Data engineer

I-Ray IT Solutions AB

Stockholms kommun, Solna kommun

Hybrid

SEK 700,000 - 1,000,000

Full time

29 hours ago
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Job summary

I-Ray IT Solutions AB in Stockholm/Solna is seeking a Senior Data Engineer / BI Consultant for a long-term hybrid assignment. Start: 12 October 2026. Location: Solna/Stockholm, hybrid – normally 3 days/week on site.

The role requires 2+ years in R and Python, 3+ years SAS, Power BI and SQL, ETL experience, strong data visualization, and experience with large data sets and 500+ employee organizations. Extent: 80%.

Qualifications

  • 2+ years of R and Python programming experience within the last 5 years.
  • Experience designing data visualization solutions within the last 2 years.
  • 2+ years of ETL and SQL experience within the last 6 years.
  • 3+ years of SAS experience within the last 6 years.
  • 3+ years of Power BI experience within the last 6 years.
  • 3+ years of experience working with large amounts of data.
  • 3+ years of experience working in organizations with 500+ employees.
  • Good Swedish, both spoken and written.

Skills

R
Python
SAS
Power BI
SQL
ETL
Data Visualization
Data Engineering
BI

Job description

We are looking for a Senior Data Engineer / BI Consultant for a long-term consulting assignment in Stockholm/Solna.

Start: 12 October 2026

Duration: Until 12 June 2027, with possibility of extension

Location: Solna/Stockholm, hybrid – normally 3 days/week on site

Extent: 80%

Required:

  • 2+ years of R and Python programming experience within the last 5 years
  • Experience designing data visualization solutions within the last 2 years
  • 2+ years of ETL and SQL experience within the last 6 years
  • 3+ years of SAS experience within the last 6 years
  • 3+ years of Power BI experience within the last 6 years
  • 3+ years of experience working with large amounts of data
  • 3+ years of experience working in organizations with 500+ employees
  • Good Swedish, both spoken and written

Key skills: R, Python, SAS, Power BI, SQL, ETL, Data Visualization, Data Engineering and BI.

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