About Convatec
Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatecâs revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more please visit http://www.convatecgroup.com
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The Full Stack BI Engineer owns BI products across the full lifecycle: from data ingestion and transformation through to semantic modelling, reporting, documentation, and user adoption. Working closely with commercial, operations, finance, and clinical stakeholders, the role translates complex and often ambiguous business requirements into clear, reliable, and scalable BI solutions built on Microsoft Fabric and Power BI.
This position requires strong technical capability across data engineering and BI, a structured analytical mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders.
Key duties and responsibilities
1. End-to-End BI Solution Development
Design, develop, and implement full-stack BI solutions from data ingestion through to user-facing reports and apps.
Take ambiguous business questions and translate them into well-defined BI products, including data models, semantic layers, dashboards, and supporting documentation.
Manage delivery from discovery and prototyping through validation and production support.
Ensure data accuracy, integrity, and reliability across all BI solutions.
2. Data Pipelines, Modelling, and ETL
Develop and maintain ingestion and transformation pipelines using Microsoft Fabric (Data Factory pipelines, dataflows Gen2, copy activities).
Land, organise, and structure data using Fabric Lakehouse and/or Data Warehouse patterns.
Implement layered data architectures (e.g. bronze / silver / gold) to ensure modular, reusable, and testable transformations.
Partner with Data Engineers to align on ETL standards, performance optimisation, and scalable design.
Apply data quality checks, validation rules, and monitoring to proactively identify issues.
3. Semantic Models, Reporting, and Visualisation
Design dimensional and star schemas optimised for BI use cases (facts, dimensions, SCDs, conformed dimensions).
Build and maintain Power BI semantic models (datasets) with clear, consistent business logic using DAX measures and calculated columns.
Develop high-quality Power BI reports, dashboards, and apps that are intuitive, performant, and aligned to real business workflows.
Implement navigation, drill-through, parameterised views, and security (row-level and object-level) as required.
Optimise models and reports for performance, maintainability, and scalability.
4. Data Analysis and Insights
Perform data analysis to identify trends, patterns, and opportunities that support decision-making.
Collaborate with stakeholders to understand analytical needs and deliver actionable insights.
Support advanced analytics use cases where appropriate, including predictive or statistical models in partnership with other specialists.
5. Data Governance, Documentation, and Support
Ensure BI solutions comply with data governance policies, security standards, and regulatory requirements.
Contribute to and follow standards for naming, workspace structure, environments, and deployment flows in Fabric.
Document BI products clearly, including purpose, data sources, refresh cadence, ownership, lineage, and known limitations.
Contribute to shared libraries of reusable calculations, templates, and visual standards.
Provide structured handovers, user support, and occasional training or knowledge-sharing sessions.
6. Collaboration and Continuous Improvement
Work closely with business stakeholders to prioritise work and agree success measures for BI products.
Collaborate with data engineering, architecture, governance, and security teams to align on standards and patterns.
Participate in peer reviews of SQL, DAX, data models, and report designs.
Support continuous improvement of BI delivery practices, promoting full-stack ownership and reduced hand-offs.
NOTE: Position will be based in Hyderabad.
Skills & Experience
Strong proficiency in SQL for data transformation, modelling, and performance tuning.
Hands-on experience with Microsoft Fabric components, including:
Data Factory (pipelines, dataflows Gen2)
Lakehouse and/or Data Warehouse
Power BI datasets, reports, and apps
Strong Power BI skills, including DAX, semantic modelling, and performance optimisation.
Solid understanding of data warehousing and dimensional modelling concepts.
Experience implementing BI security models (e.g. RLS).
Familiarity with Git-based source control and CI/CD practices for BI and analytics assets.
Experience working with enterprise source systems (e.g. ERP, CRM, finance systems).
Analytical and Professional Skills
Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
Clear communication skills, able to explain complex technical concepts to non-technical audiences.
Strong attention to detail, documentation, and data quality.
Ability to work effectively in a cross-functional, collaborative environment.
Comfortable working in regulated or compliance-driven environments.
Qualifications & education
Bachelorâs or Masterâs degree in a relevant field (e.g. Computer Science, Data Science, Information Systems, Engineering), or equivalent practical experience.
Proven experience (typically 3+ years) in a BI, analytics, or data engineering role delivering end-to-end BI solutions.
Demonstrated experience working across the full BI stack, from data ingestion and modelling to reporting and user adoption.
You take ownership from âvague askâ to delivered, documented BI product.
You value simple, repeatable patterns and shared standards.
You are pragmatic and delivery-focused, balancing speed with quality and sustainability.
You are transparent about trade-offs, risks, and constraints, and communicate them clearly.
At Convatec, weâre pioneering trusted medical solutions to improve the lives we touch. If youâre ready to make a real impact, apply today and help us bring our Forever Caring promise to life.
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Beware of scams online or from individuals claiming to represent Convatec
A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address.
If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever. If youâre unsure, please contact us at careers@Convatec.com.
Equal opportunities
Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing chara
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