Analytics Engineer

Tiqets
Amsterdam, Netherlands
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
€4,200.0 - €5,200.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Artificial Intelligence Airflow Data Analysis Big Data BigQuery Code Review Data Governance Data Infrastructure Data Security Data Warehousing Database Queries
+9 more
Python (Programming Language) PCI Data Security Standards SQL Databases Business Intelligence Development Studio Snowflake Data Management Looker Analytics Amazon Redshift Databricks

Job description

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., You’ll be a strategic partner to Product Managers, Engineers, and the Business 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., * Design and implement data models with SQL in DBT

  • Build explores and 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

Requirements

  • 3+ 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

Benefits & conditions

For this role, we have a salary bracket of €4,200 to €5,200 per month. Your specific placement within the range will be determined by your professional background and experience, * Mental health support through our partnership with OpenUp

  • Daily fresh lunch buffet provided by Join Programs
  • Sports activities: free gym, running sessions, boot-camp, football, climbing and more
  • Fun, sociable company events in and out of the office
  • 20% employee discount code to explore great museums/venues worldwide
  • Pension contribution and travel compensation

About the company

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! Full-time · Amsterdam, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.tiqets.work

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