Manager/Chapter Lead- Data Engineering with SAS

We are looking for you, if you:

• possess Excellent Leadership Skills: You have proven your leadership abilities in previous roles, guiding teams to success and fostering an environment of growth and development,
• excel in Stakeholder Management: You are adept at building and maintaining strong, trust-based relationships with both team members and external partners or customers,
• have a Strong Background in DevOps: You have hands-on experience leading DevOps teams, demonstrating your ability to manage both the technical and personnel aspects of the team,
• have solid tech background: experience in data engineering (primarily with SAS, Python is optional),
• have sound knowledge of the related tech stack and various ETL tooling (SAS DI),
• knowledge of software development process and tools (CI/CD, Everything as Code),
• knowledge of Oracle or other relational DB’s,
• adapt Quickly to Change: You thrive in dynamic environments, demonstrating flexibility and a positive, can-do attitude in the face of challenges,
• have Excellent Communication Skills: You can communicate clearly and effectively in English (B2/C1), ensuring that your team and stakeholders are always in the loop,
• are Passionate About Working with People and Developing Talents: You find joy in mentoring others, helping them to reach their full potential while focusing on the quality and innovation of the products your team creates.

You'll get extra points for:

• experience with statistical programming (Python is preferred),
• knowledge of dbt, Spark.

Your responsibilities:

• Manage teams focused on data delivery, primarily with the use of SAS. Ensure your team excels in data engineering, automating and optimizing the data delivery process.
• Champion Craftsmanship and Innovation: Stay at the forefront of technology and industry trends to guide your team in mastering their craft. Foster a culture of continuous learning and improvement, ensuring that the team's skills and methodologies are cutting-edge.
• Vision and Skillset Development: Play a key role in shaping the future of our products by understanding and anticipating the skillsets required. Ensure your team evolves in alignment with our vision, staying ahead of technological advancements.
• Team Growth and Development: Be responsible for expanding the team through thoughtful planning, recruiting, and onboarding of new members. Develop personalized learning and development paths to nurture talent and support career growth.
• Ensure Quality and Excellence: Set high standards for your team and ensure these are met through coaching, assessments, and regular feedback. Your leadership will ensure the delivery of exceptional quality in all projects and services.
• Collaborate Globally: Work closely with various teams across ING. This role requires strong collaboration skills to align efforts, share best practices, and contribute to the global success of our initiatives.
• As part of our team, you'll have the opportunity to lead by example, inspire excellence, and make a tangible impact on our products and services. We're looking for a leader who is not only adept at the technical nuances of DevOps but also skilled in mentoring and developing a high-performing team.

Information about the squad:

The Data Engineering Chapter is responsible for the delivery of data, which later is used by multiple parties (model development, monitoring, validation. You will be a part of a larger Risk Data Tribe, where we are responsible for all of the data aspects in the Risk Management domain.

The role naming convention in the global ING job architecture will be "Chapter Lead Engineer II”