Data Engineer

Infotree Global Solutions

. Help design, build and maintain the organisation’s data platform and core tooling within Azure .

Posted 10/12/2026contractWarsaw • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data platform engineering, focusing on building, developing, and optimizing data infrastructure within Azure. Proficient in Terraform, Infrastructure as Code, and DevOps practices to enhance operational efficiency and support business needs.

Highest-signal resume keywords

Data Platform EngineeringTerraform and Infrastructure as CodeAzure Cloud ServicesDevOps PipelinesPython Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform EngineeringTerraformInfrastructure as CodeAzure Cloud ServicesDevOps PipelinesPythonBash ScriptingPowerShellContainerizationOrchestration

Soft Skills

Strong Communication Skills

Tools & Technologies

Azure DevOps PipelinesGitHub ActionsDockerKubernetesHadoopSparkSnowflake

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Information Technology

Industry Keywords

Cloud InfrastructureBig Data TechnologiesCloud NetworkingSecurity StandardsOpen-Source Practices

Tech Stack

Tools & technologies

AWSAzureCloudDockerHadoopKubernetesPythonSparkTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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
Bachelor’s or master’s degree in Computer Science, Information Technology or a related field is nice to have
Experience with containerisation and orchestration tools such as Docker and Kubernetes is nice to have
Knowledge of big data technologies and frameworks, including Hadoop and Spark is nice to have
Familiarity with other cloud platforms, such as AWS or Google Cloud is nice to have
Experience with PaaS platforms such as Snowflake is nice to have
Knowledge of cloud networking and security standards, particularly within Azure is nice to have
Familiarity with inner-source or open-source ways of working is nice to have

Benefits

Comp & perks

12-month contract duration; extension may be applicable
Supportive team environment
Opportunity to grow and challenge yourself in the role
Consultant care representatives committed to success and well-being