Senior Data Engineer-1
Role Overview
Electrolux Global Data and AI is seeking a Senior Data Engineer to build and operate reliable data and AI products.
The role covers the full data lifecycle from ingestion through transformation and delivery on an Azure Databricks Lakehouse.
The engineer will work across platform, product data engineering, modeling, orchestration, quality, and stakeholder collaboration.
Key Skills for This Role
Full Job Posting
Role Overview
Electrolux Global Data and AI is seeking a Senior Data Engineer to build and operate reliable data and AI products.
The role covers the full data lifecycle from ingestion through transformation and delivery on an Azure Databricks Lakehouse.
The engineer will work across platform, product data engineering, modeling, orchestration, quality, and stakeholder collaboration.
What You Will Do
- Build ingestion pipelines from relational databases, external sources, and operational data stores into the Lakehouse.
- Develop dbt ELT pipelines, dimensional models, and consistent KPI definitions.
- Operate Azure Databricks and contribute to schema design, query optimization, and scalable processing.
- Orchestrate reliable Airflow workflows with monitoring, alerting, recovery, and audit trails.
- Implement automated data quality checks and testing.
- Apply data mesh principles to create owned, discoverable data products with clear contracts.
- Use version control, CI/CD, code review, and Infrastructure as Code.
- Translate business needs into scalable data solutions and collaborate with Platform and AI teams.
- Monitor Azure computing and storage costs.
- Use GitHub Copilot and GitHub Actions to accelerate and automate engineering workflows.
Who You Are
- You have 3 or more years of experience building and operating production data pipelines at scale.
- You have strong hands-on SQL skills, including query optimization and schema design.
- You have strong Python skills for pipeline development and automation.
- You have practical cloud data platform experience; Azure is strongly preferred.
- You have experience with Lakehouse or data warehouse architecture.
- You have experience building ELT or ETL pipelines; dbt and Airflow are preferred tooling.
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