Do you enjoy setting data engineering standards, have years of development experience, and are now ready to take the next step in your career? If so, we might be a perfect match!
As a Principal Data Warehouse Engineer, you will report directly to the Chapter Lead of Data Engineering and be one of the senior leaders within the Chapter – a specialized group of data engineers within our central Data Insights & AI organization. The Chapter’s mission is to establish standards and processes that enhance operational efficiency and deliver greater impact by creating guidelines and promoting best practices in data engineering to build our future data warehouse.
This role focuses on designing and building cutting-edge data engineering solutions alongside high-level architectural work.
Define and implement technical standards for Data Engineering and Data Warehouse development, including frameworks (e.g., DBT, SodaSQL), orchestration tools (e.g. Airflow), GIT release management and branching strategies or CI/CD pipelines.
Establish and refine guidelines for data transformation, ensuring efficient workflows for all Data Excellence Teams.
Serve as a primary expert in engineering tools and frameworks, ensuring consistent usage aligned with data landsacpe architecture.
Collaborate with the Data Platform Team to translate engineering requirements into platform capabilities and technical improvements.
Collaborate with the Data Governance Team to establish and fulfill data governance related requirements and guidelines.
Define best practices for cloud-based solutions on Databricks, focusing on architectural patterns and performance optimization, in combination with our framework DBT.
Design and implement data quality frameworks, monitoring processes, and governance guidelines.
Provide hands-on technical guidance and mentorship to Data Engineers and Excellence Leads.
You have at least 5 years of experience as a Data Engineer, demonstrating significant impact at a senior engineering level.
You bring a clear, audience-sensitive communication style to both your verbal and written work.
You have extensive experience with the following technologies: Databricks, DBT, Airflow, GIT, nice to have: AWS, Snowflake, Collibra
You proactively drive projects, process and technical improvements.
You can quickly assess the severity and impact of bugs and prioritize them accordingly.
You ensure high-quality operational artifacts (e.g., data engineering playbooks) and apply the best architecture or engineering design practices.
You understand system requirements (performance, data, feature ownership) and translate them into technical designs, carefully analyzing trade-offs.
With a fleet of 287 modern container ships and a Vessel Capacity 2.2 million TEU, as well as a Container Capacity 3.2 million TEU including one of the world’s largest and most modern reefer container fleets, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the Liner Shipping segment, the Company has around 13.500 employees and 400 offices in 139 countries. Hapag-Lloyd has a container capacity of 11.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 114 liner services worldwide ensure fast and reliable connections between more than 600 ports across the world. In the Terminal & Infrastructure segment, Hapag-Lloyd has stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. The roughly 2.600 employees assigned to the Terminal & Infrastructure segment deal with terminal-related activities and provide complementary logistics services at selected locations.
Principal Data Warehouse Engineer