Data Analytics Engineer

Are you passionate about transforming raw data into trusted, business-ready insights? Quadient is looking for a Data Analytics Engineer to join our Marketing Data & Operations team. In this role, you will design and build scalable data models and pipelines that power dashboards, analytics, and reporting across the organization. You’ll work at the intersection of data engineering and analytics, helping teams turn complex data from multiple systems into reliable datasets that drive decision-making. The role also plays a key part in the migration of our legacy on-premise platform to a modern cloud data stack. Design, build, and maintain analytics-ready data models that power dashboards, reports, and advanced analysis. Develop and maintain dbt projects, ensuring high-quality data models, tests, and documentation. Build and orchestrate data pipelines using Dagster or similar orchestration frameworks. Implement data quality checks and monitoring to ensure accuracy and consistency. Optimize pipelines and data models for performance, scalability, and cost efficiency. Collaborate with Marketing, Operations, and Analytics teams to define metrics, KPIs, and reporting needs. Maintain clear documentation of data models, metrics definitions, and pipeline logic. Work closely with IT and data platform teams to align with governance, security, and engineering standards.

Responsibilities

Design, build, and maintain analytics-ready data models that power dashboards, reports, and advanced analysis; Develop and maintain dbt projects, ensuring high-quality data models, tests, and documentation; Build and orchestrate data pipelines using Dagster or similar orchestration frameworks; Implement data quality checks and monitoring to ensure accuracy and consistency; Optimize pipelines and data models for performance, scalability, and cost efficiency; Collaborate with Marketing, Operations, and Analytics teams to define metrics, KPIs, and reporting needs; Maintain clear documentation of data models, metrics definitions, and pipeline logic; Work closely with IT and data platform teams to align with governance, security, and engineering standards

Requirements

3–5 years of experience as a Data Engineer, Analytics Engineer, or similar role; Strong experience with dbt (data build tool) and analytics data modeling practices; Solid understanding of analytical data modeling concepts (facts, dimensions, star/snowflake schemas); Hands-on experience with modern cloud data warehouses such as Google BigQuery, Snowflake, or Redshift; Experience orchestrating data pipelines using Dagster, Airflow, Prefect, or similar tools; Strong SQL skills and familiarity with Git-based development workflows; Ability to work cross-functionally with both technical and business stakeholders; Professional English proficiency

Nice to have

Experience with Marketing data is a big plus

Benefits

Flexible Work: hybrid work model; Endless Learning: 24/7 online learning platform; Inclusive Community: Empowered Communities and Philanthropy program; Comprehensive Rewards: competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme; Caring for Wellbeing: employee assistance program for mental health support