Senior Analytics Engineer with dbt

Technologies we use

Expected

• dbt
• Light Table

Optional

• Amazon S3
• Amazon EKS

Operating system

• Linux

About the project

You will work on a data initiative within an established analytics environment that uses dbt, Lightdash, Airflow, S3, and Redshift.

The work includes governed business metrics, dashboard quality monitoring, API based ingestion, and the rationalisation of legacy analytics assets.

This is how we organize our work

Team size

Medium team (10-20 people)

This is how we work

• you have influence on the technological solutions applied
• you focus on product development
• you focus on code maintenance
• agile

Team members

• backend developer
• data scientist
• product owner

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.)

This is how we work on a project

• active monitoring
• documentation

Development opportunities we offer

• substantive support from technological leaders
• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• corporate products and services at discounted prices
• integration events
• employee referral program
• extra leave

DataArt Poland sp. z o.o.

Our client is a global leader in the music and entertainment industry, known for its extensive portfolio of iconic artists, innovative digital initiatives, and large‑scale technology‑driven operations.