Azure Data Engineer

Key responsibilities

Support the day-to-day orchestration and running of ETL processes and monitor and investigate data issues as they might arise
Build and adapt analytical data models in Power BI and Power Query to meet functional business requirements and performance needs
Analyse the analytical solutions landscape and act as a technical leader on the tools and approaches to adopt to increase automation, performance, and fault-tolerance in financial planning and analysis
Support business users and analysts on ad-hoc reporting and visualisation projects
Proactively take initiatives to increase the value that our reporting and insights solutions bring to users, by evolving and optimizing the solutions strategically
Develop a deep understanding of the data sets and sources available across the data platform, and match use cases with the most appropriate data source
Support on ad-hoc projects with your problem-solving skills and technical expertise

Requirements

Extensive experience creating and working with tabular and multidimensional models (proficient in DAX, MDX, and SSAS or Power BI data modelling)
Strong SQL skills
Deep understanding of database fundamentals, including relational database design
In-depth understanding of database management systems, online analytical processing (OLAP) and ETL framework
Fluency in Python
Experience with GCP and Azure, or similar
Experience building machine learning pipelines (preferred)

Nice to have

A degree in IT, business management, or equivalent qualifications
Experience working with a finance/controlling function
An affinity with data visualisation
Advanced expertise in Excel visualisations (Cube functions, Power Pivot, etc), and creating Paginated Reports
Experience in data/project governance and management
Experience working with SAP