Senior Data Engineer

• Have responsibility for the development of data pipelines and supporting functions like metadata, data quality, lineage, monitoring etc.
• Be part of a team and partake in activities such as daily standup, planning, backlog review, peer reviews etc.
• Proactively cooperate and align with our architecture, privacy and cyber security functions, including implementation of their input in the team
• Work collaboratively with business stakeholders and engineers in Sustainability and ensure alignment between cross-functional teams
• Align and share knowledge with other teams within the Data & Product area and sometimes also within Digital as a whole
• Act as an ambassador for good engineering and developer experience — helping the team simplify, reduce friction and strengthen our engineering culture
• Contribute to clear, pragmatic ways of working that help teams focus on delivering value rather than fighting complexity

• 5 years experience working within Data Engineering
• Proficient in Python/Pyspark and SQL
• Demonstratable experience as a Senior Data Engineer designing and implementing performance optimized and scalable data pipelines
• Experience in cloud providers (Azure, AWS, GCP), Data Platforms (Databricks) and BI tools (Power BI)
• Exposure to concepts like Data Mesh, Data Lakehouse & Data Products is a plus
• A collaborative mindset
• A positive interest in developer experience and building simple, reliable solutions

Exposure to concepts like Data Mesh, Data Lakehouse & Data Products