Lead Data Engineer - AI-Driven Platform Architect

Safemind AB; Stockholms kommun; On-site; SEK 613,800 - 892,800; Full time

Job summary

A dynamic tech company in Sweden is seeking a Senior Data Engineer to lead the charge in architecting and enhancing their data platform. This role involves designing scalable ETL/ELT pipelines using Python and AWS while collaborating closely with various teams to transform data into actionable insights. Ideal candidates will possess strong technical skills and a proven track record in data architecture, governance, and security. A commitment to high-quality data and collaboration is essential.

Qualifications

• Solid experience designing scalable ETL/ELT pipelines using Python and AWS services.
• Hands-on experience with Spark, AWS EMR, Redshift, Glue, MySQL.
• Deep understanding of data modeling, warehousing, and governance.
• Experience leading data architecture and translating business strategy into technical roadmaps.
• Strong understanding of data security and privacy regulations.

Responsibilities

• Own and take charge of the data platform.
• Design scalable data pipelines and enhance data architecture.
• Collaborate with Product, Engineering, and Business teams on data insights.
• Define data quality frameworks including automated testing.
• Shape Kaisa’s overall data strategy for future scalability.

Skills

Designing ETL/ELT pipelines using Python and AWS services

Data modeling and warehousing

Real-time data processing technologies

Leading data architecture work

Strong collaboration skills

Tools

Spark

AWS EMR

Redshift

Glue

MySQL

Job description

A dynamic tech company in Sweden is seeking a Senior Data Engineer to lead the charge in architecting and enhancing their data platform. This role involves designing scalable ETL/ELT pipelines using Python and AWS while collaborating closely with various teams to transform data into actionable insights. Ideal candidates will possess strong technical skills and a proven track record in data architecture, governance, and security. A commitment to high-quality data and collaboration is essential.