Job
In this role, you will develop robust data pipelines and models for analytical applications and AI features, while supporting the build of a modern data platform that integrates legacy systems.
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Job technologies
Your role in the team
- You'll design the pipelines, models, quality mechanisms and infrastructure that make this data available for analytics, product features, AI/ML and customer-facing insights.
- You'll help build a modern data platform that becomes part of the product itself.
- It will connect legacy and modern systems as Intact transforms domain by domain.
- You'll work closely with our Head of Data & AI, Product, Engineering and Applied AI/ML colleagues, and with teams around the world.
- Build reliable, scalable and cost-efficient pipelines from legacy and modern product systems into Intact's analytical data platform.
- Develop reusable transformations with clear layers between raw, transformed and consumption-ready data.
- Build robust Change Data Capture patterns for incremental processing, schema evolution and historical correctness.
- Design canonical analytical models for key business entities, events and relationships.
- Ensure data quality with automated tests, observability, lineage, monitoring and failure recovery.
- Provide trusted data for product analytics, experimentation, AI training, evaluation and retrieval.
- Help new product domains become data-ready from the start.
- Design mechanisms for access control, retention, deletion, anonymization, and pseudonymization.
- Work with data consumers to make important datasets discoverable and understandable.
- Treat data engineering as software engineering, with version control, code review, automated testing and CI/CD.
Our expectations of you
Education
- Degree in Computer Science, Data Engineering or a related field, or equivalent practical experience.
Qualifications
- Advanced SQL and Python (or another data-engineering language).
- Strong skills in ELT/ETL, reusable transformations and dimensional, relational and analytical data modeling.
- Solid understanding of data contracts, security, privacy and access control.
- Systems thinker with pragmatic judgment and a strong sense of ownership, curious about the business meaning behind the data and able to explain trade-offs to non-specialists.
- Fluent in English; German is a plus.
Experience
- 5+ years building and operating production data systems, ideally owning them from source to consumer.
- Experience designing modern cloud data architectures (warehouses or lakehouses) with a strong focus on performance, scalability and cost.
- Hands-on experience with Change Data Capture, incremental processing, schema evolution and batch or near-real-time processing.
- Experience with automated data-quality testing, monitoring, lineage, CI/CD and systems that recover from failures predictably.
What we offer
- Build the data foundation for one of the most important product transformations in the TIC software industry.
- Create a modern data platform rather than maintain a collection of disconnected reporting pipelines.
- International environment with purpose: we help safeguard quality, safety and sustainability worldwide.
- Flexible work models with a 100% remote work option.
- Lebring office perks: food vouchers, free parking, easy access to public transport.
- We not just enable personal development but encourage it - Your growth is our gain.
- Fair compensation: from € 64,554 gross/year (full-time), with overpayment up to € 85,000 depending on seniority and experience.
- Start: ASAP.
Benefits
Work-Life-Integration
Food & drink
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Lebring
At Intact, we are a team of passionate and motivated employees who work together to develop new software solutions for our customers. We believe it is important to have a relaxed atmosphere in which everyone can enjoy themselves while they work. After all, we're not just working for Intact; we're working with Intact.
- 2001
- Established Company
- Full Remote, Hybrid, Onsite
- Consulting · Internet, IT, Telecommunication
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