Analytics Engineer: Build AI-Ready Data Pipelines

Tiqets; Amsterdam; On-site; EUR 47,000 - 58,000; Full time

Job summary

Tiqets is seeking an Analytics Engineer in Amsterdam to bridge Data and Business teams. You design, build, and maintain dbt models powering our analytics and event-tracking pipelines, ensuring data quality and governance while collaborating with data engineers, analysts, and stakeholders.

You will optimize Looker infrastructure, contribute to AI initiatives in analytics, and help evolve our data governance practices in a fast-growing culture.

Qualifications

• 3+ years of experience as a Data or Analytics Engineer on data-intensive applications.
• Strong SQL skills and hands-on experience with dbt for data modeling and transformation.
• Experience with modern cloud data warehouses (Databricks, Redshift, Snowflake, or BigQuery).
• Experience with Apache Airflow or a comparable orchestration tool.
• Proficient in Python and familiar with BI/semantic-layer tools like Looker.

Responsibilities

• Design, build, and maintain dbt models powering behavioral analytics and event-tracking pipelines.
• Data curation and modeling; improve analytical data practices across projects.
• Advance data governance, from compliance to access control.
• Monitor and optimize dbt pipelines and Looker infrastructure for performance and cost-efficiency.
• Collaborate with Data Engineers, Data Analysts, and stakeholders to maintain modeling standards.
• Review code and contribute to improving data infrastructure and data quality.
• Address data issues by root-cause analysis and permanent fixes.
• Participate in AI adoption initiatives for analytics and reporting processes.

Skills

SQL

dbt

Python

Looker

Airflow

Data warehousing

Tools

dbt

Airflow

Looker

Job description

Tiqets is seeking an Analytics Engineer in Amsterdam to bridge Data and Business teams. You design, build, and maintain dbt models powering our analytics and event-tracking pipelines, ensuring data quality and governance while collaborating with data engineers, analysts, and stakeholders.

You will optimize Looker infrastructure, contribute to AI initiatives in analytics, and help evolve our data governance practices in a fast-growing culture.