Data Engineer Amsterdam

Vacatureomschrijving

Your main activities amount to the following:

• You will collect, load, prepare, clean and deliver data in different data platforms;
• You will build, monitor and maintain ETL pipelines;
• You will identify ways of improving data quality and efficiency; 
• You will collaborate with different stakeholders, including product owners and data architects;
• You will have the opportunity to work with Infrastructure as Code. 

Gevraagd

• You have a Bachelor's degree in computer science or relevant field;
• A minimum of 2.5 years’ of relevant experience as a data engineer;
• You have experience working with Python and Spark,
• You have experience working with SQL;
• You have knowledge and/or experience with Azure Data tooling; (Data bricks, Azure Functions, etc.) (pré);
• You have experience in DevOps way of working (pré);
• You speak fluent English.

Aanbod

Arbeidsvoorwaarden

• Holiday pay 8% of gross annual salary;
• 23 Vacation days + 1 bonus day per quarter if you have remained fit and healthy (read: do not report sick);
• Travel allowance 19 cents / kilometer;
• E-learning portal with (almost) all IT training and education that you can propose;
• 50 euros for medical expenses (you can count gross on top of your salary!).

Sollicitatieprocedure
For more information please contact Michelle Morsink via de button "Solliciteer nu" op deze pagina. or call 0031643230617.

Bedrijfsomschrijving

You will work in a big financial organization in Amsterdam. In this position, you will join a very diverse environment with professionals from different nationalities. These professionals work agile, they have a DevOps mindset and are open to share their knowledge with you and challenge you on your skills.

The domain you will be working on is responsible for delivering financial and non financial data that is used by both the business and stakeholders. The team's ambition is to continuously innovate and improve the risk data landscape. Furthermore, as a data engineer you will load, transform and integrate data into reports for their two different data platforms.