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About the Role
DMS Digital Software Developers provide technical and business capabilities including solution development, data analysis, business analysis, systems analysis, quality assurance, and documentation. They fill capability gaps on engagements, ensuring on-time, on-cost, and on-quality delivery by applying broad technical knowledge and analytical skills to unique or unfamiliar projects.
Responsibilities
- Prototyping or developing technical solutions using low-code/no-code, robotic process automation, or traditional programming languages.
- Reviewing existing systems and supporting the design of future technical solutions, including creating system diagrams, data models, interface specifications, and logic flows.
- Contributing to the configuration, deployment, and ongoing support of technology solutions.
- Gathering and documenting business requirements through meetings, workshops, and documentation review.
- Analyzing current business processes to identify opportunities for improvement and technology introduction.
- Drafting or contributing to future process designs and creating business requirements documents, user stories, process maps, and flow diagrams.
- Validating requirements with stakeholders to ensure accuracy and clarity.
- Creating high or mid-level technical specifications based on business requirements.
- Ensuring business requirements can be met by technology and making recommendations on technical approaches.
- Collecting, analyzing, and interpreting business and performance data.
- Assisting with preparing reports, dashboards, or presentations.
- Identifying trends, risks, or opportunities to generate proposals.
- Supporting or leading the development of data governance, security, or confidentiality processes and standards.
- Providing feedback on content, input, or output quality metrics.
- Contributing to the development and review of principles and standards for technical activities.
- Contributing to the development and review of best practice guidance.
- Developing and improving relationships with technical support and related functions.
- Supporting the development, maintenance, improvement, and management of risk controls.
Requirements
- 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.
- Strong communication and presentation skills.
- Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Ability to tell a compelling story by structuring thoughts in an engaging and easy-to-follow manner.
- Ability to work independently, think strategically, and solve problems.
- Exceptional time management skills to manage competing priorities.
- Familiarity with Agile delivery environments.
- Experience with 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.
- Exposure to low code development/automation platforms, such as Power Platform and Zoho.
- Experience in leveraging data visualization tools, such as Power BI, to build MI Dashboards.
- Exposure to Gen AI prompting on platforms such as GCP, Azure or AWS.
Skills
- Solution development
- Data analysis
- Business analysis
- Systems analysis
- Quality assurance
- Documentation
- Data modelling
- Data management
- Data quality
- Master data management
- Reference data
- Reporting
- Visualisation
- AI
- Analytical skills
- Problem-solving
- Communication skills
- Presentation skills
- Strategic thinking
- Time management
- Agile delivery
- Project management
- Programme management
- SQL
- Python
- Data manipulation
- Scripting
- Big data technologies
- Spark
- Hadoop
- ETL/ELT
- Data warehousing
- Automated workflows
- Dimensional modelling
- Relational modelling
- Data architecture
- Low code development
- Automation platforms
- Power Platform
- Zoho
- Data visualization tools
- Power BI
- MI Dashboards
- Gen AI prompting
- GCP
- Azure
- AWS
Location
- London
Work Type
- Hybrid Model
- Contract
- 6 months
- likely to convert to perm
Experience Level
- Junior
Salary/Compensations
- Competitive Inside IR35
About the Company
- DMS Digital Workstream
- Technical Services