Molson Coors is a leading brewer with 18,000+ employees, 30+ breweries and 130+ beer brands, consumed in more than 50 countries. Our GBS history in Romania started in 2017, when Molson Coors Global Business Services was established in Bucharest, and since then we have become a 650 people strong organization and growing continuously.

We deliver centralized operations to our Molson Coors Business Units across the Globe in Finance, Master Data, Commercial, HR and IT Business Services. Our impressive brands portfolio across the world includes Miller Genuine Draft, Madri, Staropramen and Bergenbier.

The Data & Analytics Developer is responsible for developing and maintaining data and analytics solutions that support reporting, insights, and data-driven decision making.

The role collaborates closely with Data Engineers, Data DevOps Engineers, and business stakeholders to build reliable, scalable, and well-structured data models, ingestion pipelines, and analytics assets across development, test, and production environments.

The Data & Analytics Developer analyzes requirements, builds data transformations, and implements analytics solutions using standard development tools, delivery assets, and engineering best practices.

Fixed-term contract (1 year)

KEY RESPONSIBILITIES:

• Develop, deploy, test, and operationally support production data ingestion and transformation pipelines to address business requirements, using tools such as Python, SQL, Databricks, Git, and any new technologies that may emerge.

• Develop optimized database queries and pipeline logic to support reliable and efficient data processing

• Apply engineering best practices, including version control, testing, documentation, peer reviews, and alignment with defined DevOps and DataOps processes.

• Develop knowledge of designated data engineering and analytics tools through hands-on delivery, training, networking, and participation in user groups.

SKILLS & RELEVANT WORK EXPERIENCE:

• 1 year of experience in a similar role building, testing, and deploying production data solutions in the Data & Analytics space, with very good knowledge and usage of SQL, Python, and reporting tools.

• Strong problem-solving skills and attention to detail, with the ability to troubleshoot and optimize data pipelines and analytical solutions.

• Excellent communication skills to collaborate effectively with both technical and non-technical team members.

• Familiarity with data modeling concepts and analytical query optimization

• Ability to follow development standards, testing practices, documentation guidelines, and lifecycle controls throughout solution delivery.

• Very good command of English language