Data Engineer: Pipelines & Dashboards (Remote-Friendly)

Naturalcycles Nordic AB

Stockholms kommun

Hybrid

SEK 450,000 - 600,000

Full time

14 days+
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Benefits offered by this job

Flexible work arrangement
Professional development opportunities
Modern technology usage
Impactful projects involvement
Commitment to quality

Job summary

Naturalcycles Nordic AB in Stockholm is seeking a Software Engineer (Data) to enhance data initiatives, ensuring quality and performance across projects. You will work with a talented team focusing on data infrastructure, analytics, and business intelligence tools.

Ideal candidates possess skills in SQL, Python, and data visualization tools. The role supports a flexible work environment but emphasizes collaboration.

The company values diversity and encourages candidates from all backgrounds to apply.

Qualifications

  • Some understanding of data infrastructure and deployment pipelines.
  • Good knowledge of data visualization tools, particularly Tableau.
  • Great analytical skills for conducting investigations.

Responsibilities

  • Maintain and improve data warehouse performance.
  • Integrate new data sources into data pipelines.
  • Investigation of data quality issues.
  • Provide dashboards and reports for stakeholders.
  • Automate routine data operations.

Skills

Data infrastructure understanding
Data visualization tools knowledge
Analytical skills
ETL and data pipelines knowledge
SQL proficiency
Python programming
RESTful API experience
Typescript familiarity

Tools

Tableau
Mixpanel

Job description

Naturalcycles Nordic AB in Stockholm is seeking a Software Engineer (Data) to enhance data initiatives, ensuring quality and performance across projects. You will work with a talented team focusing on data infrastructure, analytics, and business intelligence tools.

Ideal candidates possess skills in SQL, Python, and data visualization tools. The role supports a flexible work environment but emphasizes collaboration.

The company values diversity and encourages candidates from all backgrounds to apply.

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