drjobs Senior Data Engineer (m/f/d)

Senior Data Engineer (m/f/d)

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1 Vacancy
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Job Location drjobs

München - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Who we are
We are Xempus Germanys leading independent SoftwareasService (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 uptodate with the latest technologies and industry standards
  • Monitor and troubleshoot data pipelines and infrastructure to ensure reliability and availability
What we are looking for
  • Bachelors or Masters 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 problemsolving and analytical skills
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a team in a fastpaced environment
Preferred Qualifications:
  • Experience with realtime 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)
Why Xempus
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About us

Required Experience:

Senior IC

Employment Type

Full-Time

About Company

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