मूलवर्ती

Fullstack Engineer or Data Engineer

Stockholm, Stockholm County, Sweden अतिथि: TN Sweden ग्राहक/नियोक्ता: Ditalent
नियुक्त: 18.05.2026
अंतिम तिथि: 02.07.2026
नौकरी का संदर्भ: 0ec3f453a65a6167f1db45b99b27f00c

नौकरी की जानकारी

स्थान
Stockholm, Stockholm County, Sweden
अतिथि
TN Sweden
ग्राहक/नियोक्ता
Ditalent
नौकरी का संदर्भ
0ec3f453a65a6167f1db45b99b27f00c
लिस्टिंग प्रकार
मूलवर्ती
यूरोपीय संघ के वर्क परमिट की आवश्यकता है
नहीं
नियुक्त
18.05.2026
अंतिम तिथि
02.07.2026

नौकरी का विवरण

About us

We are a dynamic and innovative company looking for talented individuals to join our team in Stockholm. We operate within the fast-paced Fintech industry, leveraging cutting-edge technology to solve complex problems and deliver exceptional value.


Responsibilities
  • Design, build, and maintain robust and scalable production-grade data pipelines.
  • Develop and optimize ETL processes to ensure efficient data flow and transformation.
  • Create and manage data models that support business analytics and reporting needs.
  • Collaborate with cross-functional teams to integrate data solutions into various applications.
  • Ensure data quality, reliability, and security across all systems.
  • Contribute to the full software development lifecycle, from conception to deployment and maintenance.
  • Utilize Python extensively for data engineering tasks and application development.


Qualifications
  • The candidate has held the job title Fullstack Engineer or Data Engineer or its equivalent.
  • The candidate must have at least 5 years of professional experience.
  • The candidate has mainly worked in the Fintech industry.
  • The candidate must have knowledge of Python.
  • The candidate has experience building and maintaining production-grade data pipelines, ETL processes, and data models.
  • The candidate should be based in Stockholm.
  • Candidate has experience with cloud platforms like AWS, GCP, or Azure.
  • Candidate is proficient with SQL and database technologies (e.g., PostgreSQL, MySQL).
  • Candidate has experience with data warehousing solutions like Redshift, BigQuery, or Snowflake.


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