Data Engineer

Client Server — Netherlands · Posted ~1 day ago

Skills

Python SQL Apache Airflow Data Engineering ETL/ELT Data Warehousing Workflow Orchestration Cloud Infrastructure Scalable Data Pipelines Data Quality Cloud Data Warehouses Machine Learning MLOps AI

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Summary ✨ AI‑Generated

Join a technically challenging Data Engineering role focused on building a modern cloud-native data platform for advanced AI and machine learning workloads. You will design and optimise scalable ETL/ELT pipelines, data warehouses, and workflow orchestration systems capable of handling billions of records while maintaining reliable, high-quality data flows. The role offers close collaboration with data scientists and MLOps specialists, exposure to cutting-edge technologies, and strong opportunities for professional growth.

Highlights

Work on complex, large-scale data systems at the intersection of data engineering, cloud infrastructure, AI, and machine learning. Build scalable pipelines processing billions of records, collaborate with multidisciplinary technical teams, and benefit from a supportive work environment with attractive perks and career-development opportunities.

Description

Data Engineer (Python SQL Airflow) The Hague to €80,000 Are you a technologist Data Engineer who enjoys problem solving and working on complex systems? You could be progressing your career at the world's most advanced cybersecurity technology business that uses AI technology to protect clients across the globe from advanced cyber threats, working alongside a team of friendly and supportive people and enjoying a host of perks and benefits. As a Data Engineer you will help build the cloud-native data platform that powers next generation AI and machine learning products. Working at the intersection of data engineering, cloud infrastructure and AI, you'll design scalable pipelines and platforms capable of processing billions of records, ensuring reliable, high-quality data flows from ingestion through to production ML models. You'll develop and optimise modern ETL/ELT pipelines, data warehouses and workflow orchestration, collaborating closely with Data Scientists, MLOps Engineers and Software Engineers to deliver robust, scalable and cost-efficient solutions. This is an opportunity to influence the architecture of a growing AI platform, working with technologies including Python, Apache Airflow, SQL/NoSQL databases, Docker, Kubernetes, Terraform, and Google Cloud Platform. Location / WFH: You can work from home most of the time, joining colleagues in The Hague office twice a week. About you: You have a BSc or MSc degree in Computer Science, Data Engineering or a related fieldYou have strong Python programming skillsYou have experience with data pipelines (ETL / ELT) and workflow orchestrators such as Apache Airflow You have a strong knowledge of data warehousing and database systems (SQL and NoSQL), including data modelling and schema design You're familiar with streaming data technologies (e.g., Kafka, Pub/Sub) You have experience with at least one major cloud platform (GCP or AWS preferred) You have experience with containerisation and orchestration (Docker, Kubernetes) You're proficient with CI/CD and have a working knowledge of Infrastructure as Code (Terraform)You're collaborative with fluent English language skills What's in it for you: Salary to €80,000Pension, Private Medical Insurance, Life AssuranceEnhanced parental leaveEmployee Assistance Program23 days holiday plus an additional one for your birthdayCharity giving schemesPersonal training and development budgets Apply now to find out more about this Data Engineer (Python SQL Airflow) opportunity.