Team Lead - Data Engineering

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. 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 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.You are intimately familiar with any of the back-end programming languages, such as Python, Scala, or Kotlin, and feel at home working with distributed applications. We are an industry-recognized strong brand with positive recognition from customers in many countries, strong financial position, an omnichannel distribution strategy and an international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance, and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a getting-things done mentality, please read on! Your work environment The Analytics Engineering organization is composed of more than 150 people that has the mission to make banking in ING data driven. We do this by combining UX research and engineering with data science to deliver high value solutions and products for our organization. We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects. We have offices in Amsterdam (primary office), Poland and Romania. 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 bankYou are always thinking one step ahead, for example in advising about the best way of implementationYou are a team player who strikes effective balance between independence and acting in the interest of the team How to Succeed :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 as well as 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 as well as noSQL databases Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD Bash scripting and Linux systems administration Security, authentication and authorisation (LDAP / Kerberos / PAM) Affinity with Advanced Analytics, Data Science You'll get extra points for: Experience with building distributed large scale and secure applications Knowledge of machine learning, or at least strong affinity with it; Experience in building 0-downtime applications/components; 871 EUR based on 36hrs/ week24-27 vacation days depending on contract. Hybrid working to blend home working for focus and office working for collaboration and co-creation. About usWith 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 business.