Analytics Engineer

Tiqets; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Job summary

Tiqets is seeking an Analytics Engineer to bridge Data and Business teams in a fast-growing culture-focused scale-up in Amsterdam.

You will design, build, and maintain dbt models powering our behavioral analytics and event-tracking, while advancing data governance and cost-efficient Looker deployments. Collaboration with data engineers, analysts, and stakeholders is essential to drive consistent modeling standards.

Qualifications

• 2+ years as a Data or Analytics Engineer on data-intensive apps.
• Strong SQL skills and dbt for modeling and transformation.
• Experience with modern cloud warehouses (Databricks/Redshift/Snowflake/BigQuery).
• Experience with Airflow or similar orchestration tool.
• Python proficiency and clean code practices.
• Experience using Looker or similar BI/semantic tools.
• Excellent written and spoken communication; able to collaborate across teams.
• Resident of the Netherlands or the EU.

Responsibilities

• Design, build, and maintain dbt models powering behavioral analytics and event-tracking.
• Own data curation and modeling across projects to improve analytics.
• Help evolve the data governance framework including data compliance and access control.
• Monitor and optimize dbt pipelines and Looker infrastructure for performance and cost.
• Collaborate with Data Engineers, Analysts, and stakeholders to maintain modeling standards.
• Review code to enforce best practices as the team grows.
• Contribute to improving data infrastructure and data tooling.
• Root-cause data issues and build sustainable solutions.
• Support AI initiatives in analytics and BI tooling.

Skills

2+ years data/analytics engineering

SQL

dbt

Databricks

Redshift

Snowflake

BigQuery

Airflow

Python

Looker

Cross-functional collaboration

EU residency

Tools

dbt

Looker

Airflow

SQL

Databricks

Redshift

Snowflake

BigQuery

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