Sword Group
Energy, Public and Finance Sectors
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Sword Group. Skills: Data pipelines, Azure Data Services, Microsoft Fabric. Design data pipelines. Build data pipelines”
What You'll Achieve.
Achieve client objectives; Meaningful contribution to client outcomes
Industry & Context.
Problem-solving; Troubleshoot pipeline failures; Troubleshoot performance issues; Troubleshoot data inconsistencies
What They're Looking For.
Must Have
Deep understanding of Azure Data Factory, Synapse, Fabric, Power BI and Databricks, Experience in Fabric/data architecture, Experience in Fabric/data migrations, Understanding of stringent data governance, Ability to consult with clients, Proven experience of mentoring teams, Advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering, Prepare data for analytics and reporting
What You'll Do.
Design data pipelines
Maintain data pipelines
Integrate data from multiple systems
Develop ELT/ETL processes
Maintain ELT/ETL processes
Build Microsoft Fabric artefacts
Maintain Microsoft Fabric artefacts
Perform advanced data transformations
Support enterprise BI development
Prepare semantic models
Prepare reusable components
Apply data governance best practices
Apply data security best practices
Implement Purview classification
Implement Purview lineage
Implement Purview access controls
Implement Purview policies
Conduct data quality checks
Conduct data validation routines
Work closely with cross-functional teams
Understand requirements
Translate requirements into data solutions
Engage directly with clients
Engage directly with stakeholders
Explain technical concepts
Take ownership of complex engineering tasks
Assist senior engineers
Mentor junior engineers
Contribute to CI/CD processes
Contribute to version control practices
Contribute to automated deployment pipelines
Support documentation creation
Troubleshoot pipeline failures
Troubleshoot performance issues
Troubleshoot data inconsistencies
Ensure stability of production workloads
Ensure reliability of production workloads
Stay current with emerging tools
Stay current with emerging capabilities
Identify opportunities to improve efficiency
Identify opportunities to improve automation
Identify opportunities to improve scalability
Identify opportunities to improve maintainability
Contribute to internal knowledge sharing
Contribute to best-practice development
Contribute to engineering accelerators
Contribute to engineering templates
How You'll Work.
Team & Collaboration
Cross-functional teams; Client collaboration; Stakeholder engagement
Communication Scope
Explain technical concepts
Full Job Description
Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, dedicated to driving transformational change for our clients. We leverage proven technology, specialist teams, and extensive domain expertise to create robust technical foundations across platforms, data, and business applications. Our mission is fueled by a passion for technology as a means to solve complex business problems and achieve our clients' objectives. **About the role:** This Data Engineer role offers an excellent opportunity for someone with a good understanding and working knowledge of designing and building robust data pipelines, integrating complex data sources, and developing solutions using Azure Data Services, Microsoft Fabric, Power BI, and Purview. As an experienced Data Engineer, you will handle more advanced engineering tasks, drive improvements to existing pipelines, and contribute to the design of scalable, high quality data architectures. You’ll collaborate directly with clients and cross-functional teams, translating real business needs into effective data solutions while beginning to support and mentor junior engineers. This role is ideal for someone who wants to grow toward senior-level responsibilities, gain exposure to architectural thinking, and work with cutting-edge technologies, including Microsoft Foundry as part of emerging AI-driven capabilities. Candidates should apply if they’re looking for a role that blends hands-on engineering, problem-solving, continuous learning, and meaningful contribution to client outcomes within a high-performing Data & AI business unit. A Data Engineer is responsible for several key activities: * Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks * Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance * Develop and maintain EL
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