Azure Data Engineer

Global technology company

• Curate structured, semi-structured, and unstructured data by creating efficient, cost effective and scalable pipelines leveraging databricks and Azure Analytics stack
• Create and maintain robust data pipeline architecture, ensuring data quality, reliability, and scalability.
• Assemble and manage large, complex data sets to meet functional and nonfunctional business requirements.
• Identify, design, and implement process improvements, including automation of manual processes and optimization of data delivery.
• Work closely with Product Owners, Scrum Masters, and Enterprise Data Management leadership to ensure timely and high-quality delivery of data solutions.
• Align with Data Engineering chapter standards and processes.
• Mentor and coach the team members to achieve engineering excellence
• Work with architects to design robust, scalable and cost-effective data solutions

• 6 years in a Data Engineer role, with a degree in Computer Science, Statistics, Informatics, Information Systems, or a related field.
• Solid software engineering and DataSecOps background, including CICD tools expertise
• Strong ability to effectively translate complex technical concepts into simple terms.
• Experience with Databricks, including recent features available in the tool.
• Experience on Microsoft Azure analytics stack, as well as real-time analytics tools
• Advanced proficiency in SQL and familiarity with various databases.
• Understanding of data modelling techniques for analytics.
• Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience with data security operations, preferably on the Azure stack.
• Ability to troubleshoot and solve complex data-related issues.
• Awareness of data management frameworks (e.g., DAMA) and exposure to data quality and catalogue tools such as Collibra or Alation will be highly rewarded
• API development and optimised strategies to serve real-time data will be highly regarded
• Openness to work between 7/8 a.m. and 3/4 p.m. CET,
• Good verbal and written communication skills in English