Azure Data Architect

· Data architect with good experience in Azure, cloud and ETL data solutions

· Strong experience in Azure databricks, ADF, Azure SQL (also hands on).

· Databricks or Azure Synapse used in an actual project, and not only listed under skills. For Databricks we would look for PySpark and Delta Lake, and for Synapse, SQL pools and pipelines.

· Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or an equivalent field

· Knowledge and some working experience in Pyspark (optional)

· Good communication skills

• Competitive salary aligned with your experience and market benchmarks
• International, diverse & inclusive team culture
• Open team spirit in a technology-driven organisation that values collaboration and innovation

As a Azure Data Architect, you will make an impact by designing and delivering enterprise-grade reporting and analytics solutions that support critical business and regulatory decision-making within a complex financial services environment. You will be a valued member of the banking technology team, working collaboratively with Product Owners, Business Analysts, and cross-functional stakeholders to transform raw data into strategic insights that drive decisions at scale.

This is not just a technical role - it is a high-impact position where your expertise in semantic layers, and cloud-native analytics will directly shape how the business understands and acts on its data. You will operate at the intersection of data engineering and business intelligence, supporting regulatory reporting, performance analytics, and enterprise data quality across multiple applications.

• Design and develop enterprise data models using Star Schema (preferred) and Snowflake Schema approaches that form the backbone of scalable, high-quality reporting solutions
• Build and maintain Azure Synapse Analytics-based data solutions, including ELT and T-SQL data transformation processes that ensure reliable data flow from source to insight
• Develop rich Power BI reports, dashboards, DAX calculations, and tabular models/cubes that translate complex business requirements into intuitive, decision-ready visuals
• Collaborate closely with Product Owners and Business Analysts to capture and convert reporting requirements into scalable data products across multiple banking applications
• Maintain and support centralized reporting environments, including SSRS and Tableau solutions, ensuring data quality and consistency across the full analytics landscape