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About the Role
Become a valued member of our data integration team and start your journey building scalable data architectures and fast data pipelines for our multinational clients. Our use cases range from data warehouse and lakehouse architecture implementations over IoT and data streaming setups to sophisticated AI scenarios, in industries ranging from manufacturing, consumer products, and healthcare to banking and insurance.
Responsibilities
- Design, build, and maintain data pipelines according to client business needs and embed them end-to-end into the given data stack.
- Assist in maintaining and optimizing data infrastructure required for data extraction, transformation, and loading (ETL/ELT) from a wide variety of data sources.
- Build, test, and deploy data artifacts on cloud platforms using modern version control best practices.
- Collaborate with senior engineers to ensure data accuracy, integrity, privacy, security, and compliance by applying data quality assurance methods.
- Monitor data pipeline performance and assist in identifying opportunities for pipeline optimization.
- Work closely together with both reeeliance and client staff as part of an agile project team.
Requirements
- Solid foundational knowledge of data modeling concepts and modern data warehousing architectures.
- Proficiency in Python and strong SQL skills for querying and manipulating complex datasets.
- Hands-on experience with Git for version control and collaborative development.
- Practical exposure to or understanding of working within cloud environments (such as Azure or AWS).
- Eagerness to learn new ETL/ELT tools, cloud technologies, and software engineering practices.
- Foundational understanding of a typical GenAI stack (LLMs, Vector Databases, frameworks like LangChain).
- Strong problem-solving attitude and an enthusiastic, proactive approach to learning.
- Ability to work both independently on delegated tasks and collaboratively within agile project teams.
- A university degree in Computer Science, Information Technology, or a related discipline (or equivalent practical experience).
- Impeccable verbal and written communication skills in German (C1 level) and English (B2 level). Strong & discerning listener.
Skills
- Python
- SQL
- Git
- Cloud environments (Azure or AWS)
- GenAI stack (LLMs, Vector Databases, LangChain)
- Data modeling
- Data warehousing architectures
- ETL/ELT
Location
- Berlin
- Hamburg
Work Type
- Permanent employment
- Agile project team
Experience Level
- Junior
Education Level
- University degree in Computer Science, Information Technology, or a related discipline (or equivalent practical experience)
Benefits
- Space to grow: Taking ownership in international projects while continuously expanding your skills
- Mentorship and Onboarding: Structured introduction supported by dedicated mentor
- Cutting-edge workspace: Work with the latest technology and modern equipment to drive innovative solutions
- Long-term stability: A permanent employment in a family-oriented and people-focused company
- Diverse & inclusive environment: Join a truly international environment and collaborate daily with teammates from over 15 different nationalities
- Balance matters or work-life harmony: A work schedule designed to promote well-being and productivity
- Team culture & connection: Social events and structured team-building days held in Berlin and Hamburg
- Language courses: Learn, improve or practice your conversational skills on language platform Lingoda
- Never stop learning: You’ll receive a dedicated budget to industry-leading platforms like Udemy and MasterClass to sharpen your technical expertise and leadership skills
- Job perks (childcare subsidy, company pension scheme, job bike, etc…)
About the Company
- We love data...
- reeeliance guides regulated enterprises in turning AI readiness into AI-embedded operations, redesigning the workflows where risk, compliance, and business decisions actually happen. We design, build, and govern the data foundations that make it possible, combining strategic advisory, data and AI engineering, and deep SAP expertise across Hamburg, Berlin, and Porto.