Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Ostfildern
- Working Model
- Onsite
Job Summary
In this role, you will develop, operate, and optimize scalable data pipelines and data architectures in modern cloud environments while collaborating closely with Data Analysts and Scientists.
Job Technologies
Your role in the team
- You develop, operate, and optimize scalable data pipelines for analytics and reporting applications.
- You, together with the team, are responsible for designing and further developing our data architecture and Data Lakehouse on modern platforms (Azure, Databricks) - with initiative and a holistic perspective.
- You ensure that our data is accurate, consistent, and efficiently usable - end-to-end, from extraction from sources (databases, APIs, scraping, unstructured data) to visualization.
- The implementation of standards and monitoring of data quality fall within your area here.
- You work closely with Data Analysts and Data Scientists to provide data models and automations, among other things, for dashboards, analyses, and AI use cases.
- In this context, you also conduct mutual code reviews and can supervise working students if necessary.
- You actively contribute from the data side to our client projects and can support with pragmatic evaluations.
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Our expectations of you
Education
- A completed degree with an analytical focus such as (business) informatics, data science, physics, or a comparable qualification.
Qualifications
- Touchpoints with the Microsoft Stack are an advantage.
- A structured, quality-conscious work approach and enjoyment in familiarizing oneself with new technologies and data structures.
- You possess an analytical mindset, are pragmatic, and results-oriented.
- Even in complex projects, you keep an overview and drive topics forward independently.
- Thereby, you manage to translate the requirements from a technical perspective into solutions and act as a sparring partner for product management.
- Very good German skills (C1) and good English skills in spoken and written form.
Experience
- Several years of practical professional experience as a Data Engineer, Analytics Engineer, or in a similar role.
- Excellent knowledge of SQL and Python, as well as practical experience with Spark-based ETL/ELT processes and performant data models (SSOT, Star Schema, etc.).
- Experience with modern cloud environments (e.g., Azure, AWS, or GCP) and tools such as Databricks or Snowflake.
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What we offer
- A team of young, ambitious colleagues who want to make a difference together - with a passion for data, innovation, and a clear mission.
- Flexible working hours, option for remote work, 30 days of vacation, and an attractive salary.
- Design freedom and responsibility - your ideas matter and are directly incorporated into exciting client projects.
- Training opportunities & certifications to support your professional development and continuously expand your skills.
- Regular team events and an open, appreciative working atmosphere.
- Benefits for your health - with EGYM Wellpass, bike leasing, private health insurance, and company pension scheme.
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Topics that you deal with on the job
Job Locations
This is your employer
Promotor XD GmbH
PROMOTOR XD GmbH, based in Mörfelden-Walldorf, Germany, has been providing consulting and training solutions for the automotive industry for over 45 years. As a subsidiary of the Deutsche Automobil Treuhand (DAT Group), it assists vehicle manufacturers, importers, and dealers in digitizing their sales and service processes. With a team of 11-50 employees, the company takes a practical and results-oriented approach.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Consulting
Data Engineer
- Location
- Ostfildern
- Working Model
- Onsite
- Diversity
- Open for all genders
