Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
About the role
- Senior Data Engineer responsible for building data pipelines and infrastructure for AI integration in European companies. Join our team to shape exciting projects in a collaborative environment.
Responsibilities
- In this role you are responsible for building and maintaining data pipelines and infrastructure to support our clients' needs
- Developing, designing and implementing data platforms for our clients
- Building and maintaining data pipelines and ETL processes
- Working with both structured and unstructured data sources
- Optimizing data ingestion, processing and storage
- Collaborating with data scientists, analysts and developers to ensure smooth data operations
- Developing and maintaining data modeling and database architecture
- Estimating the effort required for your tasks
- Continuous, active learning in the field of AI
- Sharing your knowledge with clients and the team
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering or a related field
- At least 5 years of experience in data engineering, with a focus on big-data technologies (Hadoop, Spark, NoSQL)
- Strong experience with Python, SQL, ETL tools and data modeling
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
- Ability to work with large and complex datasets at scale
- Experience with data integration and implementing data governance policies
- Ability to understand and communicate complex data requirements and to design appropriate technical solutions
Benefits
- An exciting challenge in one of the most important technology areas of the 21st century
- Be part of an international network with a focus on AI
- Independent work with responsibility and opportunities to launch spin-offs or new ventures
- A collegial, appreciative and inspiring team environment
- Equity in the company and an excellent compensation package
- Flexibility and opportunities for growth and advancement
- Work at our Hamburg office on the Binnenalster
- Top-tier technical equipment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.
Data Engineer I building and operationalizing complex data solutions for Travelers' analytics using Databricks. Collaborating within teams to educate end users and support data governance.
Data Engineer shaping modern data architecture to drive golf’s digital transformation. Collaborating with teams to enhance data pipelines and insights for customer engagement and revenue growth.
Staff Data Engineer overseeing complex data systems for CITY Furniture. Responsible for architecting and optimizing data ecosystems in a hybrid work environment.