Your responsibilities

In this role you have the chance to design, build and maintain data pipelines according to the client's business needs and embed them end-to-end into the given data stack
As a Data Engineer you will maintain and optimize the data infrastructure required for data extraction, transformation, and loading from a wide variety of data sources
You build, maintain, and deploy data artifacts on cloud platforms
You will ensure data accuracy, integrity, privacy, security, and compliance by applying data quality assurance methods
Your responsibility will include monitoring of data pipeline performance as well as the implementation of optimization strategies
You will work together with both reeliance and client staff as part of an agile team

What we offer

Responsible roles in international projects
Space to grow and to take over responsibility
Dedicated onboarding program
Work with the cutting‑edge technology
A permanent employment in a family‑friendly company
Working in a multinational team (more than 15 nationalities)
Flexible working hours
Participation in regular team events in Berlin and Hamburg
Further training opportunities
Modern equipment
Classes of German language
And many other job perks (childcare subsidy, company pension scheme, job bike, etc…)

Our requirements

Proficiency in both classic and recent data modeling concepts
Applicable knowledge in data warehousing architectures and best practice design
Experience and confidence in using at least one ETL tool and proficiency in Python
Ability to read and understand complex data flows paired with strong SQL skills
Hands on experience in orchestrating data pipelines within cloud platforms like AWS or Azure
Problem‑solving attitude
Independent working style
Experience with working as part of a team in agile project setups
A university degree in computer science, information technology, or related discipline
Articulate with impeccable verbal and written communication skills in English. Strong & discerning listener. Another language skill is a plus

About the role

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

Become a valued member of our data integration team and build with us highly scalable data architectures and fast data pipelines for our multinational clients. Our use cases range from data warehouse and lakehouse architectures implementations over IoT and data streaming setups to sophisticated AI scenarios in industries ranging from manufacturing, consumer products, healthcare to banking and insurance, just to name a few.

Our Tech Stack at a glance

Coding: SQL, Python | Data Pipeline: Matillion, VaultSpeed | Data Storage: Snowflake, Azure Synapse | DevOps: Azure DevOps, GitLab

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reeeliance IM GmbH

Jobs:

Data Engineer

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