Senior Analytics Engineer Stockholm, Sweden • Hybrid

E2E is a fast-growing Swedish company on a journey to make financial advice more accessible. We are building a modern data platform from the ground up and are seeking an Analytics Engineer who sits at the intersection of Data Engineering, Analytics, and Data Science. Your primary responsibility is to transform raw data into trusted, reusable, and well-documented datasets that power reporting, experimentation, machine learning, and business decision-making. This is a software engineering role focused on data modeling, data quality, and scalable semantic layers for the entire organization. You will join a growing Data Team consisting of Data Engineers and Data Scientists, working closely with Product, Engineering, and business stakeholders.

What you’ll do: - Design and own our semantic layer using modern data modeling principles. - Build reusable, production-ready datasets that serve as shared sources of truth across the company. - Translate business requirements into scalable analytical datasets. - Improve data quality through testing, documentation, and monitoring. - Work closely with Data Scientists to provide high-quality feature datasets for machine learning. - Drive best practices around SQL development, version control, documentation, and code reviews. - Collaborate with Data Engineers on data pipelines and infrastructure. - Help establish standards for analytics engineering across the company.

What we’re looking for: - Several years of experience in analytics engineering, data engineering, or adva

Senior Analytics Engineer Stockholm, Sweden • Hybrid

E2E is a fast-growing Swedish company on a journey to make financial advice more accessible. We are building a modern data platform from the ground up and are seeking an Analytics Engineer who sits at the intersection of Data Engineering, Analytics, and Data Science. Your primary responsibility is to transform raw data into trusted, reusable, and well-documented datasets that power reporting, experimentation, machine learning, and business decision-making. This is a software engineering role focused on data modeling, data quality, and scalable semantic layers for the entire organization. You will join a growing Data Team consisting of Data Engineers and Data Scientists, working closely with Product, Engineering, and business stakeholders.

What you’ll do: - Design and own our semantic layer using modern data modeling principles. - Build reusable, production-ready datasets that serve as shared sources of truth across the company. - Translate business requirements into scalable analytical datasets. - Improve data quality through testing, documentation, and monitoring. - Work closely with Data Scientists to provide high-quality feature datasets for machine learning. - Drive best practices around SQL development, version control, documentation, and code reviews. - Collaborate with Data Engineers on data pipelines and infrastructure. - Help establish standards for analytics engineering across the company.

What we’re looking for: - Several years of experience in analytics engineering, data engineering, or adva