Key Skills

Job Description

Tiqets is an award-winning tech scale-up headquartered in the Netherlands. We are hiring an Analytics Engineer to join our mission to bring the world more ways to culture! Who we are We are revolutionizing the way people buy tickets to unforgettable experiences at the best destinations all over the world. Our technology makes planning easy for thousands of travelers to find all the experiences they don't want to miss during their trip (museums, zoos, theme parks, and more), so they can book all their tickets in one place. We are an international company committed to making culture accessible to our customers and our employees. We embed diversity, equity, and inclusion into our company fiber organically. These values are promoted from the inside out and we strive to represent and honor differences in gender, race, religion, and sexual orientation in our company culture, our content, and our product. Our values We are remarkable: Have fun, be creative and celebrate great moments! We are accessible: Communicate honestly and support each other We are adaptable: Learn, adapt, and pivot. That's who we are! Working at Tiqets The Analytics Engineering Team is the critical link between Data and Business teams. You'll work closely with our Data Engineers and Data Analysts, and help guide the company's approach to data governance as it matures. As an Analytics Engineer, you will be the guardian of our data ecosystem, ensuring that our data is not only available but is high-quality, performant, and strictly governed. What you will do Design, build, and maintain dbt models powering our behavioral analytics and event-tracking pipeline, one of the largest and most actively used parts of our data platform, processing high-volume clickstream data daily Data Curation & Modeling, own and improve analytical data modeling practices across projects Help evolve our data governance framework by improving our Governance projects, ranging from data compliance to access control Monitor and optimize the performance of our dbt pipelines and Looker infrastructure, proactively identifying automation and cost-efficiency opportunities Collaborate with Data Engineers, Data Analysts, and stakeholders across teams to keep our modeling standards consistent and well understood Review code within our analytics projects to help the team maintain best practices as we grow Contribute to improving data infrastructure, from pipeline health to Looker usage Get to the bottom of data issues, determine root causes and build solutions that resolve them permanently, not just patch symptoms AI adoption, contribute to initiatives for unlocking AI in our analytical and reporting processes (DWH/BI Tooling) If you are passionate about Data, enjoy working on challenging business problems in a fast-moving environment, and believe in the importance of teamwork, then this could be the right opening for you. Responsibilities Design, build, and maintain dbt models powering our behavioral analytics and event-tracking pipeline, one of the largest and most actively used parts of our data platform, processing high-volume clickstream data daily Data Curation & Modeling, own and improve analytical data modeling practices across projects Help evolve our data governance framework by improving our Governance projects, ranging from data compliance to access control Monitor and optimize the performance of our dbt pipelines and Looker infrastructure, proactively identifying automation and cost-efficiency opportunities Collaborate with Data Engineers, Data Analysts, and stakeholders across teams to keep our modeling standards consistent and well understood Review code within our analytics projects to help the team maintain best practices as we grow Contribute to improving data infrastructure, from pipeline health to Looker usage Get to the bottom of data issues, determine root causes and build solutions that resolve them permanently, not just patch symptoms AI adoption, contribute to initiatives for unlocking AI in our analytical and reporting processes (DWH/BI Tooling) What you will bring 2+ years of experience working as a Data or Analytics Engineer on data-intensive applications Strong SQL skills and hands-on experience with dbt for data modeling and transformation Proven track record of working with a modern cloud data warehouse like Databricks, Redshift, Snowflake, or BigQuery Experience with Apache Airflow or a comparable orchestration tool Python proficiency, with a track record of writing clean, maintainable code Experience with Looker or a comparable BI/semantic-layer tool Experience with cross-functional/cross-team collaboration, with excellent oral and written communication skills Capacity to thrive in a scale-up environment, pragmatic attitude, ability to work independently, collaborate effectively with others, and take ownership of your work Living in the Netherlands/EU Nice to Have Experience with data access control and masking patterns in dbt Familiarity with data governance, security, and regulatory compliance considerations (e.g., GDPR, SOX, PCI DSS) as they apply to data platforms and data warehouses. Curiosity about data observability and lineage tooling

Core Responsibilities

Build and maintain dbt models for high-volume behavioral and clickstream analytics, and improve analytical data modeling and governance practices. Optimize dbt pipelines and Looker, resolve data issues at their root, review code, and collaborate on data infrastructure and AI initiatives.

Requirements

Requires at least two years of experience as a Data or Analytics Engineer, strong SQL and hands-on dbt experience, and experience with a modern cloud data warehouse and an orchestration tool such as Airflow. Candidates should also have Python and Looker or comparable BI experience, strong communication and collaboration skills, and be based in the Netherlands or EU.