Data DevOps Engineer Amsterdam • Harvey Nash

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

Startdatum: 10-11-2025

Einddatum: 30-12-2026

Aantal uur: 32-36uur per week

Locatie: Amsterdam (dinsdag en donderdag op kantoor)

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 Customer 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 customer 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:

• SQL
• Teradata
• Informatica/ Azure Data Factory/ Azure Synapse
• PowerBI
• Python
• Kafka/ Streaming Data
• UNIX/LINUX
• Jenkins
• GIT
• Airflow
• JIRA/Confluence
• Slack

You recognize yourself in the following;

• You have at least 3 years of experience in working with Enterprise Data Warehouse and Data Mart
• At least 2 years of experience in Data Modelling
• Having good working experience in Python or any other programming language.
• Experience in working with Big Data
• You have some experience working with any cloud environment, preferably Azure.
• You love to design and write maintainable code, and can cover it with valuable tests.
• Knowledge of Linux, but familiar with Windows as well.
• You have experience with creation of automation of data pipeline using CICD.
• You understand the value of writing unit tests as part of your coding cycle.

Soft Skills:

• Analytical
• Attention to detail.
• Open Minded.
• Result oriented.
• Accountability
• Empathy
• Team Player