Data Engineer Bank Fraud
ING Hubs Poland
For over 20 years we have been taking up challenges and proving that we are a trustworthy partner supporting ING in digital transformation. We are the unseen heroes providing the people of the bank with the essential — and often unnoticed — services. We also protect their money and simply create the future of banking. And that's a big thing! See what exactly we do at ING Hubs Poland!
Tech stack
Ddata pipelines
Apache Spark
Apache Airflow
Python
SQL
Automation Tools
Job description
We are looking for you, if you:
- have hands-on experience building complex data pipelines,
- have strong experience in data processing and optimization using Apache Spark,
- have good knowledge of data manipulation and transformation,
- have experience with Apache Airflow, Python, SQL,
- have knowledge of software engineering best practices,
- have deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD),
- have excellent communication skills, writing and verbal in English,
- want to learn more and proactively acquire knowledge.
You'll get extra points for:
- hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink),
- hands-on experience in training and evaluating ML models,
- proven experience with Data Science tools and practices,
- experience in setting up noSQL databases,
- experience with Golang,
- experience with monitoring and observability (ELK stack),
- bash scripting and Linux systems,
- experience with buildpacks,
- Security, authentication, and authorisation (LDAP / Kerberos / PAM),
- experience working in cloud environment (e.g., GCP).
Your responsibilities:
- creation, schedule and optimization of the data processing pipelines using Apache Spark and Apache Airflow deployed on our data analytics platform,
- improve data flow, establish new data sources and deployment,
- troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability,
- continuously optimize our systems for performance and cost-effectiveness.
Information about the squad:
You will work as an engineer in our ING Bank Netherlands Fraud domain. Here we employ state-of-the-art machine learning models and processing algorithms to identify potential fraud activities within our payment chain.
Working at ING means working in a dynamic and international setting. Individual development of our employees is particularly important and that is why ING offers excellent courses and programs.
The role naming convention in the global ING job architecture will be “Engineer IV”.
Check similar offers
