Data Engineer

Data Engineer

Ready to break boundaries in the analytical world? Accelerate your data engineering career with our advanced training program. We fully pay this program as well as your salary. Your job? Working as a data engineer at one of our clients like Lely, ING, ASML or KLM on challenging projects.

What kind of projects?

• Help data-driven organizations move, process and store data by building data warehouses, data lakes and distributed data meshes
• Productionizing machine learning models
• Apply engineering practices to pick the best tools for the job
• Use raw data gathered from data pipelines to build production ready scalable applications driven by data and AI

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 engineer you will work together with other medior- and senior team members on challenging projects for our clients. In these projects you take on complex problems such as building data pipelines, productionizing machine learning models and building custom software solutions.

Part of the job is dealing with a variety of data types and formats; different data velocity from batch to near-real time; and scale from one machine to distributed systems. You’re not afraid to get your hands dirty with infrastructure, either in the cloud or on-premises. And most importantly you apply engineering practices to pick the best tools for the job, balancing complexity, maintainability, speed of development, quality, and value.

Besides this, you like to develop and maintain data infrastructure and data intensive applications; like to create insights and make data available for data teams and like to deploy and configure data infrastructure.

This is you

• A technical bachelor’s or master’s degree (e.g. computer science, informatics, artificial intelligence, software engineering)
• 2-4 years of work experience as a data engineer or as a software engineer in a data environment
• Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes and experienced with Python
• Customer focused and has a strong can‑do mentality; focus on results and desire to complete challenging tasks while learning

What Xccelerated offers

• Good salary
• 25 vacation days
• Technical trainings & Innovation days for a full year (every week)
• Challenging assignments
• Macbook and iPhone
• Lunches, amazing coffee and snack bar
• Flexibility in working from home & at the office