Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
720к-864к SEK/год
510к SEK690к SEKмедиана720к SEK
По похожим ролям (9) ~ 690к SEK/год
Прикинули из 60к-72к SEK/мес × 12
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
82
Хорошая вакансия
развернуть
У роли понятная техническая ответственность, наставничество и современные задачи по инженерии данных, хотя эксперименты с ИИ могут отвлекать от основной работы с пайплайнами.
Кликните для подробной информации
Широкий круг задачСовременный стекТехническое лидерство
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (AI) (Python/Spark/Databricks): Designing, building, and optimizing scalable data pipelines and integrations across a global communications platform with an accent on data architecture, governance, reliability, and AI-assisted development. Focus on leading data engineering projects, exploring LLMs and agentic workflows, and improving data operations through automation and modern engineering practices.
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: 60,000–72,000 SEK per month.
Company
Sinch is a global customer engagement platform providing communication services across messaging, voice, and email for businesses.
What you will do
Lead data engineering projects, make technical decisions, and deliver scalable, high-quality solutions.
Act as a technical authority, support leadership, and mentor team members on architecture, engineering practices, and emerging technologies.
Design, develop, optimize, monitor, and maintain reliable data pipelines across diverse platforms and products.
Drive data integration and improve access to reliable data across the product portfolio.
Champion code quality, automation, AI-assisted development, continuous improvement, and modern data engineering practices.
Explore AI agents, LLMs, and agentic workflows to automate development and data operations and improve engineering efficiency.
Requirements
Professional experience in pipeline development and governance, data virtualization tools, and real-time data processing.
Proficiency in software development with Python, Spark, Git, CI/CD, and Docker.
Experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar for coding, debugging, testing, and documentation while maintaining code quality, security, and maintainability.
Strong SQL skills for data querying and ETL/ELT development.
Strong interest in AI agents, agentic workflows, LLMs, autonomous agents, and AI-driven automation applied to data engineering and developer productivity.
Experience structuring and storing large volumes of data 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 in AWS or GCP.
Knowledge of Data Lake, Data Mesh, and Data Fabric architectures, plus strong communication skills and fluent English for technical and business stakeholders.
Culture & Benefits
Hybrid work based in Stockholm.
Corporate language is English.
Values include dreaming big, winning together, keeping it simple, and making it happen.
Inclusive and equal-opportunity workplace with a fair, objective, consistent, and inclusive recruitment approach.
Hiring process
Structured, competency-based interviews evaluate relevant skills, experience, and qualifications.
A data-driven assessment may be included in the process.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →