Назад
Company hidden
5 дней назад

Senior Data Engineer (AI)

60 000 - 72 000SEK
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
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 →