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End Date
Monday 29 June 2026We Support Flexible Working – Click here for more information on flexible working options
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Hybrid WorkingJob Description Summary
You will be responsible for designing and implementing effective, straightforward engineering-driven solutions, harnessing Automation, AI, machine learning, and advanced statistical models to improve business performance process insight. Prioritise collaboration with Business Performance to understand their customer challenges, identify automation opportunities, and deliver tailored data solutions and streamlined processes. Focus on end-to-end automation and data pipelines—including the integration and sourcing of data that drive efficiency and reduce manual intervention.Job Description
Experience: 7-14yrs
Location: Hyderabad
Essential Skills & Experience
Ability to interpret business needs and gaps and provide engineered technical solutions that automate and evolve processes.
Experience with data analytics tools (e.g. Power BI, Tableau), low-code/no-code platforms (e.g. PowerApps, Power Automate, CoPilot Studio).
Demonstrable experience sourcing and integrating data from enterprise systems, such as Oracle and ServiceNow, into automated solutions.
Experience in engineering modelling techniques and automation solutions.
Proven track record in delivering complex analytics and process automation.
Growing understanding of future AI tooling such as Agentic AI and Generative BI, with a focus on automation.
Ability to work under pressure and meet tight deadlines without compromising quality.
Key Responsibilities
Engineer and deliver advanced automation and data solutions, utilising analytics and visualisation tools to support decision-making.
Find opportunities and develop solutions addressing their requirements and challenges.
Develop and implement automated workflows, processes, and reporting solutions that integrate data from key platforms
Collaborate effectively across various teams to ensure the delivery of engineering solutions and tangible benefits.
Maintain data integrity and accuracy in all automated systems, upholding high standards of quality and compliance.
Prepare and engineer data for AI agents, advanced analytics, and Generative BI, committing to operating within the Group’s Data governance framework and operating model as both a consumer and producer of data
Foster a culture of continuous improvement and innovation through engineering and automation.
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