Data Engineer

As a IT Development Engineer (III) in the Voyager team, you and your team are responsible for the RAP platform, a data lake used for (Credit Risk) Data Modelling purposes. The team is working fully Agile DevOps and has end to end responsibility.

Your job
• You work closely with modellers and data engineers to understand the data they need

• Coach and support the less experienced team members in design and building data solutions in a future proof way and writing the code to implement it

• Engage in maintaining the solutions, resolve bugs and make sure the solutions run according to the expectations of our stakeholders

• Develop ETL/ELT pipelines for processing and handling large amount of data and monitor the performance of the pipeline and other cloud services.

• Develop BI data models and create BI reports.

• Discuss requirements with stakeholders and prioritize them accordingly with the team.

The person should have a very good and deep understanding of data processes, data modelling, data pipelines (ETL), data lifecycle etc. The replacement should also have a good understanding of Big Data systems as well as BI. Technology wise:Python, ADLS, ADF, Databricks, PowerBI, CI/CD, Azure DevOps. Complimenting this with a bit of business understanding is an added value, because it enables to challenge the stakeholders and drive a constructive discussion regarding the requirements.

Working environment
The RD&M Grid is part of Risk Management. The Risk Management organization is a dynamic environment where we work in an Agile way to be able to have focus and being result-oriented in light of the (technological and regulatory) developments and work together with our internal customers.
•Working in an multi-disciplinary Scrum team of around +/- 9 people
•Informal environment with a lot of room for fun
•Young and dynamic department
•Diverse and international environment (e.g. at least 8 different nationalities are represented currently)

Your profile

• You are familiar with cloud concepts (preferably Azure)

• You have hands-on experience with building data solutions with Azure native data tooling (i.e. Data Factory, Data Bricks) and other data related technologies (i.e. Spark)

• You have a deep understanding of data processes, data modelling, data pipelines (ETL), and data lifecycle.

• You are familiar with Python

• You have a good understanding of Big Data systems as well as BI.

• Technology wise, you have experience in Python, ADLS, ADF, Databricks, and PowerBI, and CI/CD.

• You have experience with coaching your less experienced team members in their design and development activities

• You have knowledge of and are interested in the latest IT-trends, both within and outside your area of expertise (cloud, API, Open Banking, DevOps, CI/CD, SOA, etc.)

• You have worked in the financial sector At a glance