Level

ING

Data Engineer

AI in this role

Build the data products that power smarter banking

Data plays a critical role in shaping the future of banking. At ING, we're looking for a Data Engineer who enjoys solving complex challenges, building scalable data solutions, and collaborating with teams across the globe.

If you're passionate about designing modern data platforms, working with cutting-edge technologies, and helping transform data into business value, this could be the opportunity you're looking for.

Role Summary

As a Data Engineer within our Data Management Tribe, you will design, build, and maintain secure, scalable, and high-performing data solutions that support business-critical data products across ING. You'll work across the full data lifecycle, from ingestion and transformation to storage, modeling, and consumption.

Working closely with Product Owners, Data Analysts, Software Engineers, and technical leads, you'll help deliver reliable and efficient data capabilities that enable better decision-making across the organization.

This is a permanent mid-to-senior level opportunity for professionals who enjoy working in an international environment and are motivated by technical excellence, innovation, and continuous improvement.

About the Team

The Data Management Tribe enables trusted, accessible, and scalable data solutions across ING's banking and financial services landscape. You'll join a collaborative team of engineers and data professionals who are passionate about creating impactful data products and advancing data capabilities.

Our teams work closely with global stakeholders across multiple countries, providing opportunities to collaborate internationally, share knowledge, and contribute to large-scale initiatives that drive meaningful business outcomes.

You'll also benefit from an engineering culture that promotes innovation, learning, knowledge-sharing, and professional growth.

Required Skills

We're looking for candidates who bring experience in:

  • Python development and data engineering practices

  • SQL, relational databases, and NoSQL databases

  • Data warehousing, data modeling, and data architecture

  • Building and maintaining ETL/ELT processes and data pipelines

  • Data ingestion, transformation, storage, and processing solutions

  • Software quality practices and data pipeline testing

  • CI/CD, DevOps practices, automation, and scripting

  • Working with distributed and cross-functional teams

It would be advantageous if you have experience with:

  • Cloud platforms such as Azure, AWS, or GCP

  • Streaming technologies including Kafka or Flink

  • Spark and large-scale data processing environments

  • Docker and Kubernetes

  • Microsoft SQL Server or Oracle databases

We're particularly interested in individuals with strong problem-solving capabilities, a solution-oriented mindset, and a passion for building high-quality data products.

What We Offer

At ING, you'll have the opportunity to:

  • Work on impactful data products within a global banking organization

  • Collaborate with international teams and stakeholders across multiple markets

  • Build solutions using modern data technologies and engineering practices

  • Contribute to innovation initiatives that help shape the future of data within ING

  • Learn from experienced engineers through knowledge-sharing communities and technical collaboration

  • Grow your career through development opportunities, certifications, and continuous learning

  • Join an inclusive, supportive environment that values diverse perspectives and professional growth

Equal Employment Opportunity

Worried about the wage gap? So are we. Our commitment to pay equity means you'll be valued for your skills, not your gender.

Job Application Safety Reminder ⚠️

We're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:

  • Apply only via official ING platforms: ING uses Workday as its internal recruitment system. Applications should be submitted only via our official career site.

  • Check the sender's email carefully: legitimate communication will always come from @ing.com and/or @myworkday.com

  • No payments or banking details will ever be requested. If someone asks for this information, it's a scam.

ING empowers people and businesses to stay a step ahead in life and in business. Join us and help build the data foundations that enable better banking experiences for millions of customers worldwide.

How we score this

Data Engineer at ING scores 23 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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