Data Engineer

Data intelligence and AI plays a transformational role in how we create value today and how we shape our future. We have a bold ambition to be a world-class data and AI driven business for our customers across all our regions and business functions.

This is a hands-on engineering role that will work within our within our ASE Data & AI function. You will support cross-functional teams by building and maintaining data infrastructure that enables efficient analysis and insights generation and generative AI and ML applications. The purpose of this role is to develop and maintain robust data pipelines and systems that serve our diverse data consumers across the business spanning our brands in the Americas and Southern Europe. By leveraging your data engineering skills youll enable data-driven decision making throughout the organization supporting business growth and operational excellence.

Key Responsibilities

• Develop and test data pipelines and ETL processes to support the ASE data consumer functions ensuring data flows efficiently and is accessible for reporting analytics and AI teams
• Implement integrations with external and internal data sources working with established connectors and APIs to collect process and store datasets.
• Work with Snowflake (or equivalent cloud data warehousing platform) to organize and optimize data storage and retrieval for marketing analytics.
• Utilize DBT to create reliable maintainable data workflows that support the teams analytics needs.
• Monitor data quality and implement processes to ensure data integrity throughout the pipeline.
• Participate in code reviews and contribute to best practices in data engineering within the team.
• Document data pipelines models and processes to ensure knowledge sharing across the team.
• Troubleshoot and resolve data-related issues as they arise working with cross-functional teams when necessary.
• Stay current with industry tools and practices in data engineering suggesting improvements to existing processes when appropriate.

Qualifications :

Essential:

• Bachelors degree in Computer Science Software Engineering or related field or equivalent practical experience
• Proficiency in SQL and Python programming for data manipulation transformation and pipeline development
• Experience with Snowflake BigQuery Databricks or equivalent cloud data warehousing platforms
• Experience working with behavioral datasets (Google Analytics Posthog Qualtrics Mixpanel etc.)
• Familiarity with data visualization tools (e.g. PowerBI Tableau)
• Familiarity with modern data pipeline orchestration tools such as DBT Airflow or Composer
• Familiarity with version control systems such as Git
• Familiarity with data quality validation testing or monitoring frameworks
• Problem-solving mindset with strong attention to detail

Desired:

• Understanding of data modeling concepts and best practices for analytics
• Understanding of data governance principles and practices
• Understanding of how genAI models can be used in data engineering
• Experience with event-driven or streaming data architectures (e.g. Kafka Kinensis etc.)
• Experience with containerization and orchestration tools (Docker Kubernetes)
• Experience with CI/CD practicles for data workflows (e.g. Github Actions GitLab Jenkins etc.)
• Experience using modern observability tools for data reliability (e.g. Monte Carlo Great expectations etc.) 

Basic understanding of machine learning workflows and how data engineering supports them

Additional Information :

#LI-Hybrid

Were looking for someone who:

• Approaches complex technical challenges with creativity and persistence
• Communicates technical concepts clearly to both technical and non-technical stakeholders
• Demonstrates adaptability when working with emerging technologies and changing requirements
• Takes initiative to improve system performance and identify innovative solutions
• Balances technical excellence with pragmatic delivery to meet business needs
• Collaborates effectively across multidisciplinary teams especially with data engineers and AI SMEs
• Takes ownership of assigned projects from concept through implementation and maintenance
• Shows curiosity about AI advancements and applies relevant learnings to solve business problems
• Sets achieves and is motivated by goals
• Able to collaborate and work well with others
   

Remote Work :

No

Employment Type :

Full-time