Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Münster (Hessen)
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du zuverlässige Datenpipelines mit SQL und Python, modernisierst Legacy-Systeme in die Cloud und implementierst robuste Datenintegrationsmuster für eine effiziente Datenverarbeitung.
Job Technologien
Deine Rolle im Team
- As a Data Platform Engineer, you will play a key role in building and evolving a scalable, reliable data platform that enables efficient data processing, integration, and advanced analytics across the organization.
- You'll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.
- Design, build, and operate scalable and reliable data pipelines using SQL and Python, ensuring efficient processing while optimizing performance and cost on platforms such as Snowflake and/or Databricks.
- Develop and manage end-to-end data workflows by combining dbt-based transformations with schema migration tooling (e.g., SchemaChange or similar) and implementing efficient integration patterns between platforms (e.g., external tables, Snowpipe, connectors, or bulk loads).
- Create and maintain Snowflake stored procedures while orchestrating complex workflows using tools such as Airflow, ADF, or Databricks Workflows to ensure stable and automated data operations.
- Operate and modernize existing legacy systems (e.g., PostgreSQL, Talend), supporting their gradual migration into cloud-based architectures across AWS and/or Azure, including core services like storage, compute, IAM, and networking.
- Ensure high platform reliability by implementing strong data quality, observability, and monitoring practices (including alerting and SLAs), while applying security, governance, and CI/CD standards within Git-based development workflows.
Unsere Erwartungen an dich
Qualifikationen
- You have a solid understanding of ETL/ELT concepts with a batch-oriented mindset and are open to evolving toward streaming, supported by strong data modeling fundamentals across normalized and analytical structures.
Erfahrung
- You have strong hands-on experience with Snowflake, including performance tuning, workload management, and cost optimization, as well as strong SQL and Python skills and proven experience building reliable, scalable data pipelines.
- Experience with Databricks is beneficial.
- You are experienced in dbt-based transformation workflows as well as schema migration approaches and understand how to integrate modern data platforms effectively.
- You are experienced in orchestration, cloud platforms (AWS and/or Azure), and the operation and modernization of legacy systems, and you follow best practices in CI/CD and Git-based development.
- You bring a strong focus on data quality, observability, reliability, and platform governance, and would stand out with additional experience in Infrastructure-as-Code (e.g., Terraform), open table formats (Delta Lake, Iceberg), streaming technologies (e.g., Kafka, Event Hubs, Kinesis), FinOps practices, or data contracts and schema evolution.
Unser Angebot
- In addition to our range of benefits, such as 30 fixed vacation days per year and flexible working hours, this role offers you a modern tech environment.
- Work with state-of-the-art tools and technologies in a collaborative and forward-thinking data environment.
- Close collaboration with various teams in an open and supportive working environment that supports continuous learning and skill development.
- Additional perks and benefits include job bike leasing, e charging stations, public transport tickets, access to a company doctor, and height adjustable desks in the office.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Eucon GmbH
Eucon ist ein digitaler Pionier der Daten- und Prozessintelligenz. Als Wegbereiter für den digitalen Wandel unterstützt Eucon seit 1997 Unternehmen in den Branchen Automotive, Versicherungen und Real Estate dabei, ihre Prozesse zu digitalisieren, Datenschätze wertbringend zu nutzen und digitale Geschäftsmodelle umzusetzen.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1997
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Data Platform Engineer
- Ort
- Münster (Hessen)
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
