Job
- Level
- Experienced
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you design and operate modern data platforms on AWS, Azure, or GCP, automate infrastructure with Terraform, and integrate streaming architectures using Kafka.
Job Technologies
Your role in the team
- Do you prefer building stable, scalable data platforms over 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 manage streaming architectures, e.g., with Kafka.
- You work with platforms like 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 proficient 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 you are able to design, further develop, and operate them.
- You have practical experience in CI/CD, monitoring, testing, and observability in the context of data platforms.
- You enjoy the development of the team and like to contribute through knowledge transfer, mentoring, or professional exchange.
- You think analytically and architecturally, work independently, and take responsibility in complex client projects.
Experience
- You have several years of professional experience as a Data Engineer or in a comparable role - ideally in a consulting or project environment.
- You have very good 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 must.
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What we offer
- Exciting projects: You work on diverse client projects in a professional consulting environment where you can contribute your experience and own ideas, take responsibility, and become a game changer in the project with your impulses.
- Flexibility: Customize your workday with home office and flexible working hours according to your needs. For personal exchange and our togetherness, we meet on-site once a week.
- Sharing knowledge & growing together: Whether architecture school, skill factories, or guilds – we offer many opportunities to build, share, and learn from each other. You can contribute your experiences and help shape the professional development of your colleagues.
- Team spirit: Look forward to an open and collegial environment where we support each other, share knowledge, and value different perspectives.
- Health & Benefits: With our weekly "Active Break," you incorporate movement and mobilization into your workday—whether in the office or from home. Additionally, you benefit from corporate benefits, JobRad, and—by individual agreement—Urban Sports Club.
- Shared experiences: Whether it's a regulars' table, game night, New Year's kickoff, or summer party - we regularly offer opportunities to get to know colleagues outside of the project routine.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About 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
