Data Engineer
Skills
Azure Data FactoryWarehouse OperationsContinuous ImprovementData ArchitectureData WarehousingDatabasesEnglish
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- At least 5 years as a Data Engineer with Azure data tools, especially Azure Data Factory
- Proficiency in SQL, Python, and data engineering frameworks
- Strong data modelling knowledge including dimensional modelling and warehouse design
- Strong understanding of cloud platforms preferably Azure
- Knowledge of data warehousing concepts ETL and ELT practices
- Previous experience in Financial Services with Savings or Lending Products
- Ability to solve complex data challenges independently
- Strong communication skills with stakeholders and technical teams
- Experience working in product squads embedded in product delivery
- Fluency in English
Nice to have
- Responsible
- Motivated
- Collaborative
- Independent
- Detail-oriented
Day to day
- Work within a cross-functional product squad to shape data as a product and support customer experiences, decision-making, and growth.
- Design and build scalable Azure-based data pipelines and data warehouse solutions using Azure Data Factory and SQL databases.
- Own and improve the data layer by defining metrics, translating requirements into data models, and ensuring reliable, trusted, actionable data.