Job Title: Data Engineer

Location: Utrecht Netherlands

Duration: 12 months contract

Working Mode: Hybrid

• 5-8 years of experience With the KYC teams in the Business Intelligence area, we deliver

management information in regards to anti-money laundering and terrorism financing. And we

support KYC-analysts 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

o 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.

o Working together on new innovative solutions for complex business needs.

o Developing scalable data products to support and accelerate Self-Service Business Intelligence

and data informed decision-making 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 cloud-

native 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 high• 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 problem-solving 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