Senior Advanced Data Engineer designing and optimizing data architecture for Honeywell. Collaborating with cross - functional teams to drive data - driven decision - making and operational efficiency.
About the role
- Data Engineer shaping modern data architecture to drive golf’s digital transformation. Collaborating with teams to enhance data pipelines and insights for customer engagement and revenue growth.
Responsibilities
- Rebuild our data pipelines – Audit and re-engineer our existing data flows to improve scalability, resilience, and performance.
- Design modern data architecture – Own the design and implementation of data models and storage strategies that support reporting, analytics, and product features.
- Enable smarter insights – Partner with Product, Engineering, and Commercial teams to make sure the right data is available, accurate, and actionable.
- Build for customer needs – Talk to customers, understand their problems, to ensure we build the data flows and analysis that create value in both daily operations and strategy decisions.
- Champion data governance – Introduce and evolve best practices for data quality, documentation, versioning, and compliance.
- Drive automation – Replace manual processes with robust, automated solutions to increase efficiency and reduce operational friction.
- Build for impact – Everything we do is commercial. Your work will directly influence revenue generation, player engagement, and strategic decision-making across our customer base.
Requirements
- You’re a Data Engineer with a builder's mindset - someone who cares about creating real customer value.
- You care more about outcomes, not just pipelines.
- You take ownership, stay curious, and enjoy taking the lead in improving what exists and rebuilding where it makes a difference.
- You collaborate naturally across teams, technical or not.
- Solid experience building and maintaining data pipelines (ETL/ELT), with dbt as your go-to tool.
- Strong skills in SQL and a solid understanding of data modelling best practices (e.g., star/snowflake schemas).
- Proficiency in Python, along with knowledge of software engineering practices such as version control and CI/CD.
- Experience working with cloud data platforms like BigQuery, Snowflake, or similar.
Benefits
- Work with purpose – help redefine an entire industry through data.
- Have real impact – this is a core role, not a cog-in-the-machine position.
- Collaborate with sharp, mission-driven teammates.
- Join a company that’s serious about having fun while being relentlessly focused on outcomes.
- Shape our data future – your work lays the foundation for the next generation of insights in golf.
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