About us
We love data.
Envisioning advanced data architectures and bringing them to live is our passion.
reeeliance is a consultancy specializing in Data Management, Fast Data, Advanced Analytics, and DataOps. We further support our clients in modernizing their SAP landscape and moving their business to the cloud.
Based in Hamburg, Berlin, and Porto, we combine strategic foresight with sound data and software engineering craftsmanship to define, build, and operate scalable information ecosystems for our international clients, helping them transform into real data-driven enterprises.
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 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
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 of data accuracy, integrity, privacy, security, and compliance by applying data quality assurances methods
Your responsibility will include monitoring of data pipeline performance as well as the implementation of optimization strategies
You will work together with both reeeliance and client staff as part of an agile team
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
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…)