Role: Data Engineer
Location: Sheffield (Hybrid - 3 days a week)
Employment: Fulltime
About the Role:
We are looking for an experienced Azure Data Engineer to support the design, development and delivery of modern data platform solutions, with a particular focus on Microsoft Fabric migration and implementation.
You will play a key role in delivering data engineering and migration activities, working closely with engineering teams and stakeholders to deliver high-quality, scalable and well-tested data solutions.
The role requires strong technical expertise across Azure data technologies, alongside the ability to provide technical guidance, communicate effectively and contribute to successful delivery.
Key Responsibilities:
Configure data ingestion processes and solutions.
Lead the execution of Microsoft Fabric migration activities.
Lead and guide migration engineers and QA resources.
Develop Python, PySpark and Spark SQL code for data validation and curation within notebooks.
Create data integration test cases and support testing activities.
Implement and amend data processing and worker pipelines.
Implement data validation and curation rules.
Translate data models and mappings into detailed technical data mappings.
Design and implement data integrations.
Support the implementation and execution of data migration activities.
Perform data analysis and profiling.
Configure Azure DevOps / GitHub environments and CI/CD processes for Azure Data Factory and Databricks code.
Essential Skills & Experience:
We are looking for candidates with:
Strong experience designing and delivering Azure-based data platform solutions.
Experience with technologies including: o Microsoft Fabric o Power Apps o Azure Synapse o Azure Data Factory (ADF) o Databricks o Azure Functions o Azure App Service o Logic Apps
o Azure Kubernetes Service (AKS) o Web Apps
Hands-on expertise in PySpark, SQL and Python.
Good knowledge of real-time streaming applications, preferably including Kafka, Azure Functions or Azure Service Bus.
Strong understanding of Spark processing and performance tuning.
Experience working with file formats and partitioning, including Parquet, JSON, XML and CSV.
Experience with Azure DevOps / GitHub and CI/CD.
Strong programming experience in Python, with knowledge of other programming languages beneficial.
Experience with both synchronous and asynchronous interface approaches.
Knowledge of data modelling, including 3NF, dimensional modelling and Data Vault 2.0.
Experience working within Agile delivery environments.
Ability to produce comprehensive technical documentation.
Ability to set and manage realistic expectations around timescales, costs, benefits and measures of success.
Power BI experience is desirable.
The role requires experience across the following skill areas:
Data Engineering
Software Design
Analytics
Data Management
Data Modelling and Design
Data Visualisation
Database Design
Release and Deployment
Nice to Have
Experience integrating and implementing data cataloguing tools such as Azure Purview / Collibra.
Experience implementing and integrating visualisation tools such as Power BI or Tableau.
Experience with C# application development, including ASP.NET MVC.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
