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Cơ bản

Fullstack Engineer or Data Engineer

Stockholm, Stockholm County, Sweden Công ty: TN Sweden Khách hàng / Nhà tuyển dụng: Ditalent
Đã đăng: 18.05.2026
Ngày kết thúc: 02.07.2026
Giới thiệu công việc: 0ec3f453a65a6167f1db45b99b27f00c

Thông tin việc làm

Địa điểm
Stockholm, Stockholm County, Sweden
Công ty
TN Sweden
Khách hàng / Nhà tuyển dụng
Ditalent
Giới thiệu công việc
0ec3f453a65a6167f1db45b99b27f00c
Loại thông tin đăng tải
Cơ bản
Yêu cầu giấy phép lao động EU
Không
Đã đăng
18.05.2026
Ngày kết thúc
02.07.2026

Mô tả công việc

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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