Data Engineer vs Software Engineer: Salary & Career Benchmarks in Sweden

In Sweden, Data Engineer roles typically command a higher median salary than Software Engineer positions. According to our 2026 live benchmark data, a mid-level Data Engineer earns a median salary of SEK733K, whereas a Software Engineer brings in roughly SEK667K (a gap of SEK66K at the median).

Seniority, tech stack, and location all move this gap. Senior practitioners in either discipline can exceed the upper range through specialist skills. See the skills premium section below for the specific certifications and tools that push offers to the top of the range.

While both positions are vital to a modern tech organisation, Data Engineer and Software Engineer have fundamentally different daily workflows.

Data Engineer focuses primarily on designing, building, and maintaining scalable data pipelines and infrastructure. Day-to-day work revolves around writing Python or Scala, orchestrating workflows with Airflow or dbt, managing cloud data warehouses like BigQuery or Snowflake, and optimizing ingestion pipelines.

Software Engineer focuses on designing, building, testing, and maintaining software systems across the full product lifecycle. Their time is spent writing production code, reviewing pull requests, writing unit and integration tests, participating in sprint ceremonies, debugging production issues, and contributing to system design discussions.

Transitioning between these two paths is achievable but requires targeted upskilling.

Moving from Data Engineer to Software Engineer: Computer science degree or equivalent self-taught programming skills are the baseline. The Irish and UK market is largely language-agnostic at the point of entry, though Python, TypeScript, and Java dominate hiring volumes.

Moving from Software Engineer to Data Engineer: Strong Python skills, SQL fluency, and comfort with cloud platforms (AWS, GCP, or Azure) are the primary entry points. Software engineers transitioning in find the shift is mostly domain knowledge rather than new fundamentals.

Neither path requires starting from scratch. Professionals in both roles share underlying technology fluency; the gap is usually domain knowledge and specific tooling rather than core engineering fundamentals.

In Sweden in 2026, both roles are seeing demand, but with different drivers.

Data Engineer demand is extreme, particularly in Fintech and gaming platform teams in Stockholm, led by employers such as Klarna and King. Software Engineer demand is extreme, concentrated in Fintech and gaming engineering teams in Stockholm, led by employers such as Klarna and Spotify.

Workspace flexibility significantly impacts total compensation value in Sweden.

Data Engineer roles score 78% on our remote-friendliness index (High). This is because pipeline and infrastructure work is largely asynchronous and tool-driven, which is why remote and hybrid listings remain common among Stockholm scale-ups, though banks such as SEB and Handelsbanken typically expect two to three office days a week. Where in-office attendance is required, it is typically driven by cross-functional data modelling discussions and stakeholder alignment sessions, which Stockholm-based enterprises are more likely than scale-ups to formalise into a fixed hybrid schedule.

Software Engineer roles score 78% (High). Software development is largely async and remote-compatible, which is why remote and hybrid listings remain common among Stockholm scale-ups, though banks such as SEB and Handelsbanken typically expect two to three office days a week is the primary driver of flexibility. When office days are required, it is usually for pair programming, team rituals, and architectural discussions benefit from in-person presence at junior to mid levels, which Stockholm-based enterprises are more likely than scale-ups to formalise into a fixed hybrid schedule.