Azure Data Engineer

Client department is looking for an ambitious DevOps Engineer for the set-up of the Finance Data Platform. The department is responsible for the application management (Dev/Ops) of all IT applications used by the different head office functions departments (i.e. Finance, Risk, HR, etc). You will operate as a team member in a DevOps team working on different challenges. The team will set-up the data platform which will service multiple Biz Dev/Ops teams of NN Group (Risk, Finance etc) in a standard way on a common platform native cloud (Azure). This DevOps team will further build up on the MS Azure platform beyond Finance project platform and will create value in growing the technical infrastructure for NN Group Finance and International/Domestic BU’s.

You are

• You are an enthusiastic Azure Data engineer who is passionate about all things data integration, ETL, Data Warehousing, Data Factory

• You provide feedback to your colleagues to support personal development.

• You are a multi-skilled engineer;

• You are a sparring partner for the Product Owner and contribute to the roadmap- and sprint planning by defining and estimating user stories. You report on progress and
  impediments on a daily basis to the team and support further development of the DevOps way of working and contribute in optimizing the IT-processes;

Your role

• As the Azure Data Engineer, you will be working in a rapidly growing Data Integration Services/Platform team

• Support the planning and implementation of data platform services including sizing, configuration, and needs assessment

• Design and build modern data pipelines and data streams

• Implement effective metrics and monitoring processes

Your profile

• Experience in Agile (Scrum) way of working

• Understanding of CI/CD process & way of working

• Hands on experience on business intelligence development or data engineering experience

• Love for automation and passion for Cloud technologies

• Experience and interest in understanding the business (Finance/Risk domain)

• Demonstrated proactive approaches to problem-solving

• Good command of spoken and written English

Your Skills

• Extensive ETL experience;

• Solid experience with data modelling, data warehouse design and data lake concepts and practices;

• Exposure working in a Microsoft Azure Data Platform environment;

• Azure Data Factory

• Azure Storage (Blob or Data Lake)

• Databricks • Azure Functions / Logic

• Power BI knowledge/experience

• SQL Azure DB • SQL Azure DW. • Azure DevOps – CI/CD

• Programming skills experience eg: Phyton, PowerShell