Senior Data Engineer in ESG
The Team
ING Analytics is a major driving force in ING’s transformation, aimed at helping us to become a data-driven digital leader and creating tangible value for ING and its customers through world-class analytics models, products, and services.
The Analytics Engineering team is a team of 50+ engineers (and growing rapidly) that has the mission to enable this transformation. We do this by combining Big Data technology with Data Science to deliver high-value solutions and products for our organization. We work in a fun and creative environment, and we’re dedicated to bringing out the best in both each other and our projects.
Roles and Responsibilities
Your passion is to work with the latest and greatest technologies in the field of Data Engineering. You will work as an engineer and will design and build the data pipelines that support the ESG initiative and collaborate with data analysts, data scientists and UX designers to create the best user experience for our customers. The product is new in ING, you will be working in a more “start-up” mindset, and it is one of the most strategic topics at this stage in ING. Data accuracy is key to sustain our credibility.
How to succeed
Must have:
- Hands-on experience building complex data pipelines
- Knowledge of data manipulation and transformation
- Experience with Apache Airflow, Spark, Python
- Knowledge of software engineering best practices
- Deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD)
Nice to have:
- 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)
- Experience in setting up both SQL as well as noSQL databases
- Experience with monitoring and observability (ELK stack)
- Bash scripting and Linux systems
- Security, authentication and authorisation (LDAP / Kerberos / PAM)
- Experience working in cloud environment (e.g. GCP)
- System design and architecture
- Knowledge of MLOps architecture and practices
- Affinity with ESG domain and data sources
