Data Engineer at Domes Resorts responsible for designing data pipelines and supporting analytics. Join E - Commerce, Intelligence & Innovation team to drive business growth through data solutions.
About the role
- (Senior) Data Engineer responsible for solutions-designs, development, deployment, and operation of microservices and batches in GO and Python. Working in a modern office in Hannover with flexible working options.
Responsibilities
- Responsible for designing, developing, deploying, and operating microservices in Go
- Use Python for programming
- Use Apache Airflow and Spark
- Optimize business intelligence using Metabase
- Independently develop and support the definition of processes and data structures
- Analyze and document processes and workflows
- Support the establishment of processes, tools, and rituals
Requirements
- Responsible for solution design, development, deployment, and operation of microservices and batch jobs in Go and Python
- Familiar with Apache products (e.g., Airflow or Spark)
- Experience with Metabase and optimizing business intelligence
- Independently translate functional requirements into development tasks
- Analyze and resolve errors and incidents
- Programming skills in Go and Python
- Solid professional experience in agile software development (e.g., Kanban)
- Knowledge of big data analysis and visualizations
- Fluent German and good English skills
Benefits
- 30 days of vacation (December 24 and 31 are additional days off)
- Mobile working is possible
- Flexible working hours are possible
- Free hardware choice within our standards
- Employer-funded company pension scheme of 3.5% of your monthly gross base salary
- Additional option for salary conversion (Entgeltumwandlung) plus employer contribution
- Corporate fitness via Hansefit
- Discounts through Corporate Benefits
- Support for professional and personal development (for example via Udemy)
- Regular team events / team days
- Free beverages, a table tennis table and a foosball table
- Dogs are welcome!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
VP Enterprise Data Architect managing scalable data solutions and architecture for Pacific Life. Leading teams and advancing AI - first data ecosystem.
Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
Senior Data Engineer leading the design and implementation of data pipelines for NVIDIA’s analytics and monitoring systems. Collaborating across teams to enhance data ingestion and analysis capabilities.
Associate Data Engineer at Boeing India supporting API Development and Data migration with a focus on engineering and technology solutions. Involves working independently to gather requirements and supporting architecture for API services and data analytics.
Senior Data Engineer building and maintaining robust data pipelines for various data products at Beep Saúde. Collaborating within the team and leading data governance practices.
Software Developer in Test working on cloud - based data platform at Tecsys. Ensuring quality and reliability of data pipelines and transformations using automation frameworks.
Data Engineer responsible for designing, building, and optimizing data pipelines and architectures in a tech environment. Requires extensive experience with modern data warehousing and cloud platforms.
Lead Data Engineer role at Brillio focusing on AI & Data Engineering with expertise in Azure and MS Fabric. Collaborate within the Data Engineering team in Pune, Maharashtra, India.
Data Architect at Whiteshield designing scalable, secure data architectures for national and enterprise transformation programs. Architecting modern data platforms to support analytics, AI and operational use cases.