then we look forward to receiving your application.