The Company:
AudienceView is an organization of people who are passionate about the business of Live Events. We create industry-leading software solutions that fuel attendee engagement, ticket sales and advertising solutions for thousands of sports, music and theatre venues in 16 countries around the world. AudienceView employees share a vision to help entertainment organizations deliver exceptional experiences for people who love live events. We achieve this through innovative technology, popular media brands, effective distribution strategies and a dedicated team of experts that help create customer success every single day.
Why we’d want to work with you
You design, build, maintain and evolve data platforms, from research and testing through to production. You own problems and projects all the way from stakeholder inputs to ongoing usage in production. You are highly focused on data ingestion, transformation, and creating models that provide value to analysts. You care about data quality and performance because you’ve had to keep things running in production, not just design them on paper. You take time to think about the business logic behind the data.
This is a fully remote role based in Chile. You’ll work closely with a small Data & Analytics team spread across the UK and Chile and will be comfortable conducting all spoken and written work in English.
What you’ll do:
- Lead the migration to Microsoft Fabric. Rebuild existing pipelines, workflows, and workspaces from our Azure environment using documented Fabric best practices.
- Expand and scale the platform to create value for users. Design and build ingestion for new sources, create and validate transformation code, and surface data in intuitive semantic layers.
- Maintain and improve data trust. Add to and improve the processes for QA and monitoring that prevent erosion of user trust in our data.
- Work in a medallion architecture. Continually refine the bronze, silver, and gold layers to improve data accuracy, availability and usability.
- Put engineering quality first. Conform to standards for code structure and clarity, version control, documentation, work logging and demonstrable testing.
- Connect data to consumption. Consider the end user when making transformed data available.
- Consider storage and lifecycle. Decide how data is stored and retained, balancing scale, performance, and cost.
What you'll need:
- Experience of Microsoft Fabric in production. You’ve created workloads using OneLake, Lakehouse, Pipelines/Dataflows Gen2, PySpark Notebooks, Semantic Models. You have familiarity with Warehouse, Eventstream, Shortcuts, Mirroring.
- Deep experience of the Azure data stack. Data Factory, Databricks, Synapse, ADLS Gen2, Key Vault, and the services around them.
- Experience as an owner of a data platform migration. You have migrated a legacy system into a modern environment and maintained it in production.
- Strong experience with PySpark and solid Python engineering skills. You will be comfortable working in structured, maintainable codebases (not just notebooks) including writing modular, testable code and contributing to shared libraries or frameworks.
- Advanced SQL. You will be able to infer business logic from existing SQL views and have expertise in writing ad-hoc queries to investigate data discrepancies. You will be able to write new SQL views that provide customised windows into the data warehouse.
- Disciplined approach to team procedures within Azure DevOps. Kanban, wiki, Git, and branch management are an essential part of how you collaborate.
- Power BI literacy. You will be able to trace a user’s issue from its visible evidence in a Power BI report, back upstream to its origin.
- Excellent written and spoken English
- You work independently. You diagnose, decide, and fix without waiting for direction.
- Experience using modern development tools, including AI-assisted tooling (e.g. Warp, AI copilots, or similar) to improve productivity, debugging, and code efficiency.
Nice to Have
- Experience developing code to process data from 3rd party APIs at scale, including structured persistence of the ingested data
- Streaming ingestion and processing
- Experience helping other engineers to level-up
- A degree in Computer Science, Engineering, Information Systems, or a related field.
Why Work at AudienceView:
- We’re a global leader in live events technology. As the essential partner to get live events discovered, attended, and remembered, we help our clients sell more tickets every single day.
- We’re passionate about live entertainment. AudienceView believes in the power of live events and its purpose is to ignite that passion in people around the world.
- We have amazing clients. Our exciting roster of clients includes sports, live music, and performing arts organizations
- Our employees love us. We offer excellent benefits, competitive salaries, flexible hours, remote work opportunities, and more!
- We're a remote-first company. Our remote culture allows our employees to have the flexibility to work anywhere in the country they are residing (Canada, the USA, UK, and Chile).
- Diversity and inclusion are paramount to building our culture. The data is abundantly clear that diverse teams are more successful because they offer different perspectives, increased innovation, faster problem-solving, and higher employee engagement among other benefits.
- Flexible work schedule: AudienceView empowers permanent employees to take off alternating Fridays by condensing their two-week schedule into 9 days. Flexible, uncapped vacation and sick policy. Employees need time away from work to recharge.
At AudienceView, diversity and inclusion are core values. We believe that a wide range of perspectives and experiences strengthens our team, benefits our clients, and enriches our workplace. We welcome applicants from all backgrounds and encourage individuals with disabilities to apply. Accommodations are available throughout the recruitment process upon request.
Important Hiring Notice:
AudienceView only extends job offers after direct conversations with both the hiring manager and HR via Microsoft Teams. We do not make offers via text or without a formal interview. If you receive a suspicious message, please disregard it.
This position is for an existing vacancy on our team, and we’re excited to find the right person to join us. We value clear communication, so if you interview with us, you’ll hear back about our decision within 45 days of your final interview. For compliance and transparency, we securely keep job postings and application details for up to three years after the posting closes.
