Who we are
We are Xempus, Germany´s leading independent Software-as-Service (SaaS) platform for the management and distribution of pension, life and health insurance. Our mission: making pension, life and health insurance digital and understandable, efficient and accessible for everyone. Since 2007, we have been constantly working to drive the digitalization of the insurance industry. Here at Xempus, we believe that together we can make a difference – no matter where we are! Whether from one of our offices or from home – join us and together we create a more secure future for everyone!
The role
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be responsible for architecting and implementing a scalable data infrastructure with efficient data pipelines. You will work closely with data scientists, analytics and product teams to ensure the creation of impactful solutions. This role requires a deep understanding of software and data engineering principles, cloud technologies, and big data frameworks.
Key Responsibilities:
- Architect and implement scalable data infrastructure solutions using modern tools, services and cloud environments
- Develop and maintain ETL/ELT pipelines to ingest, process, and transform large datasets from various sources
- Ensure data quality, integrity, and consistency across the data infrastructure
- Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs
- Collaborate with DevOps and IT teams to ensure seamless integration and deployment of data solutions
- Optimise data storage and retrieval processes to ensure high performance and low latency
- Implement best practices for data governance, security, and compliance
- Perform regular maintenance and updates to keep the data infrastructure up-to-date with the latest technologies and industry standards
- Monitor and troubleshoot data pipelines and infrastructure to ensure reliability and availability
What we are looking for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 7+ years of experience in software and 5+ years in data engineering, with a focus on building and managing data lakehouse or data warehouse solutions
- Proven experience with big data technologies (e.g., Apache Spark, Apache Iceberg, Snowflake, Databricks) and cloud platforms (AWS, Azure, GCP)
- Proficiency in programming languages such as Java/Kotlin, Python or Scala
- Strong knowledge of SQL and experience with relational databases
- Experience with data modeling, ETL/ELT processes, and data pipeline orchestration tools (e.g., Apache Airflow)
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Ability to work independently and as part of a team in a fast-paced environment
Preferred Qualifications:
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis)
- Knowledge of machine learning and data science workflows
- Familiarity with advanced feature management tools
- Knowledge of MLOps practices and tools such as Docker, Kubernetes, and MLflow
- Familiarity with data governance and compliance frameworks (e.g., GDPR, CCPA)
Contact
Does that sound like your kind of job? Then apply now!
If you have any questions, difficulties uploading your data, or require any assistance with the recruitment process,
Marta Von Deimling (
jobs@xempus.com) is happy to help.
We’d love to hear from you!
About us
At XEMPUS, +180 people work on a very special vision: We make the future plannable. We have been shaping the digital transformation in the insurance industry since 2007. We know what our successful future depends on: our team, the people behind the name XEMPUS.
We have ambitious goals. To achieve those goals, we need you!We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependants, physical or mental disability. Any hiring decision are made on the basis of skills, qualifications and experiences.
