Data Engineer (m/f/d)

Remote from: Germany
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 16 Sep 2025
Apply before: 16 Oct 2025
Experience level: Entry-Level
Junior
Views / Applies: 19 / 2

Enterprise IoT Suite for the real estate sector

Real Estate
2019

We support our customers in making buildings more climate-friendly, more comfortable and more affordable with connected real estate, simple products and high processing and service quality. We provide our customers with efficient, tailored processes and applications for operating IoT infrastructures in real estate, as well as our flexible Enterprise-IoT-Suite, in which we manage data from many millions of sensors into intelligent products and services.With a team of product and IT experts, the future position holder will be responsible for further developing beyonnex’s Enterprise-IoT-Suite and services to ensure a stable and scalable technological foundation for the strategic development of the group of companies. In addition, the following tasks will be part of your position:

Design scalable, maintainable cloud-based data lake architectures and choosing appropriate data formats and partitioning strategies.
Define and maintain schemas, data catalogs, and metadata
Ensure data quality, apply schema evolution, and implement modular data models
Implement access controls and permission policies
Build ETL/ELT pipelines to ingest data from databases, APIs, flat files, or real-time event streams.
Process and transform large-scale data in batch or streaming mode
Clean, normalize, and join datasets to enable analytics and machine learning
Automate workflows using DAG-based tools
Implement error handling, alerting, retries, and SLAs
Monitor pipeline health and performance using logging and metrics systems.

We are searching for a motivated candidate with following qualifications:

Master-Degree (or better) in Mathematics, Computer Science or related fields / comparable education.
At least five years of work experience in data engineering
Strong analytical mindset and skills
You are competent with Git, CI/CD for data, containers/IaC basics and are comfortable with warehouse / lakehouse patterns.
You have strong verbal and written communication skills and you are able to articulate technical concepts to non-technical stakeholders.
New technologies awaken your interest and you have the ability to adapt to changing product requirements.

Nice-to-haves:

Project experience with data analysis from environmental sensors and metering data.
German language skills or the willingness to learn German are a plus

We have a modern environment with flat hierarchies. Our colleagues very often highlight our great spirit to achieve our goals. Our company is a place to be yourself, aim high, take care of each other and grow without limits. Additionally, we offer following benefits:

Modern hardware and the opportunity to work with cutting-edge technologies
Besides our 100% remote work possibility, we offer an office in Hamburg (Hammerbrook) for a more personal collaboration
Space and budget for personal growth
Flexible working hours
30 days vacation
Events for employees to celebrate our achieved goals and great team-spirit
Community of Practice and Knowledge Nuggets for improving your skills
Mental Health Programme & Corporate Benefits
JobRad-Leasing
Coffee, tea and water for free in our office

If you are interested in the role, this is they way how to proceed:

Send us your complete application documents (curriculum vitae and references).
Once you’ve submitted an application, if successful, you will directly get in touch with our HR team.
You’ll meet potential team members of beyonnex to get more information about our company and why we love to work at beyonnex.

In case you have any questions about the offered position, your application or the application process, send us an email to [email protected].

Apply now >