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44 минуты назад

Advanced Data Engineer (AI & Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Austria/Switzerland
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
Advanced Data Engineer (AI & Data): Designing, implementing, and maintaining distributed data pipelines and scalable data products for customer data platforms with an accent on cloud data platforms, heterogeneous data, and reproducible datasets. Focus on advising clients, building data architectures, integrating batch and streaming systems, and collaborating with architects, software engineers, and data scientists.

Location: Vienna, Austria, with the possibility to work from home and flexible working hours

Company

hirify.global is a Switzerland-founded global transformation partner delivering technology strategy, digital solutions, data platforms, and engineering services across regulated and complex industries.

What you will do

  • Advise customers on technical solutions for data challenges and communicate proposed approaches to technical and non-technical stakeholders.
  • Design, develop, test, and monitor distributed data-processing pipelines.
  • Build scalable, maintainable, and reproducible datasets from diverse data sources.
  • Develop data products that meet the needs of data producers and consumers.
  • Collaborate with data architects, software engineers, and data scientists.
  • Deliver data projects iteratively using agile methods and stay current with new technologies.

Requirements

  • University degree in computer science, software engineering, data science, or a comparable field.
  • At least 3 years of experience in data engineering or software engineering.
  • Experience designing, building, and maintaining high-quality data products.
  • Knowledge of data architectures such as data lakes, data lakehouses, medallion architectures, data products, streaming, and batch processing.
  • Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, or Amazon SageMaker, plus relational and non-relational databases.
  • Fluency in German and English is required; experience with big data, structured and unstructured data, agile development, DevOps, and AI-augmented software engineering.

Nice to have

  • Hands-on experience or strong interest in Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, Python, Scala, SQL, or R.
  • Understanding of data analysis, data visualization, and data science.

Culture & Benefits

  • Flexible working hours and the possibility to work from home.
  • Annual salary supplemented by a potential profit-share payment based on company performance.
  • Inclusive, international community across 16 offices, with team camps and local celebrations.
  • Investment in professional development and future technical skills.

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