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Engineering Manager Data Management - NN

Location: Den Haag
Employment: Full-time

As an Engineering Manager of Data Management at Nationale Nederlanden (NN), you will help shape the digital transformation of one of the Netherlands’ largest insurance companies. Our vision is to be an industry leader, with a strong focus on automation, creating digital products and services that our customers love. With world-class data capabilities, incorporating an AI platform, so that we can continue to help our customers care for what matters most to them. Utilising usage data, for instance, to offer customers discounted insurance based on their behaviour. During our transition into a fintech company, you will coach your colleagues to embrace our new tech-led culture and enable their learning and development. It’s an exciting time to join us and be a part of the change.

We can offer you a monthly salary between €5.330 and €7.615 depending on your experience, based on a 36-hour workweek, excluding a 13th month and holiday allowance.

What you’re going to do

As a born leader, making people feel empowered while steering them through major company changes comes naturally to you. Together with a team of professionals ranging from engineers, business analysts and solution designers, you will encourage robust product engineering practices. As our Engineering Manager of Data Management, you will help our engineers bring out the best in themselves. You will act as an enabler for our digital transformation by focusing on the professional development of our engineers so that they can deploy their true talent instead of being bogged down by operational product issues. Your responsibilities will also include:

  • Using your technical experience in Azure (Microsoft) Purview, Databricks (Unity Catalog), Power BI Premium, Power BI Gateway, Collibra and Data Quality solutions to develop our engineers’ knowledge
  • Managing NN’s People Cycle process and using HR processes and tools to manage staffing, including selection, hiring, onboarding and retention
  • Establishing objectives and quarterly key results on learning and development together with the department leadership team
  • Creating strategic workforce planning in line with the product strategy and empowering teams by removing department-level impediments
  • Helping our engineers to develop their knowledge in the areas of security, compliance and Cloud (Azure/AWS) infrastructure and management

Who you will work with

You will join a small engineering team consisting of professionals with a variety of backgrounds and cultures. At NN the sky’s the limit and you’ll be given plenty of room to try new things and stretch your creative wings. We embrace diversity as an instrument to produce an even richer experience for both colleagues and customers. It’s a friendly team and there are regular quiz nights and after-work drinks.

What we offer you

With many roles in life, we know that you are so much more than a colleague. Therefore, we allow you to select employee benefits that are important to you. The ability to buy additional leave days, for instance. And the flexibility to adjust your working pattern to suit your personal needs. NN also offers allowances for setting up your home office and for internet use. In addition, you will receive:

  • A collective pension scheme with a personal contribution of only 6%
  • 194.4 hours of leave, based on a 36-hour week (that’s 27 vacation days for a 5-day working week) and one Diversity Day
  • A holiday allowance and a 13th month, paid with your monthly salary
  • An NS Business Card and/or compensation for commuting costs

While you’ll officially be based in The Hague, we work hybrid at NN. We combine working from home and working in the office and our teams meet online or in person. You and your team will agree on what suits you best. We have set up our offices in such a way that there is a suitable place for every type of work.

Who you are

You are a positive person with an unending enthusiasm to inspire others. With a knack for understanding people’s perspectives and ambitions, your talent is helping others to learn and grow. Open to ideas, you have an entrepreneurial mindset. You are looking for a challenge and want to make your mark by helping us build our data and AI service. Strong communication skills in English are a must as you’ll be required to mentor and coach our international team of engineers while encouraging cooperation within the team and managing senior stakeholders. You will also have to provide feedback about the effectiveness of your team and do presentations. Furthermore, you have:

  • At least 10 years of relevant work experience as an engineer
  • At least 3 years of experience leading and managing a team of engineers

  • You know the latest technologies in the data management domain and are familiar with data management concepts such as data modelling, data governance, data security, data quality, metadata management, data integration and data analytics (BI)

Will you be our new colleague?

If you think that you’d be a good fit for our team, we’d love to hear from you. We’re keen to find out who you are, what motivates you and what you can contribute to this role.

Any questions?

If you have any questions about the job, you can reach out to Carolina Remzetti, Recruiter, via email at Carolina.Remzetti@nn-group.com or via WhatsApp on 06 57 22 97 35

This is a permanent position. The chosen candidate will receive a contract from NN. We are not open to interim/freelance assignments and/or recruitment agencies. Thank you very much for your understanding.

Location:

Den Haag

Information and application:

Apply:

Please send your application for Engineering Manager Data Management at NN in Den Haag including your CV via our website.

Job code:

REQ2688875

Job posted

29 augustus 2023
Apply Now

More information:

If you have any questions about the job, you can reach out to Carolina Remzetti, Recruiter, via email at Carolina.Remzetti@nn-group.com or via WhatsApp on 06 57 22 97 35

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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