Analytics Engineer: Build Data Products & KPIs

Team.Blue Global; Lisboa; On-site; EUR 60,000 - 80,000; Full time

Job summary

team.blue is seeking an experienced Analytics Engineer to join our AI & Data function, bridging data management and analytics. You will transform raw data into analytics-ready datasets, build KPI definitions, and deliver data products that feed our dashboards and reports.

This role reports to the Director of Analytics and collaborates with data engineers, analysts, and business stakeholders. The ideal candidate has 5+ years in analytics engineering or related roles, deep dbt and Databricks

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a related data role.
• Proficient with dbt (dbt Core or dbt Cloud).
• Experience with Databricks or similar cloud data platforms.
• Strong dimensional modelling, data vault, or similar data warehousing patterns.
• SQL excellence with advanced transformations and window functions.
• Ability to work autonomously across multiple data domains.
• Strong analytical mindset and attention to data quality.
• Excellent communication with business stakeholders.
• Experience across marketing, product analytics, customer care, or financial/subscription data.

Responsibilities

• Design and build dbt models in Databricks transforming raw data into analytics-ready datasets.
• Define KPI logic with stakeholders and ensure consistent definitions across domains.
• Maintain semantic/presentation layer and data products; ensure testing and documentation.
• Collaborate with data engineers and analysts to support dashboards and self-service reporting.
• Contribute to data governance and data cataloging.

Skills

Autonomy

Analytical thinking

Excellent communication

Cross-domain data experience

Tools

dbt

Databricks

SQL

BI tools

Python

Job description

team.blue is seeking an experienced Analytics Engineer to join our AI & Data function, bridging data management and analytics. You will transform raw data into analytics-ready datasets, build KPI definitions, and deliver data products that feed our dashboards and reports.

This role reports to the Director of Analytics and collaborates with data engineers, analysts, and business stakeholders. The ideal candidate has 5+ years in analytics engineering or related roles, deep dbt and Databricks