Analytics Engineer

• 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
• 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)
• Design and implement data models with SQL in DBT
• Build and explore dashboards in Looker to allow others at the company to ask the right data questions
• Deep dive into large business datasets to uncover valuable insights that can be turned into actionable hypotheses
• Work with Product Managers, Developers, Marketeers, and Commercial Specialists to determine and measure the right metrics in their respective domains
• Keep a close eye on the ever-changing data challenges at Tiqets, and collaborate closely with Strategic Analysts, Data Engineers, Data Scientists, and other Data Analysts on the team to solve them
• Educate and empower others at the company to be more self-reliant for their data needs
• Mentor others in the team with technical guidance
• Collaborate on the architectural evolution of the Tiqets data model and reporting framework

Benefits

• Young, energetic, international work environment
• Bright, welcoming office located in the centre of Amsterdam
• Competitive salary and paid holiday leave
• Tiqets’ learning academy: skill lab, group & individual learning
• Annual company getaway to undisclosed location
• Sports activities: free gym, running sessions, boot-camp, football, climbing and more
• Fun, sociable company events in and out of the office
• Friday drinks
• Summer party
• 20% employee discount code to explore great museums/venues worldwide
• Pension contribution and travel compensation
• Everyone - employed at Tiqets will receive a monthly internet allowance for working from home
• Everyone - employed at Tiqets can reimburse home work space necessities

• 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
• 2+ years of experience working as a Data or Analytics Engineer on data-intensive applications
• Experience with Apache Airflow or a comparable orchestration tool
• Proven track record of working with a modern cloud data warehouse like Databricks, Redshift, Snowflake, or BigQuery
• Strong SQL skills and hands-on experience with dbt for data modeling and transformation
• 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
• Python proficiency, with a track record of writing clean, maintainable code
• Experience with Looker or a comparable BI/semantic-layer tool
• Living in the Netherlands/EU
• 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