Purpose of the Job
The Tribe Corporate Customer Data Management (CCDM) is at the forefront of understanding and optimizing the customer data-related journeys for Wholesale Banking (WB). By analyzing customer data, we uncover insights that help us enhance every touchpoint along the customer journey and improve and enrich our customer data along the way. Our team is passionate about customer data and driven to create meaningful improvements that impact every customer journey across Wholesale Banking.
Our tribe’s purpose is to transform WB from a product to a customer centric digital organization, with one core customer view (for organization, hierarchy, agreement references, associated individuals, and mandates) and consequently maximize the possibilities of self-servicing in processes for corporate customers.
The tribe CCDM is a relatively new organization. There will be several challenges to overcome:
- Improve the data quality of corporate customer data
- Security and compliance across customer journeys and IT assets
- Stakeholder alignment to deliver and support the delivery of One Wholesale Bank experience through all WB locations surrounding customer data journeys
- Engaging business stakeholders with best-in-class journeys and undisputed data quality/ownership
- Strategic development upon target technology
Role and Responsibilities
Your responsibilities:
- Contributing to the development of entity matching as a service (EmaaS) pipeline
- Contributing to the model development of advanced analytical models
- Cooperate with stakeholders across different countries within the bank, provide analytical advice and support, whenever required.
- Contributing to our Pyspark data quality framework to improve bankwide used customer data
Your Experience
- Minimum 5 years of total work experience with established and proven data & analytics skills, having been in a Data Engineer or similar role for at least 3 years.
- Experienced Python programmer, very familiar with modules pandas, pyspark, sklearn, numpy.
- Experienced in writing complex SQL statements
- Experienced with Airflow or a similar pipeline orchestration tool
Your Profile
- Ability to identify problems, analyzing key information and making connections, to find appropriate solutions.
- Familiar with statistical inference (e.g., predictive analytics, clustering)
- Proactive, with can-do attitude and positive mindset.
- Ability to clearly express ideas and opinions, present results of the analysis to non-technical stakeholders.
- An automation mindset, with a demonstrated ability to automate repetitive tasks and streamline processes into both automated pipelines and manual process flows.
- A keen interest and forward-thinking vision regarding recent trends in software development and technology, enabling you to anticipate and adapt to industry advancements effectively.
- Explore and scout for data to find new patterns and opportunities to serve our customer, commercial, regulatory and data management use-cases
- Fluent in English speaking and writing.
You'll get extra points for:
- Knowledge of Agile development methodology, including the team backlog, reviews and all related ceremonies (Kanban/SCRUM).
- Base understanding of Machine learning algorithms and techniques such as LLM’s, vectorization, classification.
- Google Cloud Platform experience in large organizations.
- Experience with Polars.
Information about the squad:
We are seeking a highly motivated and experienced Medior/Senior Data Engineer to join team within Corporate Customer Data Management department. In this role you will be supporting the Team to build (either pipeline or manual triggered) models that will improve the data quality and data completeness of ING. You will be working hands-on on data engineering tasks and supporting our data scientist with the model development.
Rewards & 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 here:
The benefits of working with us at ING include:
- A salary tailored to your qualities and experience
- 36 or 40 hour workweek
- Individual leave: 24+2 individual holiday days based on 36 hr workweek
- Diversity leave: 3 days per year (1,5 paid, 1,5 unpaid)
- CSR days: up to 2 days per year to actively engage in society by volunteering
- 13th month salary
- 8% Holiday payment
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary
- Mobility card
- Attractive pension scheme
- Hybrid working to blend home working for focus and office working for collaboration and co-creation
Want to apply directly?
Upload your CV and motivation letter by clicking the “Apply” button.
Please note, multiple interview steps involving various business stakeholders will be part of the selection process.
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 and apply today!