Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bonn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable ETL/ELT data pipelines for batch and streaming processing, utilize technologies like Spark and SQL, and support various client projects in data modeling.
Job Technologies
Your role in the team
- You love to make data flow, process large volumes of data efficiently, and build clean pipelines? Your focus is clearly on development and data processing? Then you are in the right place.
- You work in the consulting environment and continuously develop new, diverse data solutions for different clients.
- You develop scalable ETL/ELT data pipelines for batch and streaming processing, working with Spark / PySpark, Python, and SQL.
- You implement data models according to Kimball, Data Vault, or Lakehouse principles.
- You transform, normalize, and denormalize data from various source systems.
- You orchestrate data pipelines with Airflow or comparable tools and work with Databricks, Snowflake, or similar platforms.
- You support data analysis and machine learning pipelines.
- You ensure quality through testing, documentation, and CI/CD.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- You are proficient in Snowflake and/or Databricks and experienced in data modeling (dimensional modeling, Data Vault, normalization & denormalization).
- You think analytically and enjoy solving complex data problems cleanly.
- You work in a self-organized manner and keep an overview even when managing multiple client projects.
- You are interested in consulting and diverse, exciting projects.
- You communicate openly and constructively and value open feedback.
Experience
- You bring several years of professional experience in the topics mentioned above and have very good SQL skills as well as excellent knowledge of Spark / PySpark.
- You work confidently with Python, have experience with dbt and Airflow or comparable orchestration tools.
This text has been machine translated. Show original
What we offer
- You work on exciting client projects in a creative and dynamic work environment with plenty of room for your own ideas and personal development.
- You will be part of a team that works agile and flexible to always achieve the best results.
- Design your workday according to your needs - with the option for home office and flexible working hours.
- You have the opportunity to actively shape and further develop the data department with us.
- You benefit from intensive internal knowledge transfer and have the opportunity to actively participate in the development of the team — both professionally and personally.
- In our open and collegial environment, teamwork is highly valued – we believe that the best ideas emerge through exchange.
- We value diversity and promote a culture of inclusion. Everyone is warmly welcome here!
- You will receive an attractive salary, various benefits, and cool employee events.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Haeger Gmbh
Founded in 2010, Haeger GmbH is a renowned company specializing in the trade of branded jewelry and luxury watches. With a focus on professionalism and discretion, the firm has established itself as a trusted partner for customers.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Data Engineer - Focus on Programming & Data Pipelines
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
