Senior Data Engineer (m/f/d)

Xempus AG; München; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Xempus AG, Germany's leading SaaS platform in insurance management, seeks a Senior Data Engineer. You will implement scalable data infrastructures and collaborate with various teams. Ideal candidates will have extensive experience in data engineering, cloud technologies, and big data frameworks. Join us to make a difference!

Leistungen

Generous employee stock option program

Attractive pension scheme contribution

Corporate health insurance reimbursement

Hybrid working options

Personal and professional development opportunities

Modern office with free drinks & fruit

Unpaid extra holiday option

Qualifikationen

• 7+ years of experience in software and 5+ years in data engineering.
• Proven experience with big data technologies and cloud platforms.
• Strong knowledge of SQL and experience with relational databases.

Aufgaben

• Architect and implement scalable data infrastructure solutions.
• Develop and maintain ETL/ELT pipelines to process large datasets.
• Ensure data quality, integrity, and consistency across the data infrastructure.

Kenntnisse

Data Engineering

Problem Solving

Collaboration

Analytical Skills

Communication

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Apache Spark

Snowflake

AWS

Apache Airflow

Jobbeschreibung

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)

Why Xempus

• Join one of the leadinginsurtechsin Europe as it enters its next growth phase
• Find creative freedom and quick decision-making structures in a dynamic, innovative environment
• Opportunitytoparticipatein one of the most generous employee stock option programs in the industry
• Very attractive contribution to the company pension scheme
• Corporate health insurance (600€ reimbursement of various medical and pharmacy costs per year)
• Work with a team of amazing colleagues withgreat teamspirit (company parties, charity events e.g.)
• Have theoptionof hybrid working - for family friendliness and maximum flexibility in your everyday life. You can find out morehere.
• Broad range of personal & professional development opportunities: individual annual training budget, free courses, and a transparent career development model
• Various health offerings such as bike leasing and EGYMWellpass
• Modern offices in a central location, including free drinks & fruit
• We offer you an option for an unpaid extra holiday in addition to your 30-day holiday entitlement per year

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 ([e-mail]) is happy to help.

We’d love to hear from you!