Senior Consultant DevOps - Technology Consulting - Financial Services at EY
1AZ, Noord-Holland, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

24 May, 25

Salary

0.0

Posted On

18 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Azure, Computer Science, Kubernetes, Google Cloud Platform, Aws, Docker, Hadoop, Kafka, Containerization, Spark, Scala, Programming Languages, Java, Python

Industry

Information Technology/IT

Description

At EY, we offer a unique opportunity to build a career as a DevOps Engineer. Join our Digital Engineering Team and contribute to shaping a better working world through the power of technology and innovation. Utilize your expertise and collaborate with global teams as you work on impactful projects and play a crucial role in solving complex challenges.
The opportunity - What future are you building towards?
As a key member of our team, you will play a significant role in building data and analytics platforms to our clients. Our newly built Digital Engineering team is highly focused on Cloud, Software, Data and user experience engineering and is experiencing rapid growth within our organization. By joining this dynamic team, you will have the opportunity to contribute to cutting-edge projects and play a key role in driving the success of our clients, particularly within the financial sector. Our goal is to become the go-to end-to-end technology partner for the largest financial institutions and organizations, positioning ourselves on the speed dial of decision-makers in the industry.
Our team - Do great minds always think alike?
The Digital Engineering team specializes in delivering innovative data governance solutions. Leveraging cloud technology and software engineering, we empower financial institutions with cutting-edge digital transformation and seamless data management.

Responsibilities
  • Design and Development: Design, and implement the data & analytics platforms, ensuring it is scalable, reliable, and secure.
  • Data Integration: Integrate diverse external and internal data sources (e.g. APIs, third party data providers) into the platform, ensuring data quality and consistency.
  • Platform Maintenance: Monitor and maintain the data platform, optimizing performance and resolving issues promptly.
  • Automation and CI/CD: Implement automation in data pipelines and deploy infrastructure as code (IaC) to support continuous integration and delivery.
  • Collaboration: Work closely with stakeholders to understand requirements and deliver solutions that meet business needs
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