TL;DR

Software Engineer (Data Analytics): Develop and modernize data analytics platforms and software products for schools across the Nordics, with an accent on C#, .NET Core, SQL Server, and CI/CD pipelines. Focus on collaborating with business stakeholders to understand their data and analytics needs and shaping the team's ways of working in an agile environment.

Location: Hybrid in Luleå or Skellefteå, Sweden

Company

%hirify_global% is a leading software and digital engineering services company with global market reach and capabilities, empowering customers across different industries with mission-critical solutions.

What you will do

Develop and modernize the data analytics platform in a cross-functional team.
Take end-to-end responsibility for building software products to improve schools.
Collaborate with business stakeholders to understand data and analytics needs.
Shape the team's ways of working internally and with surrounding teams.
Learn from and coach colleagues in an agile development environment.

Requirements

University degree in computer science, computer engineering, information systems, or similar.
Strong proficiency in C#, .NET Core, and SQL Server.
Solid experience with database management, data modeling, and data structures.
Familiarity with Microsoft Visual Studio.
Experience with agile methodologies, Azure DevOps (or similar), and CI/CD pipelines.
Fluency in Swedish and English (verbal and written).

Nice to have

Experience with modern data analytics platforms (Azure Synapse, Databricks, Power BI).
Knowledge of OLAP cubes and multidimensional data modeling.
Experience with Azure platform and its data services.
Familiarity with data visualization and BI tools.
Experience with ETL processes and data pipeline development.
Specialized knowledge in containers, test automation, microservices, or software security.

Culture & Benefits

Professional growth and mentorship from experienced developers.
Meaningful work impacting education across the Nordics.
Flexible hybrid work model and an open, supportive culture.
Continuous learning opportunities and access to new technologies.
Commitment to diversity, equity, and inclusion.

Hiring process

Submit your CV or LinkedIn profile.
Interviews held on a rolling basis.
Background checks performed on all final candidates.