About the role

Data is undeniably one of the world's most valuable resources. However, it's futile if it's not in the right place or the right setup. We strive to place data where it's needed most and can be used to its fullest potential.

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, just to name a few.

Your responsibilities

You will support the team in designing, building, and maintaining data pipelines according to client business needs and embedding them end-to-end into the given data stack
On this role, you will assist in maintaining and optimizing data infrastructure required for data extraction, transformation, and loading (ETL/ELT) from a wide variety of data sources
As a junior Data Engineer, you will build, test, and deploy data artifacts on cloud platforms using modern version control best practices
You will collaborate with senior engineers to ensure data accuracy, integrity, privacy, security, and compliance by applying data quality assurance methods
Monitoring data pipeline performance and assisting in identifying opportunities for pipeline optimization
In this role, you will work closely together with both reeeliance and client staff as part of an agile project team

Our 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)
First-hand experience building a basic RAG application or deploying an open-source model locally
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)
Articulate with impeccable verbal and written communication skills in German (C1 level) and English (B2 level). Strong & discerning listener

What we offer

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
…and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…)

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Junior Data Engineer

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