Analytics Engineer - Scalable Data Platform & Metrics

Netlight; Stockholms kommun; On-site; SEK 731,000 - 1,069,000; Full time

Benefits offered by this job

Private pension savings

Wellpass

Job summary

Netlight is hiring an Analytics Engineer to join our global Insights team, based in Stockholm or Munich. You’ll shape how data is structured, accessed, and used, building scalable data solutions with a cross-functional team to empower smarter decisions.

You’ll collaborate with stakeholders to define semantic layers, maintain data quality, and enable self-service analytics across Power BI, Excel, and AI-assisted tools. Fluency in English required.

Qualifications

• Degree in a quantitative field (e.g. software engineering, computer science, economics, mathematics, statistics).
• Minimum 2+ years in Analytics Engineering, Data Engineering, Data Analytics, Data Science, or Software Development.
• Strong SQL with dbt on a cloud data warehouse; knowledge of star schemas.
• Git and CI/CD workflows for data pipelines.
• Python for data transformation and automation.
• Fluent in English (written and spoken).
• Comfort with AI copilots and AI-assisted analytics tools.
• Bonus: semantic layers and metric governance.

Responsibilities

• As Analytics Engineer, shape data structure, access, and usage across the business.
• Collaborate with stakeholders to build reliable, scalable data solutions.
• Model, govern, and enable data access across tools with clear metadata.
• Maintain data quality and performant data models using Snowflake and dbt.
• Contribute to agile delivery and continuously improve data stack.

Skills

SQL

dbt

Python

Git & CI/CD

English

Analytics/DS/DE

AI copilots

Semantic governance

Education

Quantitative degree

Tools

Snowflake

dbt (tool)

Job description

Netlight is hiring an Analytics Engineer to join our global Insights team, based in Stockholm or Munich. You’ll shape how data is structured, accessed, and used, building scalable data solutions with a cross-functional team to empower smarter decisions.

You’ll collaborate with stakeholders to define semantic layers, maintain data quality, and enable self-service analytics across Power BI, Excel, and AI-assisted tools. Fluency in English required.