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Plaats
Crafting technical solutions that elevate the capabilities of engineering, data, and business teams. Your contributions enable the Data Engineering team to construct a robust data platform, crucial for the real-time detection of fraud, anti-money laundering activities. You will be working with state of the art technologies Like CI / CD and contaiinerization, Azure Databricks. and working in a data engineering team of 12 people.
Job description
In the Datalake team, we weave the fabric of our infrastructure with code, automating the build, test, and deployment processes seamlessly. Your role involves not only crafting impeccable solutions but also supporting our users by creating comprehensive documentation, tutorials, and personalized guidance for varying technical skill levels.
You'll collaborate closely with business-facing team members and other technology solution delivery, architecture, and platform teams to deliver high-quality software solutions that address specific business challenges.
Our Data Management team, divided into four specialized groups, is seeking new talent for the Datalake team. Here, we are forging a cutting-edge Big Data & AI platform for our internal analytics users, leveraging tools like Azure Databricks, Delta Live Tables, Python, and dbt. Join us to be a part of this innovative journey.
Job Requirements
To be suitable for this data engineering position you have the following:
- You have an computer science or engineering or similar degree
- At least from 2 years experience in building state of the art data engineering soluitons in unstructured and structured data, scheduling and orchestration.
- Strong experience in Python, Kafka, cloud computing, CI / CD and DevOps
- Experience in SQL and database design
- Experience with Azure Databricks will be recommended
Company profile
Our client is a very interesting company with a big Data team of 25 people and 12 data engineers. Always following up the latest trends and working with the newest technologies in a big environment. Great company to work for with a gym nearby (paid by the company) very good benefits and you can make huge impact on milions of users.
Terms and conditions
- more than 29 holidays
- Pension scheme
- Salary between 4000 - 5300 euro gross a month
- Bonus scheme (13th month)
- Laptop
- 4 days remote 1 day to the office
- Study budget
