Xempus is the leading European group pension, life and health insurance platform. We seamlessly connect insurers, insurance agents, corporates and their systems in an automated and customer-centric manner. Using standardized interfaces and structured data, we operate the central infrastructure for all customer-centric processes and enable agentic AI across pension, life and health insurance.
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 – join us and together we create a more secure future for everyone!
We’re looking for a Senior Analytics Engineer (m/f/d) who combines deep technical expertise with a strategic mindset. In this role, you’ll have full ownership to define standards and embed a modern data culture across the organization.
Your impact: turn raw data into trusted insights that drive key business decisions and set the foundation for scalable, future-proof analytics.
Responsibilities:
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Design, develop, and maintain dbt-based transformation pipelines
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Build robust, scalable, and well-documented data models for BI tools and data products to improve business performance
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Define and implement best practices for version control, testing, performance optimization, and documentation
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Ensure data quality and consistency throughout the lifecycle, including comprehensive test coverage. Collaborate with analysts and data users to make data easy to use, trustworthy, and fast to access
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Collaborate with Product, Finance, Engineering, and Operations to translate business metrics into reliable, scalable data models
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Align dbt transformations with our Snowflake-based data platform in partnership with Engineering
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Create dashboards and reports that turn models into actionable insights for stakeholders
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Champion data culture by embedding data-driven thinking across the organization
Tech Stack you will work with:
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Transformation / Modeling: dbt (core or Cloud)
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Cloud Data Platform: Snowflake (currently in migration phase)
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BI / Consumption: Tableau (or similar)
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Version Control: Git
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Workflow & Orchestration: Airflow / Dagster / Prefect
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Programming: SQL (expert level), Python
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Testing & QA: dbt tests, Great Expectations, or similar frameworks
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At least 6 years of experience in data engineering, analytics engineering, or advanced BI development role
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Proven hands-on experience with dbt in a production environment
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Deep expertise in SQL and dimensional/semantic modeling (e.g., Kimball, DRY modeling principles)
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Experience working with Snowflake or another modern cloud data platform (e.g., BigQuery, Redshift)
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A track record of building clean, modular, reusable data pipelines
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Strong understanding of data testing, CI/CD, documentation, and performance tuning
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Ability to translate ambiguous business requirements into scalable data models
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Passion for building a modern data culture and driving data-driven decision-making across the organization
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A builder mindset: excited to shape foundational data architecture in a growing environment and influence long-term data strategy
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Excellent communication and stakeholder management skills across technical and non-technical teams
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Shape the Future: Help reinvent intelligent automation of occupational pensions at one of Germany’s leading insurtechs
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Maximum Freedom: Creative ownership and fast decision - in a dynamic, innovative environment
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Top Contribution: 100% employer contribution – we double every euro you invest in your occupational pension scheme
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Health Coverage: Company health insurance with €600 annual reimbursement for various medical services
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People-Driven Culture: Genuine cross-departmental teamwork, open doors, and collaboration at eye level
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Flexible Working: Hybrid working for maximum freedom and work-life balance – learn more here
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Learn & Grow: Annual development budget, personal AI coaching, and transparent career paths with clear growth opportunities
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Stay Active & Mobile: Health benefits including job bike / EGYM Wellpass or traveling easily with the Deutschlandticket
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Extra Time Off: 30 days paid vacation – plus the option to take additional unpaid leave
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Workation Option: Up to 30 days per year to combine work and travel
If you have any questions, difficulties uploading your data, or require any assistance with the recruitment process,
Marta Von Deimling (
[email protected]) is happy to help. Please be sure to submit your application using the application form - unfortunately,
we cannot process applications sent by email.
We’d love to hear from you!
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.
