Sword Group

Energy, Public and Finance Sectors

DataEngineer

£55–75k ~AI est. Glasgow, Scotland, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Energy, Public and Finance Sectors
Problems you'll solve

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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