Data Engineer (f/m/d)

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GEA Group
Munkavégzés helye

Németország

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- ANALYTICS AZURE SECURITY SQL PYTHON PANDAS CLOUD SPARK ACCESS DATA MANAGEMENT
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Egyetem

Teljes munkaidő Általános munkarend

ANALYTICS AZURE SECURITY SQL PYTHON PANDAS CLOUD SPARK ACCESS DATA MANAGEMENT

Angol középfok 1-3 év tapasztalat Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

GEA Group is seeking a motivated, hands-on Data Engineer (f/m/d) to join our global data platform team within our Enterprise IT organization at our headquarters in Düsseldorf. In this role, you will play a key part in designing, building, and optimizing data pipelines that enable advanced analytics and data-driven decision-making across the organization.

We are at the beginning of a strategic journey to establish a decentralized data management operating model on our global data platform. This transformation is in its early stages, and we are looking for professionals who are eager to contribute, innovate, and help shape this journey. If you thrive in an environment where collaboration meets responsibility and where your ideas can drive meaningful change, this is your opportunity to make a real impact.

Your Tasks:

In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes leveraging Azure Data Factory, Databricks (Lakeflow), and other modern technologies. You will create and optimize data models for both structured and unstructured data to enable impactful analytics and business use cases.

Collaboration is key — you will work closely with domain teams, such as Division, GEA Digital and other Corporate Function to implement Data Mesh principles and support a federated data management approach. By applying CI/CD pipelines and DataOps best practices, you will automate workflows and deployments to ensure efficiency and reliability.

A strong focus on data quality, security, and compliance across all data products and use cases is essential. You will partner with business stakeholders to understand requirements and deliver reliable, high-performance data solutions.

Finally, you will drive continuous improvement of our global data platform and analytics capabilities through innovation and the adoption of best practices.

Requirements

Degree in Computer Science, Data Engineering, Information Systems, or a related field.
At least3 years of professional experience in data engineering or a similar technical role.
Strong hands-on experience with modern data platforms, particularly Databricks and Azure Data Factory, as well as solid proficiency in SQL and Python-based frameworks (e.g., DBT, Pandas).
Proven experience with CI/CD pipelines, DataOps practices, and contemporary data engineering workflows.
Ideally, experience with Data Mesh concepts and federated data management approaches.
Experience working with cloud-based data platforms, preferably Microsoft Azure.
An independent, proactive, and solution-oriented working style combined with strong teamwork skills.
Excellent communication skills in English, .

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What we offer

GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities and equal qualification are welcome and will be given preferential consideration.

Company info

GEA is one of the world's largest system suppliers for the food, beverage[1] and pharmaceutical industries. The technology group, founded in 1881 and operating internationally, focuses on machinery and equipment as well as sophisticated process technology, components and comprehensive service offerings. With more than 18,000 employees, GEA generated sales of around EUR 5.4 billion in fiscal year 2024 in over 150 countries.