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Ramp106 Gmbh

4 days ago

DATA ENGINEER*IN (m/f/d)

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Company information

Company
Ramp106 Gmbh
Location
Hamburg Germany
Posted
4 days ago
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Job description


Your Team


The Data & Automation Team is part of the OMR Tech department and acts as a Center of Excellence for data and process optimization at OMR. We create the basis for well-founded, data-driven decisions and smooth operations across all business units (Festival, Podstars, Reviews, Education, Jobs). We see ourselves as strong business partners: We build the bridges between complex data structures, smart automation, and real business impact.

Fancy maximum freedom in an entrepreneurial environment? Do you love building data pipelines that just run, and infrastructure everyone can rely on? Then strengthen our team and take responsibility for the technical foundation of our data platform. With us, you don't just operate pipelines: you build the data infrastructure on which the entire OMR cosmos makes its decisions!


Where you really make a difference


  • You will be responsible for our ELT pipeline infrastructure, develop, operate, and monitor our Airflow DAGs on Cloud Composer, and manage our connector landscape (Airbyte, Fivetran).
  • You will build your own Airflow operators for data sources without standard connectors and connect new sources to our Data Warehouse (currently over 28 external systems).
  • You will operate and optimize our BigQuery infrastructure, from performance tuning, partitioning, and clustering, monitoring query costs, and clean schema management in the Raw Zone.
  • You will ensure Data Reliability, expand monitoring and alerting, maintain source freshness checks, and identify pipeline failures before the business units feel them.
  • You will further develop our CI/CD pipelines (GitHub Actions) for ingestion and dbt and actively participate in code reviews.
  • You will lay the infrastructural foundation for our strategic data projects, such as the development of our central audience data platform, and contribute your ideas on architecture and tooling.

What sets you apart


  • You have several years of professional experience in Data Engineering and have already been responsible for ELT/ETL pipelines and data orchestration in a production environment.
  • You are proficient in Python and SQL and have sound experience with Airflow or Cloud Composer.
  • You are familiar with BigQuery (performance, costs, permissions) and have foundational GCP knowledge (IAM, Cloud Storage, ideally Workload Identity Federation).
  • Ideally, you have already worked with dbt, Fivetran, or Airbyte and are familiar with tools like Docker, Terraform, or Cloud Monitoring.
  • You act proactively, work in a structured manner, and are eager to take full responsibility for business-critical infrastructure.
  • You have fluent German language skills and good written and spoken English skills.

What's in it for you


  • The opportunity to contribute to one of the most exciting German media companies.
  • A feel-good office with height-adjustable desks, massage chairs, mini-gym, summer deck, and much more, located directly in Hamburg's Schanzenviertel.
  • Freshly prepared delicacies from our Campus Team, as well as a large selection of muesli and beverages.
  • Company fitness through EGYM Wellpass, mental health services from nilo, and company pension plans.
  • Flexible working hours and heycare for childcare, pet care, or care for relatives, and greater work-life balance in everyday life.
  • Bicycle leasing, subsidy for the HVV Proficard, JobAuto, and employee discounts on partner products.
  • Access to all OMR further education formats and a steep learning curve in digital subject areas.
  • The opportunity to network with players in the digital scene through the OMR cosmos.


If we have sparked your interest and you want to go to the office with a good mood in the future, Elisabeth Barheine looks forward to receiving your application :-)

OMR is committed to equal opportunity, diversity, and inclusion in the workplace. We prohibit any form of discrimination and harassment based on gender, skin color, religion, sexual orientation, origin, disability, gender identity, or other protected characteristics.

Come and be as you are.

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