Data Engineer

About ROLLER ROLLER is not your average software‑as‑a‑service company. With a global presence in over 30 countries, we’re here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point‑of‑sale, self‑serve kiosks, memberships and digital waiver processes. But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down‑to‑earth professionals located all around the world who are all working together to build something truly remarkable. We’re aiming high and believe that the possibilities are endless. As we continue to grow globally, we’re excited to write our success story and have fun along the way. We genuinely love what we do, and we’re looking for like‑minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER! About the Role We are seeking a highly technical, hands‑on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision‑making and operational efficiency across the entire organization. In this foundational role, you will build & architect the modern data stack , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM , Product , Finance and P&C to build high‑performance data models and pipelines that transform raw data into actionable cross‑functional insights. Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world‑class experiences for our customers globally. What You'll Do Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high‑volume data processing and maintain long‑term scalability. Cloud Ecosystem: Develop and manage end‑to‑end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration. Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability. Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines. Cloud Data Warehousing: Demonstrate expert‑level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery. Team Collaboration: Partner with cross‑functional stakeholders to build and scale high‑performing data infrastructure that supports engineering, analytics, and Data Program needs. Stack Management: Architect and maintain a modern data stack by implementing best‑in‑class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow. Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real‑time analytics and unified business reporting. Data Visualization: Create and maintain intuitive, high‑performance Looker dashboards – a strong advantage. About You You are a technical builder who views data as a competitive advantage. You thrive in fast‑paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem‑solver , you excel at balancing long‑term technical vision with the daily hands‑on execution of complex pipelines. You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross‑functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high‑performance systems. Most importantly, you are excited to act as a founding technical force for a high‑growth SaaS company that is transforming the guest experience for attractions businesses globally. 5+ years of experience in Data & Analytics or Data Engineering with a focus on scalable cloud‑driven data pipeline build. Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real‑time needs. Expert‑level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC). Hands‑on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration. Hands‑on experience with dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation. Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version‑controlled and reproducible. Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure. Ability to design high‑performance dashboards that prioritize user experience and fast load times. Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codify them into the data layer. Familiarity with data ingestion tools like Fivetran, Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse. Operates as a full‑stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high‑impact data visualization. Familiarity with business‑critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools. Strong communicator with a track record of working across technical and non‑technical teams to drive alignment. Preferred Qualifications Experience partnering with IT or Business Technology teams to drive cross‑functional outcomes. Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics. Familiarity with AI/ML pipelines and experimentation frameworks that support data‑driven innovation. Perks! You'll get to work on a category‑leading product that customers love in a fun, high‑growth industry! Check our Capterra and G2 reviews. 4 ROLLER Recharge days per year – when we hit our goals each quarter, we take a well‑earned day off together to relax, recharge, and celebrate our wins. 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. 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! What You Can Expect Initial call with our Talent Acquisition Manager – you’ll have an initial call to discuss your experience, salary expectations and answer any initial questions. Interview with the Hiring Manager – you’ll meet the hiring manager to learn more about the role & ROLLER while discussing your experience in more detail. Loop Interviews – you will meet our wider ROLLER team to do a 'vibe check' to ensure our culture & vibe align with what you’re looking for. Offer – if all lights are green and the fit feels right, we’ll conduct reference checks and you’ll receive an offer to join! #J-18808-Ljbffr ROLLER