Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bonn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will build scalable data platforms in cloud environments, implement automation with Terraform, and manage lakehouse architectures and streaming solutions with Kafka.
Job Technologies
Your role in the team
Do you prefer building stable, scalable data platforms rather than just individual pipelines? Cloud, automation, and clean architectures are exactly your thing? Then this role is perfect for you.
- You work in the consulting environment and repeatedly implement new, exciting data projects for various clients.
- You design, build, and operate modern data platforms in AWS, Azure, or GCP, and consistently automate infrastructure with Terraform.
- You develop and operate Lakehouse and Data Warehouse architectures (e.g., Iceberg, Delta Lake) and integrate and operate streaming architectures, e.g., with Kafka.
- You work with platforms such as Snowflake and/or Databricks and ensure stability, security, and scalability.
- You are responsible for CI/CD, monitoring, testing, and observability for data platforms, and you optimize the performance and costs of data-intensive systems.
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Our expectations of you
Qualifications
- You are familiar with streaming architectures, e.g., with Kafka, and are confident in working with modern data platforms such as Databricks and/or Snowflake, as well as with dbt and Airflow or comparable orchestration tools.
- You have a very good understanding of data architectures, especially Lakehouse and Data Warehouse approaches, and are capable of designing, developing, and operating them.
- You have practical experience in CI/CD, monitoring, testing, and observability within the context of data platforms.
- You enjoy developing the team further and like to contribute through knowledge transfer, mentoring, or professional exchange.
- You think analytically and architecturally, work self-organized, and take responsibility in complex client projects.
Experience
- You bring several years of professional experience as a Data Engineer or in a comparable role - ideally in a consulting or project environment.
- You have excellent SQL skills and extensive experience in data modeling (e.g., dimensional modeling, Data Vault, normalization & denormalization).
- You have experience in building and operating cloud-based data platforms in AWS, Azure, or GCP, and ideally automate infrastructure with Terraform.
- Your experience with Spark / PySpark, Python, or Trino / Presto is an advantage but not a requirement.
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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 Infrastructure & Platform
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
