Data Infrastructure Engineer
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Role details
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Job description
This is an opportunity to register your interest in future Data Infrastructure Engineer opportunities, roles that could focus on designing, building and maintaining the infrastructure that powers data pipelines and analytics platforms. Roles of this type may involve working with cloud platforms, containerisation technologies and modern data architectures to ensure data flows reliably across the organisation. You could contribute to the design and optimisation of data systems that support business intelligence, reporting and data-driven decision-making., * Designing and building scalable data pipelines and infrastructure using cloud platforms such as Azure or AWS
- Implementing CI/CD practices to automate data infrastructure deployment and testing
- Managing containerised applications using Docker and Kubernetes to ensure reliable data processing
- Collaborating with data teams to understand requirements and align infrastructure with data quality and pipeline needs
- Maintaining and optimising data systems for performance, reliability and cost-efficiency
- Working with distributed systems and microservices architectures to support data flow across the organisation
- Contributing to infrastructure-as-code initiatives using tools such as Terraform
- Supporting data quality analysis and ensuring robust monitoring and alerting for data infrastructure, Most roles of this type offer the following, dependent on the industry and seniority of the role:
- The opportunity to design and build infrastructure that supports data-driven decision-making across the business
- Exposure to modern cloud technologies and containerisation practices
- Scope to develop expertise in scalable, distributed data systems
- Potential to work on cross-functional data projects that align infrastructure with business needs
- Flexible contract engagement with the potential for extension based on performance and project requirements
- Professional development through exposure to evolving data infrastructure practices and technologies
Requirements
- Experience building and maintaining data pipelines and data infrastructure
- Working knowledge of cloud platforms (Azure, AWS or GCP)
- Familiarity with containerisation and orchestration tools (Docker, Kubernetes)
- Experience with CI/CD practices and tools
- Proficiency in at least one programming language (Python, Java or similar)
- Working knowledge of SQL and relational databases
- Bachelor’s degree in Computer Science or a related field
- Right to work in the United Kingdom
Nice-to-have
- Experience with SAP S/4HANA or SAP ECC environments
- Familiarity with data quality frameworks and data requirements gathering
- Knowledge of microservices and distributed systems design
- Experience with infrastructure-as-code tools such as Terraform
- Google Cloud Data Engineer certification or equivalent
- Master’s degree in Computer Science or related discipline
About the company
SThree is the global STEM workforce consultancy. We advise businesses, build expert teams and deliver project solutions to outpace tomorrow, together.
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