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Reference Code:  108332

Data Engineer

Richemont

Lisbon, 11, PT

Permanent
  
  

Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, watches, fashion and accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity.

ROLE OVERVIEW

 

We are seeking a talented and experienced Data Engineer to join our growing data team. In this role, you will be instrumental in building, maintaining, and optimizing our data infrastructure, with a strong emphasis on DataOps principles. You will work closely with data analysts, and other engineers to ensure the reliability, scalability, and security of our data pipelines.

 

KEY RESPONSIBILITIES

 

  • Translate the business requirements into technical specifications, in cooperation with the data product owner.
  • Design, develop, and maintain robust and scalable data pipelines using Airflow.
  • Utilize dbt for data transformation and modeling, ensuring data quality and consistency.
  • Employ Terraform for infrastructure as code (IaC), automating the provisioning and management of our data infrastructure.
  • Implement and maintain CI/CD pipelines for data engineering workflows.
  • Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Contribute to the development of data engineering best practices and standards.
  • Manage and maintain data repositories using Git.
  • Automate data-related tasks to improve efficiency and reduce manual effort.
  • Cooperate with the support teams and provide L3 support to comply with predefined SLA’s

 

 

KEY QUALIFICATIONS

 

  • University degree in computer science, engineering, or comparable field.
  • 3-5 years of experience as a Data Engineer or in a similar role.
  • Experience with data warehousing concepts and technologies.
  • Hands-on experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Cloud Storage)
  • Knowledge of dbt and version management tools (e.g. Git).
  • Experience with infrastructure as code (IaC) using Terraform.
  • Experience with workflow orchestration tools such as Airflow.
  • Strong proficiency in Python and SQL.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

 

PREFERRED QUALIFICATIONS

 

  • Experience with CI/CD pipelines.
  • Experience working with SAP platforms as data sources (e.g., SAP ECC, SAP S/4HANA, SAP BW, SAP Datasphere).
  • Knowledge of SAP data structures and extraction methods.
  • Knowledge of data visualization tools (e.g. Looker).
  • Scrum methodology.

#Richemont #WeCraftTheFuture

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