Junior Data Engineer arbeitnow Reeeliance Hamburg · 10/11/2026

Primetime; Hamburg; Hybride; EUR 52 000 - 80 000; Plein temps

Avantages offerts par ce poste

Space to grow

Mentorship and onboarding

Cutting-edge workspace

Long-term stability

Diverse & inclusive environment

Language courses Lingoda

Budget for Udemy/MasterClass

Résumé du poste

Primetime seeks a junior Data Engineer to design and maintain scalable data pipelines for multinational clients. You will work on ETL/ELT, data warehousing, and AI-enabled use cases, while collaborating with engineers in an agile setup.

You will apply Python, SQL, Git, and cloud skills (Azure/AWS) to ensure data quality and security, with German and English communication throughout the project.

Qualifications

• Foundational knowledge of data modeling and data warehousing concepts.
• Proficiency in Python and SQL for querying and manipulating data.
• Experience with Git and cloud environments (Azure or AWS).
• Interest in ETL/ELT tools and modern data stack practices.
• Familiarity with GenAI components (LLMs, vector databases, LangChain).
• University degree in CS/IT or equivalent practical experience.
• Fluent German (C1) and English (B2) communication skills.

Responsabilités

• Design, build, and maintain data pipelines aligned with client needs.
• Support ETL/ELT processes and optimize data infrastructure.
• Develop and deploy data artifacts on cloud platforms with version control.
• Ensure data quality, privacy, security, and compliance within agile teams.
• Monitor pipeline performance and identify optimization opportunities.
• Collaborate with senior engineers and client staff in an agile project setup.

Connaissances

Python

SQL

Git

Cloud platforms

ETL/ELT tools

GenAI stack

LangChain

RAG

German language

English language

Formation

University degree in Computer Science/IT or related

Outils

Git

Azure

AWS

Description du poste

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.

Type: Onsite

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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