Cognizant
Data Engineer
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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.
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Essential Skills & Experience
We are looking for candidates with:
- Strong experience designing and delivering Azure-based data platform solutions.
- Experience with technologies including:
- Microsoft Fabric
- Power Apps
- Azure Synapse
- Azure Data Factory (ADF)
- Databricks
- Azure Functions
- Azure App Service
- Logic Apps
- Azure Kubernetes Service (AKS)
- 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.
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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.
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