For one of my clients in the FinTech sector, I’m looking for a hands-on Data Engineer.
This FinTech company is growing rapidly and investing heavily in new markets, its data platform and advanced analytics. It is an international organization with a nice and professional atmosphere. The teams are multidisciplinary, and the company offers flexibility in terms of remote work, working hours and having responsibilities. The people who work here can be described as eager, enthusiastic people who care about the organization and want to build something to be proud of.
As a Data Engineer in this team, you create data systems that enable complex data for other teams who use it for business analysis and insights. Your job is a mixture of data engineering and software engineering. You will work with structured and unstructured data that is really complex and has specific requirements. You have hands-on experience with Python, PySpark, AWS, data pipelines and preferably knowledge of Airflow, APIs, (web)services and Kubernetes. You will work on a hub or platform where the data is stored and later on, there is a chance that you can help the advanced analytics team. You have a can-do mentality and take ownership. You are someone who can deliver solutions and challenge the other Engineers in the team.
- Data Engineer/Software Engineer with 4+ years of experience
- Hands-on experience with Python and PySpark
- Knowledge of AWS
- Knowledge of Airflow, APIs, (web)services and Kubernetes is beneficial
- Experience with data pipelines and complex data environments
- Taking ownership and a can-do mentality
- High Impact
- International team
- Long term project +12 months
- 32/40 hours per week
- Flexbile Startdate
- Working from home
Do you want to apply? Click on the application button or feel free to contact me on 038 200 1016 or email@example.com