Data Engineer / Data Platform Architect (w/m/d) at Bausparkasse Mainz AG

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 26

Salary

50000.0

Posted On

29 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Bausparkasse Mainz AG (BKM) is a financial services provider specializing in home savings plans, construction financing, real estate, and retirement planning. Founded in 1930 by architects, BKM's goal was to offer a one-stop shop for all home and construction financing needs. Bausparkasse Mainz sees itself as the go-to partner for anyone seeking affordable homeownership, profitable wealth accumulation, and future planning.

With around 230 employees in the office and over 250 employees in the field throughout Germany, we accompany and support our customers on their way to their own home.

We are looking for someone to join our headquarters in Mainz as soon as possible as

Data Engineer / Data Platform Architect (f/m/d)

Your tasks:

They are developing the target architecture of our data platform – from a classic DWH to an integrated solution for reporting, BI and data science (e.g., data lake/lakehouse).
They model technically and professionally viable data models (e.g. relational, dimensional, possibly Data Vault) and are responsible for central data models for core processes.
They design and implement ETL/ELT pathways and data pipelines to connect our source systems – scalable, performant, robust and automated.
They work closely with specialist departments to support data-driven use cases from requirement to productive implementation.
They ensure data quality, transparency and governance (e.g. metadata management, data lineage, data protection).
They will be responsible for the operation, monitoring, and continuous improvement of our data platform.

Your profile:

Several years of experience as a Data Engineer, DWH Developer or Data Platform Architect in complex corporate environments, ideally in the financial services sector.
Excellent knowledge of SQL as well as data modeling and database design (e.g., star/snowflake schema, normalization).
Solid experience with ETL/ELT processes and common tools/frameworks for data integration and orchestration.
Practical experience with modern data platforms, e.g., cloud data warehouses (Redshift, BigQuery, Snowflake), data lake/lakehouse concepts, or comparable on-premises technologies.
Excellent communication skills, enjoyment of collaborating with specialist departments, and the ability to explain complex issues in an understandable way.
Structured, independent work style and a high level of quality awareness.

We offer:

Diverse and challenging tasks with a high degree of personal responsibility and considerable creative freedom.
Excellent further training opportunities
Flexible working hours including the option of working remotely
Permanent employment contract, 30 days of vacation plus additional days off
Flat hierarchy, collegial team and family-like atmosphere
Occupational pension scheme

Responsibilities