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2 часа назад

Data Engineer III

45 000 - 60 000SEK
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer III (Python/Spark): Building, optimizing, and maintaining scalable data pipelines and integrations across a global product portfolio with an accent on SQL, ETL/ELT, data platforms, and pipeline reliability. Focus on real-time data processing, cloud-based data architectures, and applying AI agents and agentic workflows to automate data operations and improve engineering efficiency.

Location: Hybrid role based in Stockholm, Sweden; candidates must have the right to work in Sweden. Relocation and work permit sponsorship are not available.

Salary: 45,000–60,000 SEK per month.

Company

Builds a Customer Communications Cloud with mobile messaging, voice, email, APIs, applications, and AI-enabled network infrastructure for business customer communications.

What you will do

  • Design, build, optimize, monitor, and maintain reliable and scalable data pipelines.
  • Support data integration across diverse platforms and products to enable efficient data movement.
  • Improve pipeline performance, data quality, reliability, development processes, and engineering practices.
  • Use AI-assisted development tools for coding, testing, debugging, and documentation while maintaining code quality.
  • Explore AI agents and agentic workflows to automate data operations and improve engineering efficiency.
  • Collaborate on data engineering projects, own assigned work, share knowledge, and contribute to continuous improvement.

Requirements

  • Proficiency in software development with Python, Spark, Git, CI/CD, and Docker.
  • Strong SQL skills for data querying and ETL/ELT development.
  • Experience structuring and storing large data volumes in data lakes and warehouses.
  • Ability to fix and optimize data pipelines for performance and reliability.
  • Familiarity with Airflow or Dagster and experience using Databricks.
  • Cloud experience with AWS or GCP.
  • Knowledge of Data Lake, Data Mesh, and Data Fabric architectures.
  • Strong communication skills and fluency in English for collaboration with technical and business stakeholders.
  • Right to work in Sweden is required.

Culture & Benefits

  • Hybrid work based in Stockholm.
  • English is the corporate language and must be used for the application.
  • Work in a collaborative environment built around curiosity, knowledge sharing, innovation, and continuous learning.
  • Structured, competency-based interviews and, when applicable, a data-driven assessment.

Hiring process

  • Submit the application in English.
  • Participate in structured, competency-based interviews; a data-driven assessment may also be included.

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