Jobs at Solutions+ (A Mubadala company)

Job Description:Assist in the development, testing, and maintenance of data and AI solutions under the guidance of the Manager - Intelligent Automation and AnalyticsSupport the design and implementation of data pipelines, ETL processes, and basic data transformations to enable reliable data consumption for analytics and AI use casesCollaborate with senior developers and data engineers to integrate AI models and automation components into existing business applications and workflowsParticipate in code reviews, follow coding standards, and contribute to improving code quality, documentation, and maintainabilityPerform basic data exploration, validation, and quality checks to ensure accuracy, completeness, and consistency of data used for analytics and AI modelsDevelop and maintain simple scripts, utilities, and APIs to support intelligent automation, reporting, and data processing activitiesAssist in monitoring and troubleshooting data pipelines, AI models, and automation solutions, escalating complex issues to senior team members when requiredDocument technical specifications, solution designs, test cases, and deployment steps for data and AI components in a structured and reusable formatWork closely with business stakeholders and analytics teams to understand requirements, clarify data needs, and translate them into basic technical tasksSupport deployment, configuration, and version control of data and AI assets across development, test, and production environments following established processesContribute to proof-of-concept initiatives in data, AI, and intelligent automation by building prototype solutions and experimenting with new tools and techniquesAdhere to organizational security, compliance, and data governance guidelines while handling sensitive business data and developing AI-powered solutionsContinuously learn and upgrade skills in data engineering, AI, and automation technologies relevant to the Data Foundation department and business needsCollaborate with cross-functional teams within the Data Foundation department to ensure alignment of solutions with enterprise data architecture and standardsProvide basic operational support for existing data and AI solutions, including incident resolution, minor enhancements, and performance tuningParticipate in agile ceremonies, status updates, and project meetings, providing clear and timely updates on assigned tasks and deliverablesSupport the preparation of technical and user documentation, training materials, and handover notes to ensure smooth adoption of solutions by end users and support teamsContribute ideas for improving development processes, automation opportunities, and the effective use of data and AI within the locationRequirements:Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.Up to 3 years of experience in software development, data engineering, analytics, or AI related projects including internships or academic projectsBasic understanding of programming concepts and experience with at least one language such as Python, Java, or CFamiliarity with relational databases and basic SQL for querying and manipulating data, Exposure to data pipelines, ETL concepts, or data integration tools through coursework, projects, or prior roles, Interest in AI, machine learning, or intelligent automation and willingness to learn related frameworks and toolsAbility to read and understand technical specifications, design documents, and data modelsStrong analytical and problem solving skills with attention to detail and data accuracyGood communication skills to work effectively with technical and non technical stakeholdersAbility to work in a collaborative team environment within the Data Foundation departmentWillingness to follow established development standards, processes, and documentation practicesAbility to manage multiple tasks, prioritize work, and meet deadlines under supervisionOpenness to continuous learning and adapting to new tools, technologies, and methodologies in data and AIComfort working in an office environment at the location as per organizational requirementsEligibility to work in the specified location and comply with company policies and security guidelinesSkills:Proficiency in at least one programming language such as Python, Java, or C, Basic SQL querying and understanding of relational database concepts.Fundamental understanding of data structures, algorithms, and object oriented programming, Exposure to data processing or ETL tools and conceptsFamiliarity with version control systems such as Git, Basic knowledge of APIs and integration conceptsUnderstanding of core AI or machine learning concepts at a foundational level, Ability to perform data validation, cleansing, and simple exploratory analysis, Problem solving and analytical thinkingAbility to write clean, readable, and maintainable code with guidance, Documentation and technical writing skills for code, processes, and solutions.Collaboration and teamwork in a multi disciplinary data and analytics environmentTime management and task prioritization, Adaptability to new tools, frameworks, and technologies in data and AIEffective verbal and written communication skills