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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Consultant Developer - **Company:** Deloitte - **Location:** London, UK - **Experience:** Starter - **Salary:** £52,586.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Big Data, Computer Programming, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Warehousing, Apache Hadoop, Systems Analysis, Python (Programming Language), Reference Data, Software Requirements Analysis, Solution Deployment Descriptor, SQL Databases, Data Processing, Scripting, Apache Spark, Data Analytics, Low-code, Data Management, Programming Languages - **Published:** August 14, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5840913693 ## About the Role * Good understanding of data concepts such as data modelling, data management, data quality, master data management, reference data, reporting and visualisation, AI * Excellent analytical and problem-solving skills, with the ability to break down complex issues and propose practical, data-driven solutions * Strong communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders * Ability to tell a compelling story by structuring thoughts in a way that is engaging and easy to follow, including using data visualisations to evidence and articulate arguments * Ability to work independently, think strategically and solve problems, identifying opportunities for innovation and growth while maintaining a focus on delivering high-quality solutions that meet or exceed client expectations * Exceptional time management skills to manage competing priorities, across client service, practice development, and business development responsibilities * Agile delivery environments * Project and programme management * Programming skills in SQL, Python, or similar languages relevant to data manipulation and scripting. * Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL/ELT, data warehousing, and automated workflows for moving and processing data. * Familiarity with data modelling techniques (e.g., dimensional, relational) and data architecture principles. ## Description Responsible for the prototyping or development of technical solutions using low-code/no-code, robotic process automation or traditional programming languages. This may include the need to quickly learn a new technology and combine that new knowledge with solid technical best practice to create a demonstration, minimum viable product or full production-ready solution. Systems Analysis Reviewing existing systems ("as-is") and supporting the design of future technical solutions ("to-be") including the creation of system diagrams, data models, interface specifications, and logic flows. This may also include the identification of risks, dependencies, and impacts of system changes. Solution Deployment, Testing & Support Contribute to the configuration, deployment and ongoing support of technology solutions in collaboration with team members and client stakeholders. This may include the design, execution and reporting of unit, functional and acceptance testing. Requirements & Analysis Gathering and documenting business requirements through meetings, workshops, and documentation review. Analyse current "as-is" business processes seeking out opportunities for improvement and the introduction of technologies such as Robotic Process Automation, low-code solutions and Ai. Draft or contribute to future "to-be" process designs and the creation of business requirements documents, user stories, process maps, process definitions documents and flow diagrams. Validate requirements with stakeholders to ensure accuracy and clarity. Technical Requirements Definition Based on business requirements create high or mid-level technical specifications to enable the development of technology solutions to meet business needs. This may include the design of non-human process flows or the creation of a system specifications. Work will include ensuring that business requirements can feasibly be met by technology and also making high-level recommendations about the most appropriate technology or technical approach. Data & Reporting Collect, analyse, and interpret business, performance and other data as an input to process design or other workstreams. Assist with preparing reports, dashboards, or presentations for decision-making. Identify trends, risks, or opportunities that can be used to generate proposals or approaches. Data Governance & Quality Support or lead on the development of data governance, security, or confidentiality process or standards. This may later include work on monitoring compliance or data quality while flagging any issues or omissions. Quality Issue Feedback Providing to third party providers or internal stakeholders detail of content, input or output quality metrics derived from analysis and testing. Principles and Standards Contributing to the ongoing development and review of principles and standards applicable to technical activities in DMS Digital. Best Practice Contributing to the ongoing development and review of best practice guidance and instruction across all business, technical and support activities undertaken within DMS Digital or other engagements. This activity to be undertaken in collaboration with colleagues across Deloitte and in line with general industry recommendations. Internal Relationships Accountable and Responsible for developing and improving relationships with technical support and related functions across Deloitte in support of shared standards and DMS Digital or other engagement activities. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [JavaScript? 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