Junior and Senior Data Engineer Azure

Junior and Senior Data Engineer Azure
Location: Netherlands
Duration: 12 months

With the KYC teams in the Business Intelligence area we deliver management information in regards to antimoney laundering and terrorism financing. And we support KYCanalysts with information overviews and dashboards to perform their job as efficiently as possible.
Therefore we help reducing criminal activities and can be regarded as the gatekeepers of the financial system. Each KYC team consists of about 8 colleagues and is a mix of analysts and developers.

Top responsibilities

• Designing and developing new solutions in the Microsoft Azure stack such as Azure Data Factory Databricks Azure DevOps deployment pipelines Synapse Analytics Azure Analysis Services Power BI etc.
• Working together on new innovative solutions for complex business needs.
• Developing scalable data products to support and accelerate SelfService Business Intelligence and data informed decisionmaking processes.

Senior data engineer who gets excited by both building and deploying big data as well as sharing knowledge and guiding junior and medior data engineers. You will work on Azure where you use cloudnative components (e.g. ADF ADLS gen2 Databricks) and value the separation between storage and computing. Azure has no hidden secrets for you!
Familiar with data architecture and data management and able to link the different domains of data to leverage highquality data delivery.
Experienced with programming languages such as Python Pyspark and SQL. Our Senior Data Engineers actively participate to keep up to date with the latest technological developments.

Experience and qualification:

• Bachelor's or Master's degree in Computer Science Information Technology (pre) or related field;
• At least 5 years of demonstrated experience within Data Engineering;
• Considerable experience with Azure functions as Azure Data Factory Azure Data Lake Storage Airflow etc.
• Strong proficiency in at least one programming language such as Python Pyspark and SQL;
• Strong knowledge of database design principles data modelling and ETL processes;
• Interest in and willingness to learn big data technologies such as Spark and NoSQL databases

Competencies:

• Comfortable in guiding a team of engineers BA’s and testers;
• Excellent collaboration with others;
• Strong problemsolving skills and attention to detail;
• Excellent communicator and able to link colleagues cross domains;
• Up to date with latest technological developments;
• Experience in Agile/Scrum way of working;
• Innovative thinking