Senior Data Platform Engineer: Architect Scalable Data

Aktiebolaget Electrolux; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Electrolux Group is seeking a Platform Data Engineer at our Global Headquarters in Stockholm, Sweden. You will design and build scalable data platform infrastructure, enable seamless ingestion, and automate data pipelines with a strong focus on reliability and developer experience.

You will work with Azure, Python, and Spark to optimize data warehouses, lakes, and lakehouses, while ensuring security, governance, and observability across the analytics ecosystem. English is the working language.

Qualifications

• Experience in cloud-based data environments, preferably Azure.
• Strong Python development and distributed data processing (Spark).
• Expertise in data warehouses, lakes, and lakehouses, including schema design.
• Automation with Infrastructure as Code (IaC) and automated testing.
• Ability to design scalable data platforms with reliable recovery.
• Experience in MLOps engineering for model development/deployment.
• Knowledge of security & governance frameworks (encryption, access control).
• Familiarity with observability & monitoring tools for platform health.

Responsibilities

• Design, build, and maintain the data platform architecture.
• Create ingestion layers from internal and external sources.
• Automate tasks and improve developer experience.
• Design orchestration chains for reliable workflow management.
• Optimize queries, schemas, and distributed processing for scale.
• Implement robust security and cost-control measures.

Skills

Azure

Python

Spark

Data Warehouses

Lakes/Lakehouses

IaC

MLOps

Security & Governance

Observability

Job description

Electrolux Group is seeking a Platform Data Engineer at our Global Headquarters in Stockholm, Sweden. You will design and build scalable data platform infrastructure, enable seamless ingestion, and automate data pipelines with a strong focus on reliability and developer experience.

You will work with Azure, Python, and Spark to optimize data warehouses, lakes, and lakehouses, while ensuring security, governance, and observability across the analytics ecosystem. English is the working language.