Sweetspot is the data-driven caddie for golf facilities - combining bookings, subscriptions, dynamic pricing, and player engagement into one powerful platform. We turn insights into action to help facilities optimise performance, maximise revenue, and deliver exceptional player experiences.
Founded in 2017 and with over 350 000 users in 12 countries and 500+ golf facilities, we’re on a mission to lead the data-driven transformation of golf. Over the next 12 months, we’re embarking on a significant rebuild of our data architecture - reimagining the way we collect, process, and use data to drive smarter decisions across the golf industry.
We’re seeking a hands-on, forward-thinking Data Engineer to join our growing tech team. This is a key role in shaping the future of our data platform - from streamlining infrastructure to enabling smarter insights for facility operators and internal teams.
This isn’t a “maintain-the-status-quo” role. You’ll be central to reworking how we ingest, model, and expose data across the organisation, helping us move faster and build more intelligently.
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.
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. Since the world is moving quickly around AI and an agentic approach, we expect you to be curious and open to experimentation regarding new ways of working
To thrive in this role, we believe you have a couple of years of experience in a modern data environment and bring:
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.
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.
If you’re passionate about turning data into smart decisions, and want to help facilities and players find their Sweetspot - we’d love to talk. And because we believe applying should be easy, there’s no need for a perfectly polished CV; just answer the questions below to apply.
If you have any questions, don't hesitate to reach out to Petra Gyllenberg, Talent Acquisition Consultant, at petra.gyllenberg@ants.se
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