5 дней назад
Senior Analytics Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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