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Senior consultant_ data analyst_ uk

Leeds
Data analyst
Posted: 8 February
Offer description

Job Description Role – Azure Data Engineer Technology – MS Fabric, Azure, PowerBI Location – Leeds, UK Compensation – Competitive (including bonus) Job Description Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Your Role As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise‑grade data pipelines, lakehouses, and analytics solutions using Azure Data Services and Microsoft Fabric for client program. You will be responsible for building scalable ingestion, transformation, governance, and reporting layers aligned to client standards, workforce analytics requirements, and Trust‑level data governance. You will collaborate closely with architects, SMEs, BI developers, data engineers, platform teams, and external partners (Microsoft) to ensure high‑quality delivery of modern analytics platforms. Required •Strong hands-on expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL, Synapse. •Proven experience designing and developing solutions using Microsoft Fabric: oLakehouse oData Pipelines oDataflows Gen2 oWarehouse (SQL Endpoint) oOneLake governance •Ability to translate business requirements into technical architecture and detailed design. •Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‑driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability to integrate Azure/Fabric datasets with Power BI semantic models and dashboards •Experience building reusable datasets for Client domains such as HR, Payroll, Workforce, Clinical, or Operational reporting •Experience with CI/CD using Azure DevOps (Repos, Pipelines, Release Management) •Ability to work with data architects, platform teams and product owners to deliver high-quality designs Preferred •Experience delivering technology programs within healthcare organizations in Data. •Experience delivering analytics in Microsoft Fabric for enterprise-scale healthcare clients •Experience with Fabric Admin Center, OneSecurity model, Capacity planning. Certifications: oDP-203 (Azure Data Engineer) oFabric Analytics Engineer Associate oAzure Solutions Architect / Databricks certifications •Exposure to secure landing zones, data masking, PII handling, and access governance. 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.

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