Job
- Level
- Junior
- Location
- Hamburg, Berlin
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will build scalable data architectures and pipelines, optimize ETL/ELT processes, and work with cloud technologies to provide data solutions for various industries.
Job Technologies
Your role in the team
- 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.
- 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.
- In dieser Rolle unterstützen Sie bei der Wartung und Optimierung der Dateninfrastruktur, die für die Datenextraktion, -transformation und -ladung (ETL/ELT) aus einer Vielzahl von Datenquellen erforderlich ist.
- 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.
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Our expectations of you
Education
- A university degree in Computer Science, Information Technology, or a related discipline (or equivalent practical experience).
Qualifications
- 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.
- 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.
- Articulate with impeccable verbal and written communication skills in German (C1 level) and English (B2 level). Strong & discerning listener.
Experience
- Hands-on experience with Git for version control and collaborative development.
- First-hand experience building a basic RAG application or deploying an open-source model locally.
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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 for industry-leading platforms like Udemy and MasterClass to sharpen your technical expertise and leadership skills.
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Topics You Will Work On
Job Locations
About Your Employer
Reeeliance
reeeliance IM GmbH, based in Hamburg, specializes in corporate consulting in the field of data management. They assist companies in building modern data architectures and provide solutions in data engineering and analytics. With offices in Hamburg, Berlin, and Porto, the company combines consulting, software development, and data integration.
Description
- Company Type
- Digital Agency
- Working Model
- Onsite
- Industry
- Consulting
Junior Data Engineer
- Location
- Hamburg, Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
