Data Engineer (NL)

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?

Project Focus

• Help data‑driven organizations move, process, and store data by building data warehouses, data lakes, and distributed data meshes.
• Productionize 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.

Role Details

• Two full‑time weeks of hands‑on bootcamp training focusing on deployable code, containerization, data engineering, and cloud fundamentals.
• Work four days a week as a data engineer at one of our clients such as Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall.
• Participate in weekly sessions at the Xccelerated office in Amsterdam or remotely, receiving ongoing training and project support from technical leads.
• At the end of the first year, opportunity to join the partner organization directly.

As a data engineer you will work with other mid‑ and senior‑level team members on challenging projects for our clients. Typical responsibilities include building data pipelines, productionizing machine learning models, and developing custom software solutions.

You will handle a variety of data types and formats, from batch to near‑real‑time, and scale from a single machine to distributed systems. You are comfortable with infrastructure in the cloud or on‑premises, and you apply engineering practices to choose the best tools, balancing complexity, maintainability, speed of development, quality, and value.

Additional responsibilities include developing and maintaining data infrastructure and data‑intensive applications, creating insights, providing data to analytics teams, and deploying and configuring data infrastructure.

Benefits

• Competitive salary.
• 25 vacation days.
• Two full‑time weeks of bootcamp training.
• Technical trainings and innovation days throughout the year, every week.
• Challenging assignments.
• Company laptop and smartphone.
• Lunches, coffee, and snack bar.
• Flexibility in working from home and at the office.

Candidate Profile

• Customer‑focused with a strong can‑do mindset and results orientation.
• Desire to complete challenging tasks and learn while doing.
• Technical bachelor’s or master’s degree in computer science, informatics, artificial intelligence, or software engineering.
• 2–4 years of experience as a data engineer or as a software engineer in a data environment.
• Knowledge of open‑source technologies such as Spark, Kafka, Airflow, or Kubernetes and experience with Python.

Interested? Please get in touch! Contact Samantha Alves Goncalves at sgoncalves@xccelerated.io or by phone at 0613889770.

Application Process

• First interview with a recruitment consultant.
• Technical assessment from home, presented to a technical lead.

We aim to complete the application process within 1–3 weeks depending on availability.