Data Engineer

Overview

Envision yourself empowering a world-renowned consumer goods brand to better understand its customers. As a Data Engineer on the Customer Domain Data Foundation team, you’ll be instrumental in building the data products that fuel personalized experiences and drive business decisions. You’ll be a key player in modernizing their data landscape, enabling data-driven decision making across the entire organization. This is an opportunity to make a tangible impact on a global scale.

Be a Data Pioneer:
This role offers a unique opportunity to contribute to the cutting edge of data engineering. You’ll work within a dynamic, collaborative team, building and improving the data foundation. Partnering with data engineers and stewards, you’ll play a vital role in implementing a data mesh, transforming raw data into valuable, accessible insights. This position offers the exciting challenge of shaping the future of data at a global organization.

Responsibilities Include:

• Design, build, and maintain robust data ingestion and transformation pipelines, leveraging SQL, Python, and potentially Apache Beam (Dataflow) and PySpark.
• Implement and maintain data quality checks, ensuring accuracy and reliability of data products.
• Develop and maintain data models, metadata management processes, and data harmonization procedures.
• Manage data access and integration with the central data platform.
• Collaborate with product and software engineering teams to ensure seamless data integration.
• Document processes and best practices to ensure discoverability and maintainability.
• Contribute to the review and improvement of the current tech stack, best practices, and security measures.
• Champion the data mesh philosophy and guide colleagues in its implementation.

This is a short term, 3 months contract role, with the possibility for extension. 

Must-Have Qualifications:

• Proven experience in designing and implementing data products within a data mesh architecture.
• Advanced SQL skills and proficiency in Python.
• Strong communication and interpersonal skills.
• Experience with data governance principles, including data classification, metadata standards, harmonization, and data quality management.
• Solid understanding of data masking techniques and best practices.
• Knowledge of CI/CD and DataOps principles, including tools like GitHub Actions and Terraform.
• Experience with Google Cloud Platform (GCP), including advanced knowledge of Google BigQuery (GBQ), with GBQ Sharing.

Nice-to-Have Qualifications:

• Experience with Apache Beam (Dataflow) and/or PySpark.
• Familiarity with GCP tools for data pipelines, such as Cloud Run (jobs) and Workflows.
• Experience with dbt for data modeling and transformation pipelines.
• Experience with stakeholder management, including working with software engineers and product owners.

*Please note: Due to the contracting nature of this role, only candidates with the unrestricted right to work in The Netherlands will be considered.