Chapter Lead - Data Integration and exchange

Original posting date 22/9/26

As IT Chapter Lead you are directly responsible for initially 10-12 data engineers who specialize in how ING’s reporting challenges is translated into the Finance & Risk integrated data architecture (FRIDA) with data ingestion, datamodels, engines and data engineering.

Your working environment will be in the space of data engineering and embedded engines and the further build-out of ING’s Finance and Risk integrated Data Architecture. The solution is based on cloud-native principles and open-source components.

You can act as equal counterpart for ING’s Domain Architects to find the best solutions under constraints.

The team
The people in your chapter are equally ambitious as you, and you like to transfer your expertise to them and feel satisfaction from coaching (both professionally as personally) your colleagues. You are ambitious with what you and your chapter want to achieve. You stimulate your chapter members towards continuous improvement of their skills. You speak up and challenge the status quo. Next to this you are also part of the leadership team of the Area, which means you co-create the area vision and effectively resource the tribe and squads.

Roles and responsibilities
The IT Chapter Lead:

• Manages engineers leads hierarchically including recruitment
• Acts as a technical leader and trusted advisor in cloud-native data platforms, data warehousing, lakehouse architectures, and large-scale data engineering.
• Drives the onboarding and integration of multiple source systems into Finance and risk integrated architecture, ensuring consistent data contracts, data quality, lineage, governance, and operational excellence.
• Balances Run and Change, especially with a keen eye on IT Risk
• Oversees the end-to-end data onboarding lifecycle, from source assessment and ingestion design through implementation, testing, deployment, and operational support.
• Promotes reuse of common ingestion patterns, canonical data models, and engineering frameworks to accelerate onboarding of new data domains and source systems.
• Makes his teams and others that depend on him successful
• Sets the example for life-long learning
• Encourages his chapter to invest in innovation
• Values engineering craftsmanship
• Is able to reason from business needs (requirements) deeply into actual software solutions

How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

Who we are looking for?

We are looking for someone with at least 10 years experience as a data engineer. Combines strong people leadership with deep technical expertise in cloud-native data platforms, data warehousing, lakehouse architecture, and large-scale data engineering, enabling the chapter to deliver strategic Finance and Risk data capabilities at enterprise scale. You are familiar with the problem space where different applications model the same part of the world but with different solutions, leading to the integration design question. You have a proven track record in managing application software at scale.  We value experience in the financial industry, especially experience with Accounting, Regulatory Reporting and Financial Risk functions.

You have at least some experience with coaching other engineers on their craftsmanship.

Personal profile:

You align your architecture vision with the long term IT vision and the business strategy. You like complex analysis and you can identify and use the different forces that exist in the organisation. You are a team player and able to motivate others. You have good communication and consultancy skills and you are persuasive.

In terms of engineering expertise the content of the following books is familiar to you, or you are willing to become a specialist this field.

Usage Driven Database Design – George Tillman (2017)

Enterprise Model Patterns – David C. Hay (2011)

Designing Data-Intensive applications – Martin Kleppmann (2017)

Data Management at Scale – Piethein Strengholt (2020)

Data Mesh – Zhamak Dehghani (2022)

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. Find out more about our employment conditions.

The 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?

Discover what we do and what we can offer you.

Questions?
Please visit our Frequently Asked Questions section to find some answers on questions you might have.

Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.