Big Data Engineer, Utrecht

Voor VodafoneZiggo is Harvey Nash op zoek naar een Big Data Engineer

Startdatum: Z.S.M.
Einddatum: 11-09-2025
Locatie: Utrecht, hybride
Aantal uren per week: 32-40 uur
Zowel Nederlands als Engelstalige kandidaten mogelijk

Rechtstreeks met CV reageren op deze aanvraag is mogelijk via: Raya.al-jazairy@harveynash.com
Motivatie vereist
Reageren kan tot: 18-03 voor 12:00 uur

Graag hierbij het volgende toevoegen:

• Eerst mogelijke startdatum
• Beschikbaarheid in uren per week
• Tarief all-in (incl. reis- en/of verblijfkosten, excl btw)
• Vakantieplanning binnen de komende 3 maanden
• Woonplaats
• Dienstverband
• Contactgegevens leverancier

As an all-round bigdata engineer within our Agent Assist Gen AI program, you are working within a cross functional team which focusses on building a large and complex GenAI enabled data solution. Goal: Help our call center agents providing the best customer support. Within this team we are looking for a bigdata engineer which helps us further extending the product and move from a fast prototype into the next phase of maturity where we are building for scale.

Requirements:

• 5+ years of programming experience (Python)
• 5+ years of Big Data experience and deep understanding and application of modern data processing technology stacks (Spark)
• 2+ years working with AWS. (EC2, ECS Fargate, API gateway, VPC, Load Balancers, RDS Postgress, Redis, EMR)
• Experience with Grafana/Prometheus for monitoring and alerting
• At least 1 year experience working with data integrations and API’s including hands on experience in relation to API development
• Experience in maintaining, deploying and provisioning infrastructure using Infrastructure as Code. (AWS Cloud formation, Docker, CI/CD (GIT), knowing Typescript is a plus)
• Experience with data pipeline and workflow management tools such as Oozie or Airflow
• Experience working with monitoring, alerting and data quality solutions
• Ability to build/challenge cost efficient, scalable solutions including cost forecasting for our infra stack
• Experience working in an Agile environment

Nice to have:

• Experience in data testing/management

• Experience with DevSecOps

• Experience with Langgraph

• Experience with LLMOPS

• Experience in designing and developing data streaming solutions for real-time and low-latency data processing. (Kafka)

Expectations:
• We expect that the engineer will bring his own device so he’s able to develop and test code on his local machine (MacBook is preferred)
• Office days 2 times a week in Utrecht (Wednesday/Thursday