Senior Data Engineer (m/f/d)

PATRIZIA AG; Deutschland; Hybrid; EUR 75.000 - 90.000; Vollzeit

Zusammenfassung

A leading real estate investment firm in Germany is looking for a Senior Data Engineer to join their team in Augsburg or Frankfurt/Main. This role focuses on designing and developing scalable ETL pipelines and integrating data from various sources using Databricks. The ideal candidate will have strong expertise in data engineering and will work closely with cross-functional teams to deliver data-driven solutions. The position offers competitive pay, hybrid working options, and opportunities for career development.

Leistungen

Competitive pay and paid time off

Hybrid working model

Career progression programs

Health and well-being benefits

Qualifikationen

• Proven experience as a Data Engineer, with strong expertise in Databricks or similar big data platforms.
• Hands-on experience in developing and managing ETL workflows using Apache Spark, Delta Lake, SQL, Python, or Scala.
• Deep understanding of data architecture principles and data modeling.

Aufgaben

• Design, build, and maintain scalable and efficient ETL processes on our Databricks-based data platform.
• Integrate data from multiple sources using batch and streaming technologies.
• Collaborate with cross-functional teams to understand data requirements.

Kenntnisse

Expertise in Databricks

ETL workflows using Apache Spark

Data architecture principles

Cloud platforms, especially Microsoft Azure

Problem-solving skills

Fluency in English

Tools

SQL

Python

Scala

Jobbeschreibung

We are looking for a Senior Data Engineer (m/f/d) to join our data team in Augsburg or Frankfurt/Main and play a key role in shaping and building our modern data platform based on Databricks.

In this role, you will be responsible for designing and developing robust and scalable ETL pipelines, integrating data from various internal and external sources. You will work closely with business stakeholders, data scientists, and data analysts to deliver reliable data products and enable data-driven decision-making across the company.

Main Responsibilities

• Design, build, and maintain scalable and efficient ETL processes on our Databricks-based data platform
• Integrate data from multiple sources using batch and streaming technologies
• Develop and implement a modern data architecture, including data modeling, data quality, and metadata management
• Ensure high performance, reliability, and maintainability of data pipelines
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Drive best practices in data engineering, including version control, testing, and deployment automation
• Contribute to the continuous improvement of our data infrastructure and tooling

Skills & experience required

• Proven experience as a Data Engineer, with strong expertise in Databricks or similar big data platforms
• Hands-on experience in developing and managing ETL workflows using tools such as Apache Spark, Delta Lake, SQL, Python, or Scala
• Deep understanding of data architecture principles and data modeling (e.g. dimensional modeling, data lakes, data warehouses)
• Experience with cloud platforms (esp. Microsoft Azure) is a plus
• Strong problem-solving skills and a proactive mindset
• Fluent in English; German is a plus

What we offer

• Competitive pay and paid time off, including holidays designated for volunteering
• Hybrid working - you will be based in our Augsburg or Frankfurt/Main office 3 days a week with the option to work the remainder of the week remotely
• Career progression and talent development programs
• Health and well-being benefits

Sounds like you?

If you want to create a better tomorrow with us, we want to hear from you via our job portal (www.patrizia.ag/careers). Together, let's make a positive impact.

We're proud to be an equal opportunity workplace.

At Patrizia, we are committed to leading the industry in how we advance the equity diversity and inclusion of our global teams. The opinion and experience of each individual counts. With inherent trust in each other, we do our greatest work steeped in courage, integrity, optimism, collaboration and tenacity.