Senior Analytics Engineer with dbt

DataArt Poland sp. z o.o.; Województwo mazowieckie; Hybrid; PLN 80,000 - 120,000; Full time

Benefits offered by this job

Vacation days (26/year)

Health and life insurance

English language classes

Flexible work location

Internal training platform

Certification reimbursement

Job summary

DataArt Poland sp. z o.o. is seeking a senior analytics/data engineer to develop governed dbt models, dashboards, and ETL pipelines within an established analytics environment using dbt, Lightdash, Airflow, S3, and Redshift.

You will collaborate with non-technical stakeholders, ensure data quality, and align metrics across business teams while working in a flexible hybrid setup and improving legacy assets.

Qualifications

• 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.

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.

Skills

Analytics engineering

dbt

Advanced SQL

Python

Data quality monitoring

Metrics and semantic layer design

Data reconciliation

PII handling

Stakeholder communication

English fluency

Tools

dbt

Lightdash

Airflow

Amazon Redshift

Job description

Nasze wymagania:

• 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

Mile widziane:

• 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

O projekcie:

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.

Zakres obowiązków:

• 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

Oferujemy:

• 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.)