Join a forward-thinking company dedicated to leveraging data to drive innovation and business success! 
We are looking for a skilled Azure Data Engineer to join our team and contribute to our data management and analytics initiatives. If you are passionate about data engineering and thrive in a collaborative environment, we want to hear from you.

Key Responsibilities

Azure Data Engineering:
Utilize 3+ years of experience with Azure Data Factory, Synapse, and Data Bricks. Manage related Azure cloud infrastructure services, ensuring compliance with data sensitivity, privacy, and security policies.

Solution Architecture:
Architect solutions for Power Platform and Dynamics 365. Oversee end-to-end deployment of Microsoft SQL Server Integration Services (SSIS) to manage and populate data warehouses.

ETL Pipeline Building:
Develop robust ETL pipelines and data models at scale, accommodating complex data from multiple ERPs.

SQL Expertise:
Write complex SQL queries and stored procedures.
Optimize database performance and structure data sets for Power BI integration.

Data Mesh Experience:
Lead the adoption and evolution of data mesh architecture. Guide operating companies towards improved data management and advanced analytics.

Automation Leadership:
Develop enterprise-level solutions to automate manual data aggregation tasks. Eliminate repetitive financial reporting tasks and automate data set modelling.

CI/CD Application:
Apply CI/CD practices across the analytical processing ecosystem. Optimize computational and storage efficiency through best practices and tools.

Nice to Haves:

• Familiarity with ERP systems such as System 21, Pronto, MYOB Enterprise, Sage, or SAP.
• Experience in supply chain, distribution, manufacturing, or finance.
• Knowledge of master data management tools like Stibo or Tibco.
• Experience with Microsoft Purview or similar data catalog and governance tools.
• Knowledge of Power BI as a front-end analytical tool and standard financial concepts.

Personal Characteristics:

• Customer-first mindset with a commitment to data quality, security, and privacy.
• Ability to see the bigger picture and align changes with business goals.
• Radical transparency and collaboration to inspire team communication.
• Ownership and accountability for actions and results.
• Ability to leverage and complement the skills of others across the organization.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies and innovative projects.
• Supportive and collaborative team environment.
• Professional development and career growth opportunities.