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5 дней назад

Senior Analytics Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Denmark/Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Analytics Engineer (Databricks): Building reliable data foundations and scalable data products for Manufacturing and Engineering with an accent on dimensional data modelling, automated pipelines, and trusted analytics solutions. Focus on designing Databricks-based platforms, transforming complex operational data, and improving data quality, scalability, and availability for business decision-making.

Location: Billund, Denmark; hybrid work with an average of 3 days per week in the office

Company

hirify.global develops products and manufacturing capabilities while enabling Operations to create value from data.

What you will do

  • Design and maintain dimensional data models and a reliable data foundation for Manufacturing and Engineering.
  • Create and manage scalable data products on Databricks that provide trusted, high-quality data.
  • Build and automate ETL pipelines, APIs, and analytics capabilities using cloud-based platforms.
  • Transform complex operational data into solutions that support business decisions and performance improvement.
  • Contribute to data engineering standards, DataOps practices, and ways of working across the organisation.
  • Collaborate with product managers, project managers, peers, and business stakeholders to shape data solutions.

Requirements

  • Production experience with Python, PySpark, and SQL.
  • Experience building dimensional data models for reporting, analytics, or operational decision-making.
  • Experience creating, maintaining, and automating ETL pipelines in cloud platforms.
  • Experience applying DevOps and DataOps practices to improve quality, scalability, security, and automation.
  • Experience with Azure, AWS, or Google Cloud and with developing reliable data products.
  • Ability to work in the hybrid setup in Billund, with an average of 3 office days per week.

Nice to have

  • Experience with agentic data engineering concepts.
  • Experience with Power BI Dataflow or similar technologies.
  • Experience delivering data engineering or analytics solutions in manufacturing environments.
  • Experience developing Databricks-based reporting, dashboards, or analytics capabilities.

Culture & Benefits

  • Collaborative, curious environment focused on sharing ideas and solving problems together.
  • Enhanced paid family care leave.
  • Life and disability insurance coverage.
  • Wellbeing resources and community-building opportunities.
  • Colleague discount and an eligible bonus scheme.
  • Inclusive culture with a focus on equal employment opportunity and belonging.

Hiring process

  • Applications are reviewed on an ongoing basis.
  • The hiring team will discuss hybrid policy and role eligibility during the recruitment process.

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