Data Engineer

Duration: 12 months (extension may be applicable)

Location: Warsaw

Our client is looking for a Data Engineer to join its Data, Analytics & Insights team. This role will focus on building and maintaining data platform infrastructure in Azure, improving automation and ensuring the platform remains reliable, scalable and efficient.

You’ll work closely with data engineering teams and business users, helping develop the tools and infrastructure needed to support the organisation’s data requirements. The role would suit someone with a strong background in Azure, Terraform and infrastructure automation who enjoys solving technical problems and improving how data platforms are delivered and managed.

Key Responsibilities

• Help design, build and maintain the organisation’s data platform and core tooling within Azure.
• Ensure the platform is reliable, scalable, secure and performs effectively.
• Develop and maintain data platform tools and frameworks to support business and engineering requirements.
• Use Terraform and Infrastructure as Code to automate the deployment and management of cloud resources.
• Build and maintain DevOps pipelines to improve deployment processes and operational efficiency.
• Work with data engineering teams and business users to understand requirements and provide technical support when needed.
• Provide third-line support for platform-related issues, helping investigate and resolve more complex problems.
• Work with other teams to ensure data infrastructure meets business needs and aligns with wider technical standards.
• Evaluate new technologies, tools and approaches to improve the platform.
• Keep up to date with developments in Azure, data engineering and cloud infrastructure best practices.

Requirements

• Proven experience in data platform engineering, including building, developing and optimising data infrastructure.
• Strong experience with Terraform and Infrastructure as Code.
• Good knowledge of Azure cloud services and infrastructure management.
• Experience building and maintaining DevOps pipelines using Azure DevOps Pipelines, GitHub Actions or similar tools.
• Proficiency in Python, with scripting experience in Bash and PowerShell.
• Understanding of infrastructure automation and modern DevOps practices.
• Strong communication skills, with the ability to explain technical concepts clearly to both engineering teams and business users.

Nice to Have

• A bachelor’s or master’s degree in Computer Science, Information Technology or a related field.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes.