Azure data engineer

Xccelerated | Part of Xebia; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Weekly technical training & innovation days

Lunches and stocked snack bar

Amazing coffee

Job summary

Join a leading company in the tech industry as a Cloud Data Engineer. You'll design and implement innovative cloud solutions on Azure, optimizing data platforms to enhance efficiency. With over 60 days of tailored training, this role offers significant career growth in a collaborative environment focused on data-driven transformation.

Qualifications

• 4-6 years of experience in Data & Cloud engineering.
• Hands-on experience with Azure and Databricks.
• Proficiency in scripting and automation (Python, Bash).

Responsibilities

• Design and implement cloud solutions and data pipelines on Azure.
• Manage and optimize cloud data platforms and storage systems.
• Automate processes to improve efficiency and scalability.

Skills

Data Engineering

Cloud Engineering

Automation

Scripting

DevOps

Tools

Azure

Terraform

Docker

Kubernetes

Airflow

Job description

Direct message the job poster from Xccelerated | Part of Xebia

Head of Talent Acquisition @Xccelerated - Accelerating Growth | Data, AI & Cloud | We're hiring, so lets connect

We are looking for a Cloud Data Engineer to help build a state-of-the-art cloud platform at Xccelerated. Are you an engineer with experience in cloud infrastructure, automation, and scalability? Then join our Cloud team! You will work together with experienced consultants and receive over 60 days of tailored training to maximize your learning, impact, and career growth.

About the role

About the role

With this specific project our client is embarking on a significant digital transformation to enhance their data-driven capabilities. Together we are building a secure, high-performing, and scalable cloud platform on Azure to support their data ecosystem. As a Cloud Engineer, you will play a crucial role in designing, implementing, and optimizing this platform to drive innovation and efficiency across the organization.

As a Senior Data Cloud Engineer, you will:

• Design and implement cloud solutions, data pipelines, and integration patterns within the Azure environment.
• Manage and optimize cloud data platforms, including storage and processing systems like BigQuery, CloudSQL, Dataflow, DBT, and Cloud Storage.
• Monitor and enhance the performance, security, and cost-efficiency of cloud infrastructure and data platforms.
• Automate processes and workflows to improve efficiency and scalability.
• Support and advise development teams on cloud-related queries and onboard new projects.
• Troubleshoot and resolve complex technical issues.
• Stay updated with the latest developments and best practices within Google Cloud.

This is you

• 4-6 years of experience in Data & Cloud engineering, infrastructure, or DevOps
• Hands-on experience with Azure (and Databricks)
• Proficiency in scripting and automation (Python, Bash)
• Experience with Infrastructure as Code (Terraform or similar) and orchestration tools (Airflow)
• Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and cloud security best practices

What we offer

Besides working at one of the world’s most innovative companies in the tech industry, we offer:

Weekly technical training & innovation days

Lunches, amazing coffee, and a stocked snack bar

About us

Xccelerated is an initiative within the Xebia Group, accelerating the growth of Cloud, Data & AI competencies, enabling you to become an authority in your field. Our 13-month advanced training programs integrate hands-on learning and skill development with working at one of our partner companies. After the program, you will join the client permanently.

Interested?

We’d love to meet you! Contact Samantha at [e-mail] or by phone at [phone]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services

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