Data Engineer

Stegra Boden AB; Stockholms kommun; On-site; SEK 500,000 - 700,000; Full time

Job summary

Stegra Boden AB is seeking a Data Engineer to join our Digital Domain in finance and HR. You will design, build, and maintain data pipelines and products that enable data-driven decisions.

Candidates should have several years in data engineering, strong SQL skills, and experience with cloud platforms. You will collaborate closely with stakeholders to ensure data solutions create real value. Benefits include working across multiple technical areas and ownership from day one.

Qualifications

• Several years of experience in data engineering or modern data platform development.
• Experience building end-to-end data solutions (ingestion, storage, transformation, consumption).
• Strong SQL skills and experience modeling data for analytical use.
• Experience with cloud-based data platforms and infrastructure-as-code.
• Strong communication skills and ability to explain technical solutions clearly.

Responsibilities

• Design, build, and maintain data pipelines and products for Finance and HR.
• Translate business needs into scalable data models.
• Improve working with data across teams.
• Enable self-service use of data.
• Define best practices for data quality and access control.

Skills

Data engineering experience

Strong SQL skills

Cloud-based data platforms

CI/CD practices

Strong communication skills

Job description

What you’ll do

We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the best data solutions are created close to the business, by teams who understand both the context and the technology. We are now looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You will be part of a cross-functional team where business experts, analysts, and developers collaborate closely. Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices. You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities, and ensuring progress on key initiatives.

• Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions
• Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions
• Help structure and expose data so it is consistent, understandable, and reusable across domains
• Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns
• Enable self-service use of data by making it accessible and usable beyond engineering teams
• Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near‑real‑time, handling historical data, and shaping metrics and semantics for usability
• Define and promote best practices for data quality, testing, documentation, and access control
• Explore how modern tooling, including AI‑assisted development, can improve how we build, test, and maintain data products
• Support and coach colleagues in modern data engineering practices

What you’ll bring

You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed — and how those designs need to evolve as technology and business needs change.

We believe you bring many of the following:

• Several years of experience in data engineering or modern data platform development
• Experience building end-to-end data solutions (ingestion, storage, transformation, consumption)
• Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities
• Strong SQL skills and experience modeling data for analytical use
• Experience with cloud-based data platforms and infrastructure‑as‑code
• Knowledge of engineering practices such as CI/CD, testing, and code review
• Ability to make sound technical decisions without being tied to specific tools or vendors
• Interest in areas such as self‑service analytics, semantic modeling, temporal data, and data governance
• Experience working closely with business stakeholders, analysts, or operational teams
• Strong communication skills and ability to explain technical solutions clearly

Nice to have

• Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization

Benefits at Stegra

At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive.

Here’s what makes this role unique:

• Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem.
• Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration.
• Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital solutions create real value in their day‑to‑day operations.