Azure Data Engineer

Tasks: • 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 We offer: • Fully remote work • Private medical care • All equipment needed for work

• 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