Data Engineer

ROLLER is a global software-as-a-service company designed to help businesses in the leisure and attractions industry operate more efficiently and deliver great guest experiences. ROLLER helps its customers through a full suite of venue management features, including ticketing, point-of-sale, CRM, self-serve kiosks, memberships, digital waivers, and more. We are a fast-growing global company with customers in over 30 countries and a wide array of industries like theme parks, museums, zoos, trampoline parks, water parks, aquariums, and wake parks - just to name a few!

At the heart of ROLLER is our team - which consists of 100+ highly energetic, driven, intelligent, and humble professionals, all contributing to help build a great and enduring business. We truly believe that the sky's the limit for us, and we are well on our way toward becoming a global success story. But most of all, we love what we do, and we are looking for like-minded people to join us on this amazing journey!

We are on the hunt for a Data Engineer to join our high-performing team to work on our existing data platforms and work on providing reporting capabilities to various parts of the business working alongside various key stakeholders.

You are someone who has a passion for solving complex problems using data, being able to interact with business stakeholders, narrow down problem statements, solve problems for customers, and coordinating the development and release of features and fixes. Your strong technical skills combined with communication skills allow you to be part of something greater by creating and working on best in class data solutions.

• Contribute to the architecture and optimization of the data infrastructure using big data cloud technologies within GCP and AWS to enable data-driven decision-making and meaningful insights for our customers and internal stakeholders.
• Implement data warehousing best practices with BigQuery, including data partitioning and clustering to optimize query performance and costs.
• Design, build, and maintain ETL data pipelines using best practice methods and tooling to integrate large quantities of data from disparate internal and external sources.
• Collaborate with customer facing product teams, internal company teams, and other business stakeholders to translate data-related needs into technical requirements and dashboard designs.
• Provide support for data-related issues and incidents, including customer support requests, to investigate and resolve data discrepancies and anomalies to ensure data accuracy.

• Bachelor’s or Master's degree in Computer Science, Information Technology or a related field.
• Proven 3+ years of experience in data engineering using data warehouse cloud technologies, with a focus on designing and implementing solutions on Google Cloud Platform and/or Amazon Web Services.
• Strong proficiency in GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Data Catalog.
• Solid understanding of data modeling, ETL/ELT processes, and data integration techniques.
• Experience using Python to develop scripts and small programs for job orchestration and/or data manipulation, including familiarity with modules like Pandas, NumPy and PySpark.
• Extensive experience with SQL, with a focus on analysing and validating complex and disparate data sets.
• Experience with working with BI tools such as Looker, PowerBI, or Tableau.
• Strong hands-on technical skills with the ability to provide guidance in troubleshooting and delivering business features independently.
• Proficiency in working with DevOps tooling, Git, CI/CD pipelines and infrastructure as code.
• Excellent communication skills, the ability to work well within a team environment and ability to articulate data to key stakeholders.

Nice to Haves

• Previous experience with building and maintaining Looker dashboards, reports, and data exploration tools.
• Previous experience with AWS services such as EC2, S3, RDS, EMR.

• You get to work on a category-leading product that customers love in a fun, high-growth industry as well as getting to work in a driven, people-focused environment with leaders who look after their employees - check our Capterra and G2 reviews!
• We offer a work from home allowance to set your new workspace up!
• 4 ROLLER Recharge days per year (that is 4 additional days of leave that we all take off together as a team to rest and recuperate)
• Engage in our ‘Vibe Tribe’ - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns... you name it. We're willing to make it happen!
• Team member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers
• Highly flexible work environment with an All Access pass to WeWork depending on your location
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do.
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

1. Initial call with our Talent Acquisition Manager
   You’ll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with our Lead Data Engineer & Chief Technology Officer
   You will get to meet with our Lead Data Engineer & Chief Technology Officer to learn more about the role & ROLLER whilst also talking through your experience in more detail
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a ‘vibe check’ on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feels right, we’ll conduct reference checks and you'll receive an offer to join!

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