Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Reutlingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines and integrations between cloud and on-premise systems, collaborate closely with business units, and utilize modern cloud technologies on Microsoft Azure.
Job Technologies
Your role in the team
- Development of data flows & integrations: Design, implementation, and operation of data pipelines, interfaces, and integration solutions between cloud and on-premise systems to ensure stable and scalable data flows.
- Requirements Gathering & Implementation: Close collaboration with business units and IT business partners to collect, evaluate, and prioritize data and integration requirements (benefits, data quality, stability, feasibility) as well as coordination of external service providers.
- Agile Working & DataOps/DevOps: Collaboration within agile teams following DevOps principles, including CI/CD pipelines, to deploy changes to integration and data artifacts quickly, securely, and reproducibly.
- Use of modern cloud technologies: Development of cloud-based integration and data solutions on Microsoft Azure (including .NET Core, Azure Functions, Azure DevOps, Cosmos DB, Redis) as well as the utilization of suitable (Azure) data services for storage, processing, and orchestration of data flows.
- Quality-oriented development: Ensuring code and data quality as well as maintainability through clean code, automated tests, monitoring/validations, and regular reviews — with a focus on stable, traceable, and reusable data flows as a foundation for analytics and AI.
This text has been machine translated. Show original
Our expectations of you
Education
- Several years of professional experience in Data Engineering and/or Cloud Integration (data pipelines, interfaces, data models); Degree or training in an IT environment
Qualifications
- Proven expertise in data modeling and NoSQL/SQL, as well as modern cloud technologies, APIs/interfaces, and distributed systems.
- Structured working style with the ability to prioritize, derive well-founded technical decisions, and pragmatically implement along data and integration use cases.
- Team player with a willingness to learn and motivation to actively contribute to a robust data foundation as a prerequisite for analytics and AI.
Experience
- Experience with quality-oriented development including Clean Code, automated tests, as well as Data Quality Checks/Validations and clean documentation.
This text has been machine translated. Show original
What we offer
- Professional onboarding and guided onboarding process
- Mobile Working
- JobRad and Corporate Benefits
- Free drinks
- Company events and team-building activities
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Heinrich Schmid Systemhaus GmbH
Heinrich Schmid Systemhaus GmbH provides specialist planning services in sound insulation and room acoustics and is based in the Reutlingen region. As part of the established Heinrich Schmid Group, it benefits from a rich tradition in the construction industry.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services
Data & Cloud Integration Engineer
- Location
- Reutlingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
