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# Data Specialist

- **Company:** SThree Plc
- **Location:** Leeds, UK
- **Salary:** £65,000.0 - £104,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Amazon Web Services, Data Analysis, Microsoft Azure, Bash Shell, Business Process Model and Notation, Databases, Continuous Integration, Data Systems, Distributed Systems, Python (Programming Language), SAP ERP, Power BI, Standard Sql, Data Streaming, UML, Scripting, RISE with SAP, Containerization, Kubernetes, Information Technology, Data Analytics, SAP S/4HANA, Terraform, Data Pipelines, Docker, Microservices
- **Published:** July 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=b3941c78c4705e8b

## About the Role

* Proven experience in data requirements gathering and stakeholder engagement
 * Working knowledge of data pipeline design and implementation
 * Competency in data quality analysis and validation
 * Strong SQL and database knowledge
 * Proficiency with analytics and visualisation tools such as Power BI or similar platforms
 * Experience with cloud platforms (Azure, AWS or GCP) or familiarity with modern data stack tools
 * Bachelor's degree in Mathematics, Computer Science, Statistics or related discipline
 * Strong analytical and problem-solving abilities
 * Excellent communication skills to bridge business and technical teams

Nice-to-have experience could include:

 * Exposure to Python, Bash or other scripting languages
 * Familiarity with CI/CD practices or containerisation tools such as Docker or Kubernetes
 * Knowledge of microservices architecture or distributed systems
 * Experience with Terraform or infrastructure-as-code concepts
 * SAP S/4HANA, SAP ECC or SAP RISE environment experience
 * BPMN or UML modelling experience
 * Excel expertise for financial analysis or data exploration

## Description

* Supporting the design and implementation of data pipelines to ensure reliable data flow
 * Conducting data quality analysis and identifying opportunities for improvement
 * Aligning data outputs with business objectives and pipeline requirements
 * Engaging with stakeholders to understand data needs and communicate insights
 * Contributing to the development and maintenance of data solutions
 * Supporting financial analysis where relevant to the business context
 * Collaborating with cross-functional teams to deliver data-driven outcomes


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