Data Platform Engineer (m/f/d) at C&A
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

16 Dec, 26

Salary

50000.0

Posted On

17 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

With over 1,300 stores in 17 European countries and more than 25,000 employees, C&A is one of Europe’s leading fashion retailers. Every day, C&A welcomes millions of visitors to its stores in Europe and to its online shop. We are building on more than 180 years of experience in the fashion industry and continuously modernize the company to become an omnichannel fashion retailer.


At C&A we are driven by our values and we believe that affordable and high-quality fashion is not contradictory to caring for people & the planet, we are always forward thinking and acting to develop our business and innovate the industry. This is your chance to join the C&A team as Data Platform Engineer!


We are looking for a Data Platform Engineer to build, operate and evolve our central data platform. Our platform goes beyond a single technology and includes a Snowflake-based data platform as well as multiple data and analytics tools and applications. In this role, you will ensure scalable, reliable and governed data usage while also taking responsibility for platform services and selected data applications within our ecosystem.


Your Responsibilities


  • Concept and operate scalable data pipelines and platform services
  • Develop and maintain our Snowflake-based data platform
  • Administer and operate data platform-related applications and tools (e.g. data integration, BI, data processing tools, data catalog tool)
  • Ensure platform reliability, performance, observability and efficient resource usage (monitoring, alerting, SLA tracking)
  • Establish and enforce DataOps and CI/CD practices for data workloads
  • Enable self-service data usage through reusable platform capabilities

Ownership Of


  • Core components of the data platform and selected platform applications
  • Platform stability, scalability and performance
  • Engineering standards and best practices
  • Enablement of internal data teams

What You Bring


  • Proven experience in data engineering or data platform engineering
  • Strong expertise in at least one of the following areas
  • Cloud data platforms (e.g. Snowflake)
  • Data integration / ETL tools
  • BI / analytics platforms
  • Strong SQL and data modeling skills
  • Experience with workflow orchestration
  • Experience with CI/CD, Git and DevOps practices
  • Understanding of data architecture, platform operations and observability


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Responsibilities

With over 1,300 stores in 17 European countries and more than 25,000 employees, C&A is one of Europe’s leading fashion retailers. Every day, C&A welcomes millions of visitors to its stores in Europe and to its online shop. We are building on more than 180 years of experience in the fashion industry and continuously modernize the company to become an omnichannel fashion retailer.


At C&A we are driven by our values and we believe that affordable and high-quality fashion is not contradictory to caring for people & the planet, we are always forward thinking and acting to develop our business and innovate the industry. This is your chance to join the C&A team as Data Platform Engineer!


We are looking for a Data Platform Engineer to build, operate and evolve our central data platform. Our platform goes beyond a single technology and includes a Snowflake-based data platform as well as multiple data and analytics tools and applications. In this role, you will ensure scalable, reliable and governed data usage while also taking responsibility for platform services and selected data applications within our ecosystem.


Your Responsibilities


  • Concept and operate scalable data pipelines and platform services
  • Develop and maintain our Snowflake-based data platform
  • Administer and operate data platform-related applications and tools (e.g. data integration, BI, data processing tools, data catalog tool)
  • Ensure platform reliability, performance, observability and efficient resource usage (monitoring, alerting, SLA tracking)
  • Establish and enforce DataOps and CI/CD practices for data workloads
  • Enable self-service data usage through reusable platform capabilities

Ownership Of


  • Core components of the data platform and selected platform applications
  • Platform stability, scalability and performance
  • Engineering standards and best practices
  • Enablement of internal data teams

What You Bring


  • Proven experience in data engineering or data platform engineering
  • Strong expertise in at least one of the following areas
  • Cloud data platforms (e.g. Snowflake)
  • Data integration / ETL tools
  • BI / analytics platforms
  • Strong SQL and data modeling skills
  • Experience with workflow orchestration
  • Experience with CI/CD, Git and DevOps practices
  • Understanding of data architecture, platform operations and observability


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