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(Senior) Data Platform Engineer (m/f/d) 80% - 100%

Digitec Galaxus AG
  • Veröffentlicht:

    22 Dezember 2023
  • Pensum:

    80 – 100%
  • Vertragsart:

    Festanstellung
  • Arbeitsort:Zürich
Zurück zur ÜbersichtAuf diese Stelle bewerben

(Senior) Data Platform Engineer (m/f/d)



  • Zürich

  • 80% - 100%

  • Product Development

  • Englisch


Do you want to work on the largest online shop in Switzerland in an exclusive team of data engineers? Team Empire is looking for a Senior Data Platform Engineer. As a Senior Data Platform Engineer, you lead the designing, implementing, and maintaining of our data platform components on the Google Cloud Platform (GCP). You work closely with cross-functional teams to ensure the smooth operation of our data systems and enable efficient data processing, storage, and analysis. You ensure the optimal software design of our products.


Aufgaben



  • Drive the design, development, and operation of scalable data platform solutions.

  • Enable data scientists, data analysts, and machine learning engineers to discover, ingest and exchange data.

  • Implement federated data governance measures with support of our Data Architect and our Data Protection Officer.

  • As part of a Scrum team, you are responsible for independently driving the domain forward and helping to shape our vision, roadmap, and features.

  • Stay up to date with emerging technologies and industry trends to continuously enhance our data platform.


Anforderungen



  • A higher specialized education in the field of computer science (ETH/UNI/FH).

  • At least 3 years of experience as a Data Platform Engineer or equivalent.

  • At least 5 years of professional experience in Python programming and familiar with software design best practices.

  • DevOps skills, including hands-on experience with CI/CD, infrastructure automation, configuration management, and deployment tools (e.g. Docker, Kubernetes, Airflow).

  • Solid understanding of cloud technologies (ideally GCP and BigQuery), distributed systems and data processing frameworks (e.g., Spark), and stream processing frameworks (e.g. Kafka, Flink)

  • Experience in designing and building large-scale data platforms utilising infrastructure as code (IaC), such as Terraform, and familiar with data warehouse solutions and ETL/ELT processes & tools.

  • Excellent communication and teamwork abilities in English, German is a plus.


Unser Angebot



  • A chance to work on a cutting-edge data platform (see TechRadar) and concepts like data mesh and streaming in a company that deeply lives by the platform mindset

  • A motivated and humorous team that likes direct and uncomplicated communication

  • Many opportunities to develop professionally, such as workshops, brown bag lunches, guilds and of course our EDU points

  • Opportunity to take part in various fun events such as hackathons, hiking, skiing, LAN parties, or Friday night drinks

  • After-work events and drinks in the in-house café-bar "Pause" & special prices on our entire range (Digitec & Galaxus)

  • You can flexibly arrange your working hours and locations - home office and remote work are here to stay

  • Company culture that's driven by rapid failure and learning - Our Values

  • Want to know more about us? Go to our tech blog here

Auf diese Stelle bewerben

Arbeitssprache

Englisch

Arbeitspensum

80% - 100%

Standort

Digitec Galaxus AG
Pfingstweidstrasse 60b
CH-8005 Zürich

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