Data Engineer T2-II
Summary
12-month remote contract (Warsaw, Poland) via staffing firm LanceSoft for an Azure data platform engineer: building and automating cloud data infrastructure with Terraform/IaC, CI/CD (Azure DevOps, GitHub Actions), and Python/Bash/PowerShell, while ensuring platform reliability, security, and performance.
Job Title: Data, Analytics & Insights Data Engineer T2-II
Job Reference: 92435-1
Location: Warsaw, Poland
Work Mode: Remote
Contract Duration: 12 Months
Experience Required: 2 5 Years
About the Role
We are looking for an experienced Azure Data Platform Engineer to support the development, automation, and optimisation of cloud-based data infrastructure. The ideal candidate will have strong hands-on expertise in Terraform, Microsoft Azure, Infrastructure as Code (IaC), DevOps pipelines, and Python.
The role involves building and maintaining scalable data platforms, automating infrastructure deployments, supporting platform users, and ensuring the reliability, security, and performance of cloud infrastructure.
Key Responsibilities
Design, develop, maintain, and optimise scalable data platform infrastructure on Microsoft Azure.
Implement Infrastructure as Code (IaC) using Terraform and other Azure infrastructure deployment tools.
Develop and maintain automated infrastructure provisioning and deployment workflows.
Build, maintain, and troubleshoot CI/CD pipelines using Azure DevOps Pipelines and/or GitHub Actions.
Develop scripts using Python, Bash, and PowerShell to automate infrastructure and operational activities.
Ensure platform availability, scalability, security, and performance.
Implement and maintain Azure networking, access controls, and cloud security standards.
Develop reusable tools, frameworks, and automation solutions to support data engineering teams.
Provide advanced technical support, troubleshoot incidents, and investigate platform issues.
Collaborate with data engineers, business users, and other technical stakeholders to understand requirements and deliver effective solutions.
Evaluate emerging technologies and recommend improvements to platform capabilities and operational efficiency.
Required Skills and Qualifications
Bachelor's or master's degree in Computer Science, Information Technology, or a related field.
2 5 years of relevant experience in data platform engineering, cloud infrastructure, or DevOps engineering.
Strong hands-on experience with Terraform and Infrastructure as Code (IaC).
Strong knowledge of Microsoft Azure cloud services and infrastructure.
Experience with Azure Resource Manager (ARM) templates or equivalent infrastructure deployment technologies.
Practical experience with CI/CD pipelines using Azure DevOps and/or GitHub Actions.
Proficiency in Python, Bash, and PowerShell scripting.
Knowledge of Azure networking, cloud connectivity, and security standards.
Experience automating infrastructure provisioning, configuration, deployment, and management.
Strong troubleshooting, analytical, and problem-solving skills.
Excellent communication skills, with the ability to explain technical concepts to technical and non-technical stakeholders.
Preferred Skills
Experience with Docker and Kubernetes.
Knowledge of big data technologies such as Apache Spark and Hadoop.
Familiarity with AWS, Google Cloud, or other cloud platforms.
Exposure to data platforms such as Snowflake.
Familiarity with open-source technologies and collaborative development practices.
Experience providing advanced production support for cloud data platforms.
Work Arrangement
Remote working arrangement.
12-month contract.
Candidates must be able to work remotely from an eligible location and meet the applicable employment and work authorisation requirements.
Candidate Screening Information
Interested candidates should be prepared to discuss their hands-on experience with Terraform, Azure infrastructure, IaC, CI/CD pipelines, Python, Bash, PowerShell, cloud networking, and security.
Candidates with a strong background in cloud infrastructure automation and data platform engineering will be prioritised.