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Chapter Lead Risk, Data Modelling Data Engineering Databricks - ABN AMRO Bank

Location: Amsterdam
Employment: Full-time
Are you a technical expert and enthusiastic person who inspires others to create innovative solutions? Then we need your help in making ABN AMRO a personal bank in a digital age!  

We are looking for a

Chapter Lead Risk, Data Modelling Data Engineering Databricks

At a glace

One of our strategic goals is to become a data-driven organization so we can get to know our clients even more and serve them in a better way. As a chapter lead, you contribute to these goals by focussing on craftmanship within your department. You stay up-to-date on the latest developments and you mentor your team members in becoming technical experts. How are you going to shape craftmanship and innovation within your department?  

Our employees get the freedom to grow and experiment. You support and guide them so that they can grow their technical expertise that contribute to a future-proof bank. When and where you and your team do your work, that is up to you! We work hybrid, which means you can flexibly decide where and when you can work most comfortable and effectively.  

As chapter lead, you will work at the department Risk Data & Modelling. You and your chapter members are responsible for the Risk Analytics Platform and the CoDaC Platform, two Azure platforms used for credit risk data modelling purposes and non-financial risk analysis and reporting. 

Your job

As chapter lead, you will combine working as an IT engineer with your role as chapter lead. About 60% of the time you will work in your own scrum team but also closely with data engineers and data scientists in other teams on designing and developing future-proof IT solutions of the highest quality.  

The rest of the time you will manage your chapter. This includes: 

  • Educating yourself and others with the right technical capabilities and the latest innovations.  
  • Mentoring your Chapter members on technical craftsmanship.  
  • Actively participating in knowledge gaining and sharing by joining triangles, circles, communities and events. Furthermore, focus on?proper knowledge?dissemination?across?the?teams, pushing the?limits of our?technology and focussing on?holistic solutions.?  
  • Proper?alignment with stakeholders. For example, informing leadership on the alignment you have with the?Solution Engineer on the?technological landscape and lifecycle.?Furthermore you ensure a current?stack and room for innovation on the backlog by discussing this with the Product Owners.  
  • Working in a DevOps environment and advocating the Agile and CICD processes.  
  • On a strategical level you mentor your team, evaluate technical assessments, do interviews and ensure that new employees are properly onboarded.  
  • Take care of the HR processes to facilitate all aspects relating to the influx, development, performance and outflux of employees.  
  • Create and foster a healthy working environment and an inclusive culture for your Chapter.  

Working environment

The Risk Data & Modelling department is a young department within Risk. We are an ambitious and very international group of people. We have embraced an agile way of working where we strive towards a flat organisation with self-organising teams which have the autonomy to make quick decisions. The atmosphere within the team and the department is open and informal. You will work in a diverse team with many different nationalities, and a good gender diversity and junior-senior ratio. We work hard, but there is certainly room for fun! 

As chapter lead, you will work in a fast paced and accessible environment. We love to share knowledge and to challenge each other, for example by sharing our expertise in our blog, during the events of our developer community and by organising hackathons.  

Your Profile

You feel at home in a technical environment and are always up to date on the latest technologies. At the same time, you are people-minded and an inspirator. You get enthusiastic from creative and innovative solutions and you inspire others to get started with these new opportunities.  

Do you think you‘re a fit? Check your profile: 

  • Expert in data engineering 
  • You are experienced with cloud solutions and you have several years’ experience from an Azure environment 
  • You have hands-on experience with building data solutions with Azure native data tooling (i.e. Data Factory, Data Bricks) and other data related technologies (i.e. Spark)  
  • You have a deep understanding of data processes, data modelling, data pipelines (ETL), and data lifecycle 
  • You have a good understanding of Big Data systems as well as BI 
  • Technology-wise, you have experience in Python, ADLS, ADF, Databricks, and PowerBI, and CI/CD. 
  • You have experience with coaching and mentoring your less experienced team members in their design and development activities  
  • You have knowledge of and are interested in the latest IT-trends, both within and outside your area of expertise (cloud, API, Open Banking, DevOps, CI/CD, SOA, etc.) 
  • You have preferably worked in the financial sector 
  • Fluent in English 

We are offering

You are given every opportunity and independence to demonstrate your professional expertise in a no-nonsense environment and to further develop yourself. We attach great value to personal development and thereby offer you many training and development opportunities. In addition: 

  • A Hay 10-11 salary. 
  • The freedom to optimize your performance in a flexible working environment. 
  • Possibilities for flexible working hours and good facilities for remote working.  
  • A supplementary benefit budget of 11% with which you can buy flexible benefits (including vacation days, mobile phone, (electric) bicycle and additional salary). 
  • 25 vacation days. 
  • Apart from the departmental training budget for the department you will receive a personal development budget of € 1.000 per year which can be save up to a maximum of € 3.000. 
  • An annual public transport pass. 
  • A generous pension scheme. 
  • Banking for better days. These are days you can use for your personal development or on which you can contribute to society. 


Are you interested? Then respond to this vacancy. For more information, you can reach Jeffrey van Riel, IT Engineer Lead RD&M at recruitment_team_it@nl.abnamro.com 

We would like to get to know you! 

Equal opportunities for all     

Diversity and inclusion is on top of our mind at ABN AMRO. Among policy makers, but also in the rest of the organisation. A dedicated team coordinates all initiatives, including conferences with interesting lecturers and workshops, women’s banking days, cultural diversity diners, LGBTQ+ events and finding a fitting job for people with an occupational disability. The focus is on talent, not on restriction. For years ABN AMRO has been partner of Workplace Pride. 

Disclaimer external recruitment agencies 

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. In addition, a recruitment agency can only submit a resume when invited by a Talent Acquisition Specialist to join the search for a right candidate. All unsolicited resumes sent to us will be considered property of ABN AMRO BANK N.V. In this case, ABN AMRO will not be held liable to pay a placement fee. 



Information and application:


Please send your application for Chapter Lead Risk, Data Modelling Data Engineering Databricks at ABN AMRO Bank in Amsterdam including your CV via our website.

Job posted

01 november 2021
Apply Now

More information:

Are you interested? Then respond to this vacancy. For more information, you can reach Jeffrey van Riel, IT Engineer Lead RD&M at recruitment_team_it@nl.abnamro.com 

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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