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Software Engineer – Data & Analytics

Aurora Engineering AB

3.7
7 reviews
Aurora Engineering AB
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Gothenburg, Västra Götaland County, Sweden
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At Software factory we are building a community with highly skilled personnel. We are harmonizing the workflows and developing tools to be used across R&D, with the aim to

accelerate the software development.

We are responsible for:

Developing continuous integration (CI) architecture & infrastructure.

Maintaining the complete software build and CI flow.

Enabling high utilization of infrastructure, test objects and test artefacts.

Creating automated tools & applications to secure an efficient flow.

Supporting traceability to fulfil all legal requirements.

We are applying manufacturing principles and techniques to software development to

mimic benefits of traditional manufacturing and creating a software product line.

Main responsibilities

In this position, you will collaborate with data engineers and analysts to ensure the secure visualization of essential quality KPIs. Your daily tasks will involve frequent interactions with stakeholders to understand their requirements and transform them into valuable insights. You possess strong backend expertise and have an interest in frontend principles, enabling you to deliver intuitive solutions for users. Additionally, you can work across various parts of the stack—including backend, frontend, and data—to help create measurable and actionable KPIs.

Required Qualifications

M.Sc. in Electrical and/or Software Engineering, Computer Engineering, or similar relevant experience.

Advanced SQL for analytics (joins, window functions, percentiles, trend/variance analysis, metric modeling).

Frontend fundamentals: component-based UI development, data visualization patterns, responsive design, and accessibility basics.

JavaScript/TypeScript proficiency for report logic, lightweight backend integration, and automation scripts.

Data pipeline understanding data sourcing, transformation, validation, and troubleshooting data-quality issues.

CI/CD and platform basics: Git workflows, automated build/test/deploy pipelines, containerized deployments, and environment configuration.

Monitoring and reliability mindset: debugging production issues, performance tuning, and safe release practices.

Personal qualities

Structured way of working.

Positive attitude.

Self-driven, result oriented and flexible.

Team player with good communication skills.

Creative mindset.
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