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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and integrations, with a strong focus on Microsoft Fabric and cloud-based data engineering solutions. Proven ability to ensure data quality, governance, and compliance while collaborating with stakeholders to deliver impactful data products and analytics.
Highest-signal resume keywords
Data Engineering SolutionsMicrosoft FabricETL/ELT PipelinesData Quality AssuranceStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData Integration ProcessesData ModellingDatabase DesignSQLPower BIPythonSparkDatabricksCloud-Native Architectures
Soft Skills
Analytical Problem-SolvingTechnical LeadershipMentoringCommunicationContinuous Improvement Mindset
Tools & Technologies
Microsoft FabricAzure Data ServicesDataOps PracticesCI/CD PipelinesBusiness Intelligence Solutions
Certifications & Qualifications
Microsoft Fabric CertificationAzure Data Engineering CertificationData Management Certification
Industry Keywords
Information ManagementCyber SecurityData GovernanceConstructionInfrastructure
Tech Stack
Tools & technologiesAzureCloudCyber SecurityETLPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources
- Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions
- Build and maintain enterprise data products, data models, and structured datasets supporting reporting, analytics, and operational decision-making
- Establish and apply data quality, validation, and assurance frameworks
- Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements
- Drive continuous improvement through automation, process optimisation, and industry best practices
- Ensure compliance with standards relating to information management, data governance, cyber security, and data privacy
- Troubleshoot and resolve complex data-related issues, providing technical expertise and guidance
- Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures
- Mentor junior team members through knowledge sharing and technical leadership
- Contribute to organisational data engineering standards, frameworks, and reusable solutions
- Support solution architecture, platform design, and strategic data initiatives across programmes and business functions
Requirements
What you’ll need- Demonstrable experience delivering data engineering solutions within complex project, programme, or enterprise environments
- Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms
- Experience with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms
- Strong understanding of data modelling, database design, metadata management, and data architecture principles
- Experience implementing data quality, governance, and assurance practices
- Experience supporting reporting, analytics, and business intelligence solutions
- Understanding of information security, cyber security, and data protection requirements within enterprise environments
- Experience working directly with stakeholders to gather requirements and translate them into technical solutions
- Ability to manage competing priorities and deliver high-quality outputs within project timescales
- Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline, or professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management, or equivalent, or equivalent demonstrable experience
- Experience within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments
- Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices
- Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies
- Information Management in a complex construction or infrastructure project/programme
- Experience developing enterprise data products and supporting AI or advanced analytics initiatives
- Strong analytical and problem-solving capability
- Technical leadership and mentoring skills
- Excellent stakeholder engagement and communication skills
- Ability to influence data management best practice across teams
- Continuous improvement mindset with a focus on automation and innovation
- Commitment to quality, sustainability, and secure data practices
Benefits
Comp & perks- Skills-based career approach and opportunities to harness unique experience and expertise
- Meaningful work delivering sustainable solutions
- Equality, diversity, inclusion and belonging commitment
- Great place to work and employer-of-choice ambition