Data Platform Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

In short

Electrolux seeks a Data Platform Engineer in Bangalore to build and operate production data pipelines at scale on a modern Lakehouse stack using Azure Databricks. This role involves designing and implementing data ingestion, transformation, and modeling pipelines with tools like dbt and Airflow, adhering to Data Mesh principles and leveraging AI-assisted development tools.

Responsibilities

Design and build pipelines for data ingestion and integration from various sources into a Lakehouse.
Build and maintain ELT pipelines using dbt for data transformation and modeling.
Operate and extend Azure Databricks Lakehouse, contributing to schema design and query optimization.
Own end-to-end pipeline orchestration using Airflow, ensuring reliability and observability.
Implement automated data quality checks and testing.
Apply Data Mesh principles for data products with clear ownership and discoverability.
Utilize a software engineering mindset with version control, CI/CD, and Infrastructure as Code.
Partner with business stakeholders to translate requirements into data solutions.
Monitor and optimize computing and storage costs on Azure.
Use AI pair-programming tools like GitHub Copilot and build agentic CI/CD workflows in GitHub Actions.

Requirements

3+ years of experience as a Data Engineer building and operating production data pipelines.
Strong hands-on skills in SQL (query optimization, schema design) and Python.
Practical experience with a cloud data platform (Azure preferred) and modern Lakehouse or data warehouse architecture.
Experience building ELT/ETL pipelines, ideally with dbt.
Experience orchestrating pipelines with a workflow manager like Airflow.
A track record of taking ambiguous problems from first principles to a working, reliable solution.
Ability to explain technical trade-offs to non-technical stakeholders.
Hands-on experience using GitHub Copilot or similar AI coding assistants.
Experience building CI/CD pipelines in GitHub Actions.

Desired Qualifications

Experience with Azure Databricks Lakehouse on Microsoft Azure.
Experience with dbt for version-controlled, testable data modeling.
Experience with Apache Airflow for workflow scheduling.
Experience with Azure Data Factory for ingestion.
Professional, production-grade level in Python and SQL.
Application of Data Mesh principles to domain-oriented data ownership and data products.
Experience with GitHub and GitHub Actions for version control and CI/CD.
Experience with agentic CI/CD workflows.
Experience with Infrastructure as Code.
Experience with AI-Assisted Development using GitHub Copilot and similar tools embedded in the daily workflow.

Benefits

Build at scale: Lead development of mission-critical digital commerce experiences.
Own the architecture: Influence core technical decisions and platform evolution.
Modern tech stack: Work with cutting-edge tools in cloud, commerce, and full-stack engineering.
Empowered leadership: Drive strategy and execution while mentoring a team.
Growth and impact: Join a high-growth company with a culture that values engineering excellence, innovation, and transparent leadership.
Continuous investment in personal and professional development.

Skills

SQLPythondbtAirflowAzure DatabricksData MeshGitHub ActionsGitHub CopilotAzure Data Factory

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About Electrolux Group

Electrolux Group is a leading global appliance company that has shaped living for the better for more than 100 years. We reinvent taste, care and wellbeing experiences for millions of people, always striving to be at the forefront of sustainability in society through our solutions and operations. Under our group of leading appliance brands, including Electrolux, AEG and Frigidaire, we sell household products in around 120 markets every year. In 2025 Electrolux Group had sales of SEK 131 billion and employed approximately 39,000 people around the world. For more information go to…

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