Senior Data Engineer Transaction Service

INGs goal is to enable people to do their thing and empower them to stay a step ahead in life and in 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.

ING Analytics

ING Analytics is a major driving force in INGs 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 are dedicated to bringing out the best in both each other and our projects.

Job Description

You will work as an engineer on our Transaction Service (TS) Analytics squad within the ING Wholesale Banking Advanced Analytics Global Tribe. The project empowers our stakeholders in Wholesale Bank TS business unit to translate scattered data into easy-to-use actionable insights with the aim to improve business performances and make better decisions. You will be part of the squad consisting of the data analysts engineers and project manager.

What will you do

Your passion is to work with the latest and greatest technologies in the field of Data Engineering. As an engineer you will be responsible to design and build the data pipelines to process the transactions data collaborate with the data analysts data scientists and UX designers to create the best user experience and insights for our stakeholders. The product is new in ING and it is one of the most strategic topics at this stage in ING. Data accuracy is key to sustain our credibility.

Do you recognize yourself in this profile

Must have:

• Hands-on experience building complex data pipelines

• Knowledge of data manipulation and transformation

• Experience with Apache Airflow Spark Python DBT

• 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 and/or Kafka/Flink)

• Experience in setting up and optimizing both SQL as well as noSQL databases

• Experience with monitoring and observability (ELK stack)

• Experience working in cloud environment (e.g. Azure DevOps GCP)

• System design and architecture

• Knowledge of MLOps architecture and practices

• Agile way of working

• Experience in stakeholders management

• Comfortable working in the international environment

Rewards and benefits
We want to make sure that its possible for you to strike the right balance between your career and your private life. benefits of working with us at ING include:

• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• 8% Holiday payment
• Hybrid working
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.