Data MLOPS Platform Engineer
The Hague - Haagse Poort - Low Rise, Netherlands
NN Group
NN Group is an international financial services company active in 10 countries. NN is committed to sustainable value creation for all stakeholders.The Data & AI department at NN Group IT is currently seeking a motivated Data & MLOPS Platform Engineer to support several data & AI platforms for our NN Group Support Functions (HR, Facility Management, IT, Non-Financial Risk). You will be working in close collaboration with the other Data & AI teams to build effective Data & AI solutions.
What you are going to do
Data Integration and Management: Design, develop, and maintain data pipelines to integrate various data sources into the Data Platforms and GAIA (NN Knowledge platform). Azure Services: Leverage Azure services such as Azure Data Factory, Azure Databricks, to build and optimize data solutions. Data Security and Compliance: Ensure data & platform security, privacy, and compliance with NN standards and regulations. Performance Optimization: Monitor and optimize the performance of data pipelines and storage solutions to ensure efficient data processing.Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Documentation: Create and maintain comprehensive documentation for data processes, architectures, and integrations.
What we offer you
NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:
- Salary between €3,794 to €5,421(based on 40h) depending on your knowledge and experience
- 13th month and holiday allowance paid with your monthly salary
- 27 vacation days for a 5-day working week and one Diversity Day
- A modern pension administered by BeFrank
- Plenty of training and learning opportunities
- Allowances for setting up your home office and internet use
Who you are
- You have a degree in Computer Science and Machine Learning
- You have 5+ years of relevant software, data, and/or platform engineering experience, building systems that are modular, testable, and scalable
- Hands-on experience with one or more cloud services (Azure/AWS) like ADF, Data Lake, Delta Lake, Databricks, Key Vaults, BigQuery, Cloud Dataflow, Datapipeline, etc
- Hands-on Experience with Azure Cloud services like Azure Key Vault, Azure Blob Storage, Azure DevOps, Azure Virtual Machines
- Experience with programming languages such as Java, R, Scala, Kotlin, Bash, JavaScript, C#
- Experience with Machine Learning frameworks like Scikit Learn, Keras, PyTorch, TensorFlow
- Experience in integration of Data Platforms and AI solutions
- Experience in maintaining and properly securing data platform infrastructure
- Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, branching, etc
Optional skills qualifications as a plus:
- Knowledge of Big Data technologies like Spark, Hadoop, Apache Hive
- IT and Facility Management domain knowledge in a Data context
Who you will work with
You will work in a team along other data platform engineers and a product owner having as scope multiple data platforms to support various support functions. You regularly interact and work closely with engineers from the different business teams and the Central Data & AI teams. Collaboration is highly valued here, so we frequently meet at the office and at events. Curious about Data & AI at NN? Listen to our podcast for more information.
Any questions?
Any questions about the job or the process can be directed to Carolina Remzetti, (Senior Talent Acquisition Specialist) via carolina.remzetti@nn-group.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data BigQuery CI/CD Computer Science Databricks Dataflow Data pipelines DevOps Engineering Hadoop Java JavaScript Keras Machine Learning MLOps Pipelines Privacy PyTorch R Scala Scikit-learn Security Spark TensorFlow
Perks/benefits: Career development Team events
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