What do we do?

As a pioneer for digital transformation GFT develops sustainable solutions across new technologies – from cloud engineering and artificial intelligence to blockchain/DLT. With its deep technological expertise, strong partnerships, and comprehensive market know-how GFT offers advice to the financial and insurance sectors, as well as in the manufacturing industry. Through the intelligent use of IT solutions GFT increases productivity and creates added value for clients. Companies gain easy and safe access to scalable IT-applications and innovative business models.

Who are we?

Having started in Germany in 1987, GFT Technologies has grown to become a trusted Software Engineering and Consulting specialist for the international financial industry, counting many of the world’s largest and best-known Banks as our clients. We are an organization that empowers you to not only explore but raise your potential and seek out opportunities that add value. At GFT, diversity, equality, and inclusion are at the core of who we are. Ensuring a diverse and inclusive working environment for all communities is one of the main pillars of our diversity strategy, based on our core values and culture. We have been certified for 2022/23 as a ‘Great place to work’ in the APAC region. So, if you want to have the opportunity to work with an outstanding and progressive organization this position could be right for you.

Role Responsibilities

We are seeking a highly skilled Data Engineer to join our Credit Risk Team. The ideal candidate should have extensive experience in designing, developing, and maintaining data pipelines for credit risk-related projects. They must have experience working with Airflow, AWS, and Kubernetes, which are all critical components of our data engineering infrastructure.

• Collaborate with the Credit Risk Team to understand their data engineering requirements and design scalable data pipelines.
• Build and maintain ETL workflows using Airflow to ensure efficient and reliable Credit Risk reporting.
• Ensure data quality and accuracy by implementing data validation and monitoring processes within key Credit Risk pipelines
• Develop and maintain data models to support the Credit Risk Team's analytical and reporting needs
• Deploy and manage data infrastructure on AWS using Kubernetes
• Stay up to date with the latest industry trends, tools, and technologies related to data engineering and credit risk.

Required Education & Experience

• At least 3-5 years of experience as a Data Engineer, preferably in the financial services industry with a focus on credit risk
• Strong experience with Python, Pandas, PySpark, in Airflow and building ETL workflows
• Ideal candidate has strong experience with AWS, including S3, IAM, and Athena
• Experience with running containerised workloads on Kubernetes
• Worked in an Agile environment with continuous delivery
• Strong SQL skills and experience with relational and non-relational databases
• Knowledge of data modelling, data warehousing, and BI concepts
• Excellent problem-solving and communication skills
• Ability to work effectively in a team-oriented environment and collaborate with cross-functional teams

What we can offer you?

• Competitive salary
• 13th-month salary guarantee
• Performance bonus
• Professional English course for employees
• Premium health insurance
• Extensive annual leave