Senior Data Engineer

Job Description

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The Opportunity\n

We are seeking a Senior Data Developer to join a growing consultancy delivering modern data, cloud, software and AI solutions across a range of industries.

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This is a client-facing role suited to an experienced software or data professional who combines strong technical capability with consulting skills. You will work directly with stakeholders to understand business challenges, design scalable data solutions, and deliver high-quality outcomes across the full project lifecycle.

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The role offers the opportunity to contribute to modern data platform implementations, AI-enabled development practices, solution architecture, and strategic client engagements.

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Key Responsibilities\n

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• Lead client workshops, discovery sessions and requirements gathering activities.
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• Design and deliver scalable Microsoft-based data platforms and solutions.
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• Build and maintain robust ETL/ELT pipelines, data models and data integration processes.
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• Develop production-grade solutions using Python, C# or JavaScript.
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• Create SQL-based solutions across modern cloud data environments.
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• Design and develop Power BI reporting and visualisation solutions.
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• Contribute to solution architecture, estimations, technical design and presales activities.
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• Mentor and support junior and intermediate developers.
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• Drive adoption of AI-assisted and agentic development practices.
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• Manage project scope, delivery risks and stakeholder expectations.
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• Act as the bridge between business stakeholders and technical delivery teams.
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About You Experience\n

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• 5 years' experience in software development, data engineering or data platform delivery.
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• Strong software engineering foundation prior to specialising in data.
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• Experience building enterprise applications, APIs, services or software platforms.
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• Client-facing consulting, vendor or professional services experience.
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• Experience leading workshops, stakeholder discussions and solution design sessions.
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• Proven ability to balance technical excellence with commercial and business outcomes.
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Technical Skills Data & Analytics\n

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• Microsoft Azure Data Platform
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• Azure Data Factory (ADF)
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• Azure Synapse Analytics
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• Microsoft Fabric
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• SQL
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• Power BI
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• Data Modelling
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• Data Engineering
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• ETL/ELT Development
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• Data Pipelines
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Software Development\n

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• Python, C# and/or JavaScript
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• API and application development
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• Software design and engineering best practices
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Engineering & DevOps\n

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• Git
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• CI/CD
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• Infrastructure as Code
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• Test Driven Development (TDD)
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AI & Emerging Technology\n

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• AI-Assisted Development
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• Agentic Development Tools
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• Modern AI-enabled delivery practices
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Key Attributes\n

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• Strong communication and stakeholder management skills.
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• Consultative and customer-focused approach.
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• Ability to confidently facilitate workshops and present solutions.
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• Commercial awareness and pragmatic problem-solving skills.
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• Strong mentoring and leadership capability.
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• Comfortable operating across both business and technical environments.
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• Critical thinker with a practical approach to applying AI technologies.
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• Able to influence outcomes and build trusted client relationships.
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What's On Offer\n

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• Hybrid working environment.
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• Visa sponsorship opportunities.
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• Exposure to leading Microsoft Data & AI technologies.
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• Involvement in solution architecture and consulting engagements.
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• Opportunity to shape AI-enabled delivery practices.
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• Career progression within a growing consultancy environment.
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• Diverse projects across data, cloud, software and AI disciplines.
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