Lead Engagement Engineer - Analytics Platform Area

Lead User Engagement and Support Engineer - Analytics Platform Area
Are you ready to drive innovation in the banking sector? At Rabobank, we're not just building an analytical platform-we're shaping the future of analytics.
Our cutting-edge Model Development Platform, One!Lab, is at the core of Rabobank's analytics strategy.
It empowers our teams to safely develop state-of-the-art machine learning models, fostering collaboration, knowledge-sharing, and reuse while lowering costs and accelerating the time-to-market for new models.
By leveraging the latest technologies, One!Lab significantly enhances Rabobank's AI capabilities, delivering immense value to our users.
It's not just a platform-it's a collaborative ecosystem.
And that's where you come in.
About the Role
Rabobank is seeking a highly skilled and customer-focused Lead User Engagement and Support Engineer with a proactive mindset and strategic planning abilities to join our support engineering team, Moon.
Your mission? To transform our support model from a reactive, ad-hoc approach to a proactive, solutions-driven strategy that maximizes user engagement and impact.
In this role, you'll be at the forefront of enabling our users-data scientists, machine learning engineers, and analytics teams-to make the most of the Analytics Platform.
With your expertise, you'll identify improvement opportunities, streamline support processes, and reduce costs while driving innovation and enhancing functionality for both users and platform engineering teams.
This is your chance to build a way to directly influence the success of cutting-edge AI projects that shape the future of banking, working in a space where technical expertise meets entrepreneurial problem-solving.
What You'll Do
Shape the Future:
Transition our support team to a proactive, solutions-oriented model that enhances user engagement with the platform.
Drive Innovation:
Identify improvement opportunities for both user support processes and the Analytics Platform itself, leveraging insights from user interactions.
Collaborate and Improve:
Work with the Product Managers of the Analytics Platform engineering teams to understand user needs and translate these to feature and PBI's.
Identify areas for process improvement and implement strategies to enhance the quality, performance, and effectiveness of engineering initiatives.
Lead Technical Transformation:
Spearhead the transition of our support engineering model by implementing technical strategies that improve system reliability, scalability, and user engagement.
Coach Teammates:
Coach and mentor junior colleagues in the team.
Help the team to grow by providing frequent feedback and direction.
Monitor and Improve Performance:
Regularly assess technical performance, analyze user behavior and costs, and implement advanced solutions to continually enhance platform usability.
Empower Users:
Guide team members and users in leveraging analytics tools and techniques to overcome challenges and maximize platform benefits.
Listen and Act:
Conduct regular assessments of user feedback to drive continuous optimization of the platform and user experience.
What You'll Bring
A degree in Computer Science, Data Science, Engineering, or a related field (Bachelor's or Master's).
At least 5 years of experience in consultancy, with a commercial mindset that focuses on improvements and user impact.
Proven experience as a Machine Learning Engineer or similar role, with a deep understanding of ML frameworks and analytics.
Hands-on technical expertise with tools like Databricks, Python, Azure Machine Learning, and Terraform.
Good knowledge of the cloud (preferably Microsoft Azure) and familiarity with cloud cost models, service models, the various cloud resources, and contracts.
Exceptional communication skills, with the ability to bridge the gap between technical concepts and non-technical stakeholders.
A data-driven, analytical approach with a passion for process improvement.
Demonstrated technical leadership experience in customer engagement, solution architecture, cloud infrastructure, and application development.
A team player with a proactive, entrepreneurial mindset with the ability to deliver results on time and with precision.
Why Join Us? This is more than just a role-it's an opportunity to make a real difference.
By joining Rabobank, you'll contribute to projects that push the boundaries of AI and machine learning while directly impacting the way our teams work and innovate.
You'll collaborate with passionate experts and play a vital role in shaping the future of data and analytics at Rabobank.
Ready to be part of something extraordinary? Apply now and help us redefine what's possible in banking analytics!
To be considered for this position, you must be located in the Netherlands or elsewhere in the EU and have the legal right to work in the Netherlands.
We are unable to consider candidates requiring relocation from another country.
We will hold the interviews through a video call.
A test can be part of the interview process.
You can find answers to the most frequently asked questions on rabobank.jobs/nl/veelgestelde-vragen.
A security check is part of the process.
We respect your privacy.
Apply for this job I approve Rabobank to retain my details for future applications, according to the Privacy Statement.
Please choose your gender below.
This is not required.
This information helps us to ensure that there are no gender biases in our recruitment process.
•