Data Engineer
Role details
Job location
Tech stack
Job description
We are looking for Data engineers to help build a state-of-the-art Data Platform in Google Cloud Platform at Xccelerated. Are you a Data or software engineer with experience in data pipelines, data platforms or data warehouse environments? Then join our Data Platform team! You will work together with experienced consultants and receive over 60 days of tailored training to maximize your learning and impact and boost your career.
About the role
Our data team wants to become an entirely data-driven organisation. To reach this goal, they are building a new, modern, Data Platform on GCP, which will be used to provide insights and (self-service) analytics to the company, The Data Platform will be built from scratch, and your team is responsible for its architecture, development and maintenance.
You will be a very crucial part of the team. In your day-to-day work, you will collaborate with the engineering and analytics teams and build components of the platform that enables the users to create scalable pipelines and deploy models in production.
The Xccelerated Program
- You work 4 days per week as a Data Engineer at one of our partner organizations, where you design, build and optimize data pipelines that are actually used by the business.
- Every Friday is dedicated to your growth: advanced training sessions, technical deep dives and project support from experienced Tech Leads, with a strong focus on data modeling, cloud data platforms, reliability and best practices.
- By combining real client work with continuous coaching, you accelerate faster than in a traditional role and develop the confidence to take ownership of complex data challenges.
- After successfully completing the first year, you transition into direct employment with the client, fully equipped to operate as a mature and impactful Data Engineer.
As a Data (Platform) Engineer you will:
Help the team with building, deploying and maintaining their new Data Platform (GCP)
Build components of the platform that enables the users to build scalable pipelines and deploy models in production
Maintain and develop infrastructure related to data
Collaborate with the Platform and analytics teams to ensure cohesive integration between systems and data models are in place
Requirements
You have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing.
Next to this, you have:
A Bachelor/Master level education in Information Technology, Computer Science, Cloud Computing or related field
2-4 years of experience as a Data Engineer
Familiar with industry big data platform stack (for example: Databricks, Spark, Airflow)
Experience in working on public Cloud (GCP/AWS/Azure)
Proficiency in Python
Benefits & conditions
Xccelerated accelerates the careers of data, AI and cloud professionals by combining real project work with advanced technical training. You work four days a week building real solutions, and one day a week you deepen your skills through structured coaching and workshops with senior technical leads. Our program is designed for professionals who want to grow technically and professionally while delivering real impact from day one. IT Amsterdam Active in 1 country 30 employees 70% men - 30% women Average age is 27 years