> Markdown version of [/jobs/ext/3978018-data-engineer](https://www.wearedevelopers.com/jobs/ext/3978018-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data engineer - **Company:** Vye - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Data Warehousing, Database Queries, Monitoring of Systems, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Technical Data Management Systems, Virtualization Technology, Real Time Systems, Grafana, Electronic Medical Records, Git, Amazon Relational Database Service, Data Analytics, Apache Kafka, Terraform, Software Version Control, Data Pipelines, Docker, Confluent, Amazon Redshift - **Published:** October 28, 2026 - **Apply:** https://nl.talent.com/redirect?id=571979863941451682&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-10&puid=edabadd9ddafadd7bdd99dd7edd8addaadadbdd79ddc9ddfbddcaddbbdafaddacdd89ddebea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de73dedgddfgddffdda3de73deggddb3ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=1&xml_batch_generation_id=962e138e-251a-4293-ad16-f7eb4b28760c&falcon=1&pid=604b7b430130&bpid=38eb9ae5b6dcfa1be49c2ae0d1c60577 ## About the Role * You have 4+ years of working experience in a Data Engineering role using modern technologies * You need strong programming skills in Python, as well as database query languages (SQL) * A broad working experience with a modern stack in cloud services (AWS S3, EC2, Redshift, RDS, EMR, ECS) * You have experience with data workflow management (eg: Airflow), virtualization platforms (eg: Docker), monitoring tools (eg: Grafana), version control (eg: Git) * You have experience with data warehouse design (dimensional modelling) * You have implemented continuous integration/ continuous delivery (CI/CD) in a production environment * We are looking for someone with expertise in infrastructure as code (eg: Terraform) * And, experience with real-time processing frameworks (eg: Kafka) * A plus is if you have experience with a modern data technology stack (Confluent, Lambda, Athena) ## Description Our client is a scale-up with a start-up mentality. They are building a transparent digital marketplace for Car Rental that customers can trust. They are proud of their open culture, collaborative ethos, vibrant environment and can-do approach. As they grow our business, they are keen to hear from people who understand what they are about and can help them achieve their mission. In this role you will work on developing our machine learning technology and influence our client's choice of new tools and technologies to take scale our platform. As Senior Data Engineer you will have a real end-to-end role. Dealing with a diverse set of data and developing data pipelines to and from our data warehouse to increase availability and quality of data. You will be expanding and improving their data analytics platform and go beyond modelling and prototyping, shipping your code to production. You will also have a role in scaling-up our insights and cloud infrastructure (code) You will be an key part of the Data & Analytics team and will collaborate daily with talented data scientists, data engineers, software engineers and product owners who share the combined ambition to take the company to the next level. As a senior member of the team you will also look leading the development of training, testing and deploying machine learning algorithms. Taking on the role of mentoring and coaching and ensuring the broader team is delivering high quality. Our technology approach is at the forefront of the industry and are constantly evolving. Some of the key projects you will be part of are for example, customer demand prediction, dynamic pricing and product selection and model lifecycle optimization or underlying infrastructure improvements.