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Data Engineering Associate

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands
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 Engineering Associate (Azure/Data Platforms): Building operational data platforms and complete technical solutions for digital marketing, e-commerce, Business Intelligence, and self-service analytics with an accent on ETL/ELT pipelines, data lakes, streaming hubs, and machine learning services. Focus on designing scalable data architectures, integrating Azure services, and translating business and technical requirements into production systems.

Location: Amsterdam, Netherlands

Company

hirify.global is a global consulting firm delivering AI and data, digital commerce, marketing and design, and advisory solutions across multiple industries.

What you will do

  • Engineer technical solutions for digital marketing, e-commerce, Business Intelligence, and self-service analytics challenges.
  • Collect functional and non-functional requirements while accounting for technical environments, business constraints, and enterprise structures.
  • Design and build operational data platforms, including ETL pipelines, data anonymization pipelines, data lakes, streaming data hubs, web services, and machine learning model training and scoring systems.
  • Collaborate with partners, strategy consultants, and data scientists in a flat, agile organization.
  • Share data engineering knowledge through technical training and mentor team members.

Requirements

  • 3–4 years of experience in data analytics.
  • Knowledge of data warehousing principles, including ODS, data marts, data lakes, data vault, and 3NF.
  • Advanced SQL, data transformation, data profiling, and production ETL/ELT pipeline development skills.
  • 1–2 years of hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, App Logic, and other data analytics services, including streaming.
  • Experience with Airflow, Kubernetes, Git, CI/CD, and Docker.
  • Programming experience with Python, PySpark, and Bash, plus a relevant bachelor's degree.

Nice to have

  • Basic knowledge of Power BI.
  • A master's degree in a relevant technical discipline.

Culture & Benefits

  • Collaborative environment with multidisciplinary experts.
  • Regular interaction with senior client stakeholders.
  • International and diverse team.
  • Flat and agile organization that values personal initiative, curiosity, collaboration, and continuous improvement.
  • Commitment to diversity, equity, inclusion, and belonging.

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