Senior Data Engineer in ESG
CDR (Amsterdam - Cedar)
ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector.
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
You will work as an engineer on our Environmental, Social, and Governance (ESG) project within the ING Analytics Wholesale Bank Tribe. The project aims to give insight into our alignment with the NetZero 2050 climate promise, our exposure to human rights violations and help ING in the transition to a sustainable finance portfolio.
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
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm
The benefits of working with us at ING include:
- A salary tailored to your qualities and experience
- 24-27 vacation days depending on contract
- Pension scheme
- 13th month salary
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary
- 8% Holiday payment
- Hybrid working to blend home working for focus and office working for collaboration and co-creation
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
About us
With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Banking Big Data CI/CD Data pipelines Distributed Systems Docker ELK Engineering Finance Flink GCP Kafka Kubernetes Linux MLOps NoSQL Pipelines Python Security Spark SQL Streaming UX
Perks/benefits: Career development Startup environment
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