Amsterdam - Netherlands
GoDataDriven | Part of Xebia
While the talent scarcity within IT is at an all-time high and still growing, Xebia sticks to the mission of “aiming for thought leadership”, thus working with the best professionals in the market.
At Xebia we are always looking for talented people to deliver value to our clients and their customers. You will get the chance to work with passionate professionals within their field of expertise. We are looking forward to working with you!
Does this sound like you?
You are an engineer with a pragmatic attitude. You feel the weight of responsibility that comes with taking systems into production. You easily switch between scripting and structured programming in typed languages. You understand cloud, provisioning, and automation. And you know how to build robust systems.
How you will help to create value with Data and AI
We build strong Data and AI practices to deliver value to our clients and their customers. In the past, our team of data professionals has predicted the daily demand for millions of loaves of bread, built advanced energy-saving algorithms to nationwide scale, and set up data innovation labs at large multinational corporations. We enjoy great success in making top companies AI-driven — just think of what more we can achieve when YOU join our team!
As a data engineer, you are responsible for the implementation of the foundations of data-intensive systems. You develop enabling infrastructure to store, transform and process data at scale and in the cloud. You make sure that data is stored safe and secure using the technology that you see fit for the job.
What you will do to make data-intensive applications work effectively and securely?
With your knowledge of software engineering, cloud, clusters, queues, containers, streaming, or graphs you work on the backbone of the data infrastructure. There is lots of data to store, many jobs to run and schedule, many configurations to be dealt with. You work at the client in teams that are a mix of people from GoDataDriven and the client and pick up the work that is related to that backbone on which the team is building.
Who Are We Looking For?
The Data Engineer role is a senior position with a central role in our clients' teams, and therefore we require at least 2 years of relevant professional experience. Having said that, we like to be amazed: so if you have done something outstanding during your studies, like contributing to open source projects or starting your own company, we encourage you to apply no matter what the level of your experience is.
This is your dream job if...
- if you like working with new data processing tools, like Airflow, Spark, Flink, and Druid
- if you understand the importance of the cloud and know your way around it or want to learn that
- if you like working for different clients and enjoy the excitement of regularly getting to learn new environments and know new people
This is not your dream job if...
- if you do not like working under pressure to get things done in the best way possible with the limited time you have to finish it
- if you do not like working with open source technology
- if you do not like coding, scripting, templating
Your Devices and Books
Conferences and Speaking
In 2009, we were pioneers in implementing modern data platforms like Hadoop. Back then, Big Data wasn’t a common term. But the technology opened up new business opportunities for our customers, which is always what matters.
The thrill of replacing a very expensive, licensed data platform with an open-source platform that easily outperformed its predecessor inspired us to become the country’s leading experts in open-source Big Data technologies. So, it should come as no surprise that GoDataDriven was the first Cloudera partner outside of the US.
After implementing Big Data technology, we began offering Data Engineering services and hired our first data scientist in 2012. We have since built a team of incredibly talented data scientists, many with Ph.D.’s. Our lead data scientists and lead data engineers are now complemented by top-notch analytics translators who work with the business to point out and develop AI use cases into applications that are a joy to use and add value to your bottom-line.