Senior Analytics Engineer with dbt

Technologies we use

About the project

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Team size

This is how we work

Team members

Your responsibilities

• Build governed dbt models for critical business metrics
• Develop Lightdash dashboards and metric trees to monitor metric quality freshness and drift
• Create automated alerts for metric owners
• Document metric definitions calculations ownership and sources
• Align metric definitions across business teams
• Build and maintain Airflow pipelines that ingest data from external APIs into Redshift
• Improve the Zendesk pipeline
• Reconcile ticket volume and CSAT figures with the source system
• Migrate or retire legacy dbt models and Lightdash content
• Use usage data and clear communication with users during legacy content consolidation

Our requirements

• Strong experience in analytics engineering or data engineering
• Strong experience with dbt
• Advanced SQL skills
• Experience with Amazon Redshift
• Experience with Lightdash or a similar dbt native BI tool
• Experience with Python
• Experience with Airflow for API based data ingestion
• Experience with data quality monitoring including freshness checks anomaly detection and alerting
• Experience with metric and semantic layer design
• Experience with data reconciliation against source systems
• Solid understanding of PII handling and data minimisation
• Confidence working with non technical stakeholders
• Fluent English

Optional

• Experience with AWS Bedrock AgentCore Identity as an early adopter or equivalent
• Experience with AWS AgentCore Gateway outbound authorization integration
• Exposure to MCP or A2A tool invocation authentication patterns
• Exposure to AgentCore Policy using Cedar or AWS Verified Permissions

What we offer

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Certification reimbursement (AWS, GCP, Microsoft, etc.)

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Benefits