Envitia

Consultant

• Lead discovery activities, stakeholder engagement, workshops, and business analysis
• Translate complex or ambiguous business needs into recommendations, requirements, roadmaps, and transformation plans
• Assess current operating environments and help design future business capabilities, operating models, governance structures, and organisational approaches
• Develop business architectures, capability models, transformation roadmaps, and practical delivery plans
• Support organisations through change by assessing impacts, engaging stakeholders, driving adoption, and helping teams transition to new ways of working
• Design customer-centred services, processes, organisational structures, and operating models
• Collaborate with architects, analysts, service designers, engineers, delivery teams, and customer stakeholders
• Define outcomes, performance indicators, benefits, and adoption metrics
• Support transformation programme delivery by prioritising activities and managing dependencies
• Contribute to proposals, bids, client presentations, and new consulting opportunities
• Share knowledge, mentor colleagues, and help grow Envitia’s consulting capability and service offerings

Senior Business – Transformation Consultant

QA Engineer

• Lead adoption of a proactive, quality-first approach across Engineering
• Embed consistent testing standards and shift-left practices across teams
• Coach teams in applying quality processes across different products and delivery contexts
• Implement test strategies, plans and coverage aligned to delivery objectives
• Translate requirements and user stories into executable test cases and scripts
• Develop and maintain automated test suites using Selenium, Cypress, Playwright or equivalent tools
• Embed automated testing within CI/CD pipelines to support DevSecOps delivery
• Support functional, integration, regression, system and acceptance testing
• Identify, manage and track defects through resolution
• Provide test reporting, quality metrics and evidence for release decisions
• Contribute to environment readiness, test data management and controlled release processes
• Collaborate in Agile sprint planning, refinement, reviews and retrospectives
• Shape quality engineering processes, frameworks, standards and controls across the organisation
• Mentor and advise delivery teams on modern quality engineering principles
• Help develop future quality engineering capability, including potential recruitment and leadership of a dedicated team

Quality Engineering Lead

Data Engineer

• Lead the design and delivery of modern data architectures
• Work with customers and stakeholders to understand complex business challenges, gather requirements, and translate them into scalable, secure, and sustainable data solutions
• Develop enterprise-wide data strategies supporting organisational objectives and digital change initiatives
• Define and implement data governance frameworks, policies, and best practices
• Provide technical leadership across discovery, solution design, implementation, transition, and operational adoption
• Collaborate with project managers, architects, engineers, and delivery teams on data platforms, integration solutions, and analytical capabilities
• Support business cases, cost models, delivery estimates, and risk assessments
• Develop reusable methodologies, accelerators, frameworks, and technical assets
• Identify emerging technologies, market trends, and innovation opportunities
• Advise clients on data architecture, governance, cloud adoption, analytics, and AI-enabled transformation
• Support pre-sales and business development activities, including proposals, solution designs, and customer presentations
• Represent Envitia at industry events, customer engagements, and conferences

Data Architect

• Build strong relationships with stakeholders across government departments, agencies, and public sector organisations
• Act as a trusted advisor on geospatial and data-related challenges
• Lead workshops, discovery activities, and requirements-gathering sessions
• Translate complex business problems into practical geospatial, data, and information management solutions
• Develop business cases, strategic roadmaps, target operating models, and implementation plans
• Provide consultancy and advisory services across geospatial strategy, data governance, information management, and digital transformation
• Communicate complex technical concepts clearly to technical and non-technical audiences
• Support programme and project delivery through governance, assurance, stakeholder engagement, and risk management
• Design and implement geospatial data management and information architecture solutions
• Support procurement, integration, migration, and adoption of geospatial platforms and technologies
• Define and promote best practices for metadata management, data quality, information governance, and data lifecycle management
• Develop and review data models, technical specifications, solution designs, and integration approaches
• Support implementation of GIS platforms, data services, APIs, and cloud-based geospatial solutions
• Conduct geospatial data analysis, transformation, and quality assessment
• Provide specialist expertise in spatial databases, geospatial standards, interoperability, and enterprise geospatial architectures
• Collaborate with architects, data engineers, GIS specialists, software developers, and delivery teams

Senior GIS Consultant

• Lead discovery activities, stakeholder workshops, and client engagements
• Translate client objectives into digital, data, and transformation outcomes
• Build trusted relationships and influence decision-making across stakeholder levels
• Assess operating models, processes, information, technology, and architecture landscapes
• Develop target-state architectures, operating models, data strategies, and implementation plans
• Identify opportunities involving data, analytics, AI, geospatial capabilities, and emerging technologies
• Support data governance, information management, data quality, and organisational adoption
• Produce presentations, reports, business cases, visual models, and strategic recommendations
• Lead or contribute to bids, proposals, and client growth opportunities
• Ensure high-quality outcomes and traceability from client challenges to realised benefits and value
• Work within a multidisciplinary team of consultants, architects, engineers, analysts, and domain specialists

Senior Consultant – Data, Digital Transformation

• Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake
• Develop and implement Lakehouse architectures using Medallion design principles
• Build ETL and ELT processes to ingest, transform and curate large, complex and diverse datasets
• Drive best practice in data quality, monitoring, alerting and operational support
• Optimise platform performance, scalability and cost across compute, storage and orchestration services
• Contribute to enterprise data architectures, standards and engineering patterns
• Integrate data platforms with cloud-native services, data lakes, event streams, warehouses and enterprise systems
• Implement data governance, security and access controls, including Unity Catalog or equivalent technologies
• Lead technical delivery across data engineering workstreams
• Collaborate with data scientists, analysts, architects and business stakeholders on end-to-end data solutions
• Support DevOps and CI/CD practices for data engineering
• Stay current with emerging technologies and industry best practice
• Mentor team members and influence the future direction of data engineering capability

Senior Data Engineer

Data Analyst

• Collect, organise and maintain data from a variety of sources
• Clean and prepare datasets by resolving inconsistencies, duplicates and data quality issues
• Analyse data using Excel, SQL, Power BI and Microsoft Fabric to identify trends, patterns and actionable insights
• Create dashboards, reports and visualisations for technical and non-technical audiences
• Support development and monitoring of KPIs and business performance metrics
• Collaborate with analysts, consultants and stakeholders to understand business requirements and create analytical outputs
• Maintain and enhance reporting solutions, databases and data management processes
• Present findings and recommendations clearly to support evidence-based decisions
• Improve data quality, reporting standards and analytical best practices
• Provide accurate analysis and timely reporting across multiple projects and priorities
• Work with senior colleagues to develop technical, analytical and consulting skills