Infosys LimitedP
Role - Lead Consultant
Technology – Azure, ADF, Databricks, Pyspark
Location – Cork, Ireland
Compensation – Competitive (including bonus)
Role Overview
We are looking for a Technical Manager – Data Engineering with strong hands‑on experience in Azure, PySpark, and ETL, and a solid understanding of Retail data domains. This role will be responsible for leading technical delivery, engaging with clients, translating business requirements into scalable data solutions, and owning end‑to‑end delivery across distributed teams.
Key Responsibilities
Lead the design and implementation of cloud‑native data platforms on Azure using Azure Databricks, Azure Data Factory, ADLS Gen2, and Synapse
Drive end‑to‑end ETL / ELT pipelines using PySpark, SQL, and distributed processing frameworks
Ensure scalable, performant, and reliable data processing aligned with business and analytics requirements
Review and govern technical architecture, data models, and transformation logic
Lead technical discussions, solution walkthroughs, and design reviews with business and IT stakeholders
Proactively manage technical risks, dependencies, and mitigation plans
Work closely with business teams to understand retail processes and data consumption patterns for analytics and reporting
Ensure data quality, reconciliation, and consistency across downstream analytics and reporting platforms
Plan execution, track progress, and ensure on‑time delivery against project milestones
Enforce best practices in coding standards, CI/CD, testing, documentation, and DevOps
Collaborate with cross‑functional teams including Data Engineering, Analytics, BI, Architecture, and Product Owners
Required Skills & Experience
12+ years of experience in Data Engineering and Analytics platforms
Strong hands‑on expertise in Azure data services, PySpark, and SQL
Proven experience leading technical teams and driving delivery ownership
Strong understanding of retail data domains (Supply Chain, Sales, Customer, Finance, etc.)
Experience working in client‑facing roles, with excellent communication and stakeholder‑management skills
Ability to work effectively across business, functional, and technical teams
Nice to Have
Experience with large‑scale data modernization programs
Exposure to BI tools, self‑service analytics, and downstream consumption platforms
Experience in distributed / global delivery models
Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
Overview
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.