NN Digital Hub
NN Digital Hub is a subsidiary company of Nationale Nederlanden Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units from Nationale Nederlanden Group.
Our objective is to create, deliver and maintain insurance product management solutions, as service propositions to enable any agent (linked or direct), machine or company to create and sell insurance products in Europe in an automated way and real time.
We are looking for a Data Platform Engineer to grow our team of data experts.
Your impact as a Data Platform Engineer:
As part of NNDAP will enable NN to be a data driven company by helping the business units to deliver high-quality software components, used at the BU’s to compile data systems which make Nationale Nederland the best data-driven financial services company. You get the opportunity to take part in designing and implementing code that will be re-used by over 110 data engineers in 10 teams and 15 countries.
What you are going to do:
- You will refine, build, test, deploy and automate the core functional data components as part of the NNDAP/Datalab product and offer that as a standard on a common code base serving all internal customers.
- Understand the needs of your various customers from different business units and translate them to modular solutions which are usable by the vast majority.
- You brainstorm and design solutions to optimize our data platform solution architecture along with other team members to reach to the best technical solution together. Contribute to the product vision, team learning skills by mentoring and lead technical discussions.
- Share knowledge in our data engineering community, pair program and collaborate on code together with other data engineers within NN and lead/guide or participate the innersource community of NNDAP.
- Enable business teams to run successful data and AI projects and be a tech savvy or mentor other junior engineers.
The team you’ll join:
You will work with a diverse and an international team, our culture is inherited from NN Core values Care, Clear and Commit. Our way of working is agile with 2 weeks sprints, we focus on our customer needs with T-shape of both data & infra cloud platform engineers working together as one team. With full autonomy the team decides the technical how and deliver value with quality first mindset. We work hard and play hard so if you are looking to bring fun to our team, you will be always welcomed.
Technologies you will work with:
-Our infrastructure runs on MS Azure cloud and we use IaC. -We use Azure Data Factory (ADF) for pipelines and orchestration and Databricks for processing and transforming data. Python (incl. PySpark), SQL, CI/CD, packaging, testing, and IaC (Bicep, Pulumi a plus)
Who you are:
- You have 5-7+ years of relevant software, data and/or platform engineering experience, building platforms which are modular, testable, scalable and easily consumable.
- Data/platform engineering with significant Azure experience (ADLS/Delta Lake, Databricks, ADF) and proven delivery of multi-tenant or productized data platforms.
- Strong software engineering fundamentals: Python (incl. PySpark), SQL, CI/CD, packaging, testing, and IaC (Bicep, Pulumi a plus).
- Practical mastery of lakehouse & medallion design, data quality, lineage/metadata, and cost/performance optimisation on cloud.
- Security & governance awareness (e.g., Unity Catalog, role/attribute-based access, secrets, policies) in regulated environments.
Nice‑to‑haves:
•Exposure to monitoring/observability and LCM at platform level. •Familiarity with Eventdriven patterns/streaming and LakeFlow evolution alongside ADF. •Experience preparing platforms for APIdriven data product exposure and higher availability patterns. •Participation in communities such as the Data Engineering Guild.
If you are a passionate and experienced Data Platform Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. We are waiting for you!
What do we offer?
As part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers. Among the benefits are:
- We work with a hybrid model
- Starting financial aid so you can equip your workspace at home
- Allowance and telework subventions
- Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
- We hire a life insurance and a pension plan for all our employees
- We establish objectives bonus as a performance reward
- You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
- Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…
- We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
- We care about your wellbeing. We have a Wellness Program available.
- We are digital and we love technology. Also, every team works under agile methodology.
Who you are:
- You have 5-7+ years of relevant software, data and/or platform engineering experience, building platforms which are modular, testable, scalable and easily consumable.
- Data/platform engineering with significant Azure experience (ADLS/Delta Lake, Databricks, ADF) and proven delivery of multi-tenant or productized data platforms.
- Strong software engineering fundamentals: Python (incl. PySpark), SQL, CI/CD, packaging, testing, and IaC (Bicep, Pulumi a plus).
- Practical mastery of lakehouse & medallion design, data quality, lineage/metadata, and cost/performance optimisation on cloud.
- Security & governance awareness (e.g., Unity Catalog, role/attribute-based access, secrets, policies) in regulated environments.
Nice‑to‑haves:
•Exposure to monitoring/observability and LCM at platform level. •Familiarity with Eventdriven patterns/streaming and LakeFlow evolution alongside ADF. •Experience preparing platforms for APIdriven data product exposure and higher availability patterns. •Participation in communities such as the Data Engineering Guild.
