Chapter Lead Data Engineering

Details

ING is now building its Analytics capabilities in Cloud! It is to help ING to be even more data driven. This is a joined effort between ING units, and you are going to be part of a distributed multi-national and multi-cultural team. There is plenty of work and fun down this road.

As a Chapter Lead Data Engineer, you will help develop the data-driven products that the Analytics Engineering (AE) organization builds. Within the AE organization, we use agile, lean and design thinking methodologies to launch new initiatives within or outside of ING.

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you are proactive in keeping yourself up to date and trying everything out. You also enjoy laying the architectural foundations for the things AE is working on while aligning the business problem with the right technology. You combine both thinking of the future and a hands-on, right-now attitude. You can identify on which fronts a team can grow and will help them get there. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.

Next to the hands-on project-related work, the rest of 60% of your time you will be responsible for an awesome group of Data Engineers from different technological backgrounds in your chapter from coaching and professional development to hiring and staffing. Furthermore, you will promote data engineering excellence within the organization. Your passion is to work with the latest and greatest technologies that make working with substantial amounts of data easy, you are proactive in keeping yourself up to date and are always searching for new ways to discover modern technologies.

Responsibilities

• You have a proven track-record of developing, coaching and mentoring people from different technological backgrounds.
• You have experience and love leading teams to drive results and interact with (senior level) stakeholders.
• You can explain complicated subjects clearly.
• You are friendly and approachable and can challenge engineers.
• You are motivated to keep up to date with the latest developments and to introduce them to the team and projects where applicable.
• You can see where ING can create steps towards becoming a truly data-driven bank.
• You are always thinking one step ahead, for example in advising about the best way of implementation.
• You are a team player who strikes effective balance between independence and acting in the interest of the team.

Requirements

• Knowledge of data manipulation and transformation, e.g. SQL.
• Hands-on experience building complex data pipelines e.g. ETL.
• Hands-on experience managing and further developing distributed systems and clusters for both batch and streaming data (S3/Spark and/or Kafka/Flink).
• Programming in scripting languages, e.g. Python.
• Programming in a statically typed language, e.g. Java/Scala, Kotlin, Golang.
• Experience in setting up both SQL and noSQL databases.
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD.
• Bash scripting and Linux systems administration.
• Security, authentication and authorization (LDAP / Kerberos / PAM).
• Affinity with Advanced Analytics, Data Science.

You'll get extra points for:

• Being a committer to Open-Source projects is a strong plus.
• Experience with building distributed large scale and secure applications.
• Knowledge of machine learning, or at least strong affinity with it.
• Good understanding of databases including RDBMS, non-SQL and time-series databases.
• Experience in building 0-downtime applications/components.
• Experience with working in an agile/scrum way, but at least you should have a strong willingness to do so.

Benefits

We want to ensure you can strike the right balance between your career and your private life. You can find out more about our employment conditions at https://careers.ing.com/en/benefits-NL.

The benefits of working with us at ING include:

• 24-27 vacation days depending on contract.
• Pension scheme.
• 13th month salary.
• Individual Savings Contribution (BIS), 3.5% of your gross annual salary.
• 8% Holiday payment.
• Hybrid working to blend home working for focus and office working for collaboration and co-creation.
• Personal growth and challenging work with endless possibilities.
• An informal working environment with innovative colleagues.