Data & Platform Engineer (w/m/d) at Berliner Verkehrsbetriebe BVG

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 26

Salary

50000.0

Posted On

24 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

We are looking for an employee for the field of Cloud & Data Engineering. Salary classification according to the TV-N Berlin collective agreement will be based on professional experience.

You'll love this about us

We are the heartbeat of Berlin! Today we are shaping the mobility of tomorrow and working with you to make our capital city sustainable. For people and the climate, with heart and mind.

future-proof workplace
Work-life balance (flexible working hours with time off in lieu, up to 10 days of mobile working per month)
30 days of vacation + December 24th off
€2,100 Christmas bonus and €500 holiday bonus per year, plus €350 for our health portal in 2026 (including sports courses and massages)
personal driving licence
Occupational pension scheme (VBL)
capital-forming benefits (VL)

Job description

The Cloud & Data Engineering department is responsible for the strategic development and operation of the company-wide cloud and data platforms. It continuously develops modern cloud services, container platforms, and data engineering solutions, ensuring a high-performance, secure, and future-proof IT landscape. This lays the foundation for efficient data utilization and the digital transformation of BVG. Your tasks in detail:

Together with your team, you will be responsible for the setup, operation, and continuous development of the company-wide data platform on Microsoft Azure, with a focus on Azure Databricks, modern Lakehouse architectures, and Microsoft Fabric.
As part of central data engineering, you will develop and operate ETL/ELT processes using Spark, Python and SQL, integrate data from a wide variety of source and business systems, and ensure its reliable, high-performance and quality-assured processing.
Together, you ensure the stable, secure, and economical operation of the data platform and drive the automation of deployments, tests, and operational processes through CI/CD pipelines and Infrastructure as Code.
You work closely with specialist departments on data-driven projects, advise on the use of data, and support the implementation of technical requirements.
Your tasks also include establishing standards and best practices in data engineering, as well as ensuring and complying with governance, data protection and security requirements.

qualification

Responsibilities

We are looking for an employee for the field of Cloud & Data Engineering. Salary classification according to the TV-N Berlin collective agreement will be based on professional experience.

You'll love this about us

We are the heartbeat of Berlin! Today we are shaping the mobility of tomorrow and working with you to make our capital city sustainable. For people and the climate, with heart and mind.

future-proof workplace
Work-life balance (flexible working hours with time off in lieu, up to 10 days of mobile working per month)
30 days of vacation + December 24th off
€2,100 Christmas bonus and €500 holiday bonus per year, plus €350 for our health portal in 2026 (including sports courses and massages)
personal driving licence
Occupational pension scheme (VBL)
capital-forming benefits (VL)

Job description

Together with your team, you will be responsible for the setup, operation, and continuous development of the company-wide data platform on Microsoft Azure, with a focus on Azure Databricks, modern Lakehouse architectures, and Microsoft Fabric.
As part of central data engineering, you will develop and operate ETL/ELT processes using Spark, Python and SQL, integrate data from a wide variety of source and business systems, and ensure its reliable, high-performance and quality-assured processing.
Together, you ensure the stable, secure, and economical operation of the data platform and drive the automation of deployments, tests, and operational processes through CI/CD pipelines and Infrastructure as Code.
You work closely with specialist departments on data-driven projects, advise on the use of data, and support the implementation of technical requirements.
Your tasks also include establishing standards and best practices in data engineering, as well as ensuring and complying with governance, data protection and security requirements.