Data DevOps Engineer *32291, Amsterdam

Voor KPN is Harvey Nash op zoek naar een Data DevOps Engineer

Startdatum: 20-10-2025

Einddatum: 30-06-2026

Locatie: Amsterdam

Aantal uur: 32-36uur per week

Contribute to KPN’s digital transformation.
As being the nr 1 network supplier in the Netherlands, we work with passion on our safe, secure and future-proof networks and services, so anything and everyone remains connected at all times, to create a better and cleaner world.
As THE future proof Data DevOps Engineer you will contribute to make KPN a fully data driven company. The Data & AI Office (DAO) is part of the Technology and Digital Office (TDO) within KPN. DAO is responsible for enabling a digital data driven KPN.

Do you have ambitions in the field of Business Intelligence and working with big telecom data? Would you like to participate in a team that works on making KPN Digital interaction data-driven?
Then you might be the new colleague we are looking for. You will work in a multidisciplinary team on insights that will bring value to improve digital experience.

As an applicant for this role, we expect you to be highly motivated on contributing to these values.

THIS IS WHAT YOU LIKE;

• You are a (big) data freak ;)
• You strive towards 100% automation.
• You strive for the highest quality, effectivity and efficiency.
• Teamwork is your core value.
• We build it, we own it mindset.
• You challenge the status quo; you dare to speak up!
• You are willing to change by learning and exploring new technologies.
• You secure the data policy and rules of compliance in daily work.
• Creating value for stakeholders/business/customers

You are familiar with technical skills such as:

• Kafka/ Streaming Data
• Python
• Azure Infra
• Management of Azure VNets, Key Vaults, and Private Endpoints
• Role-Based Access Control (RBAC), security, and governance implementation
• Infrastructure automation using ARM templates and Bicep
• CI/CD pipeline setup using Azure DevOps for both infrastructure and data workflows
• Cost optimization best practices in Azure (e.g., monitoring resource usage, rightsizing, budget alerts)
• Linux Scripting
• Azure Synapse Analytics
• Working with Spark Pools and developing PySpark notebooks for data transformation
• Using SQL Pools (dedicated/serverless) for querying and data storage
• Integration with Azure Data Lake and ADF pipelines
• Azure Data Factory (ADF)
• Orchestration of data pipelines including parameterization and trigger-based scheduling
• Handling data flows between Synapse, ADLS, and external systems
• Grafana
• Set up monitoring data pipelines
• Azure DevOps & CI/CD
• Setting up and maintaining CI/CD pipelines for data services and infra deployments
• Automating code deployments, infrastructure provisioning, and monitoring integrations
• Source control using Git and DevOps best practices

Nice-to-Have / Future-Required Skills
o Awareness and preparation for Microsoft Fabric migration (planned for next year)
o Data governance and lineage using Microsoft Purview
o Infrastructure automation using Terraform (in addition to ARM/Bicep)
o Basic Power BI knowledge to understand downstream consumption and reporting dependencies

You recognize yourself in the following;
- Having skills to technically lead our streaming solutions and also take along the team
- Experienced in working with Streaming Data (f.e. reading from Kafka topics, handling streaming ingestion pipelines)
- You have extended experience working with MS Azure environment

Soft Skills:
- Analytical
- Attention to detail.
- Open Minded.
- Result oriented.
- Accountability
- Empathy
- Team Player

This is what KPN expects/desires;
- Proactive attitude
- Flexible
- You have excellent communication skills in written and spoken English and Dutch.
- HBO work and thinking level