Data Engineer

About the Position

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.

Responsibilities

• Work together with other medior- and senior team members on challenging projects for our clients.
• Take on complex problems such as building data pipelines, productionizing machine learning models and building custom software solutions.
• Deal 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.
• Apply engineering practices to pick the best tools for the job, balancing complexity, maintainability, speed of development, quality, and value.
• Develop and maintain data infrastructure and data intensive applications.
• Create insights and make data available for data teams.
• Deploy and configure data infrastructure.

Requirements

• 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

We Offer

💰 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

About the Company

Xccelerated is an initiative within the Xebia Group, accelerating growth of Data, Cloud & AI competence. Our 13-month advanced training programs integrate hands-on learning and skill development with working at one of our partner companies. It is an intense learning journey for those who have proven their potential and are ready for the next step in their career.

Are you one of them? Join our dream team of 45 great people. Each member of our team brings a unique specialty and passion to our shared mission: eliminate the shortage of highly skilled Data & AI professionals. To achieve our goal, we empower each other to reach their full potential and inspire others to do the same. Or as Selin, our data engineer says: “Xccelerated decreases the gap between software engineering and data science. Thanks to this, I am solving real data engineering challenges at ING”

Application Process

• First interview with one of our recruitment consultants
• Making a technical assessment (from home) you will present to one of our Tech Leads (home/on remote)

We aim to complete an application process (from application to offer) within 1-3 weeks. As you will understand, this also depends on your own availability.

Interested? We’d love to meet you!

Please get in touch! Contact Samantha Alves Goncalves at [email protected] or by phone at 0613889770.