Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
540к-720к SEK/год
530к SEK680к SEKмедиана720к SEK
По похожим ролям (13) ~ 680к SEK/год
Прикинули из 45к-60к SEK/мес × 12
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Хорошая вакансия
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Обязанности в целом соответствуют роли инженера данных, а стек выглядит актуальным, но противоречивые требования к Informatica и обработке данных в реальном времени затрудняют понимание точных ожиданий.
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Несостыковки в требованияхАктуальный стекЭксперименты с ИИНужно право на работу
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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