

Zensar Technologies
Senior Data Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Developer with 8–10 years of data engineering experience, focusing on Azure Data Factory, SQL, and ETL tools. Contract length is unspecified, with a competitive pay rate. Work location is flexible.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Stratford-Upon-Avon, England, United Kingdom
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🧠 - Skills detailed
#Azure #Data Warehouse #Scala #Agile #Automation #Cloud #ADF (Azure Data Factory) #SSIS (SQL Server Integration Services) #Informatica #Azure DevOps #"ETL (Extract #Transform #Load)" #DevOps #DataStage #Deployment #Azure Data Factory #Data Engineering #Data Pipeline #Data Processing #Data Integration #SQL (Structured Query Language) #SAP #SAP BODS (BusinessObjects Data Services)
Role description
Job Summary:
We are looking for a highly skilled Senior Data Engineering Developer with strong hands-on experience in Azure Data Factory, SQL development, and ETL tools. The ideal candidate will design and implement data pipelines, optimize performance, and collaborate with stakeholders in an Agile environment to deliver robust data solutions.
Key Responsibilities:
• Design and Develop Pipelines:
• Build and maintain Azure Data Factory pipelines and implement CI/CD processes for automated deployments.
• SQL Development:
• Write and optimize complex stored procedures, functions, and queries for high-performance data processing.
• Agile Delivery:
• Work in an Agile model, participate in sprint planning, and ensure timely delivery of data solutions.
• ETL Expertise:
• Utilize prior experience with ETL tools such as SSIS, Informatica, or DataStage for data integration tasks.
• Optional Skills:
• Exposure to SAP BODS is a plus.
• Technical Solutioning:
• Provide technical guidance and solutions to the team for complex data engineering challenges.
• Cloud & Data Warehouse Concepts:
• Apply knowledge of cloud architecture and data warehouse principles to design scalable solutions.
Required Skills & Qualifications:
• 8–10 years of experience in data engineering and ETL development.
• Strong hands-on experience with Azure Data Factory and CI/CD implementation.
• Advanced proficiency in SQL, including performance tuning and optimization.
• Experience with ETL tools (SSIS, Informatica, DataStage).
• Familiarity with Agile methodologies.
• Understanding of cloud concepts and data warehouse design.
Preferred Qualifications:
• Experience with SAP BODS.
• Knowledge of Azure DevOps for pipeline automation.
• Strong problem-solving and communication skills.
Job Summary:
We are looking for a highly skilled Senior Data Engineering Developer with strong hands-on experience in Azure Data Factory, SQL development, and ETL tools. The ideal candidate will design and implement data pipelines, optimize performance, and collaborate with stakeholders in an Agile environment to deliver robust data solutions.
Key Responsibilities:
• Design and Develop Pipelines:
• Build and maintain Azure Data Factory pipelines and implement CI/CD processes for automated deployments.
• SQL Development:
• Write and optimize complex stored procedures, functions, and queries for high-performance data processing.
• Agile Delivery:
• Work in an Agile model, participate in sprint planning, and ensure timely delivery of data solutions.
• ETL Expertise:
• Utilize prior experience with ETL tools such as SSIS, Informatica, or DataStage for data integration tasks.
• Optional Skills:
• Exposure to SAP BODS is a plus.
• Technical Solutioning:
• Provide technical guidance and solutions to the team for complex data engineering challenges.
• Cloud & Data Warehouse Concepts:
• Apply knowledge of cloud architecture and data warehouse principles to design scalable solutions.
Required Skills & Qualifications:
• 8–10 years of experience in data engineering and ETL development.
• Strong hands-on experience with Azure Data Factory and CI/CD implementation.
• Advanced proficiency in SQL, including performance tuning and optimization.
• Experience with ETL tools (SSIS, Informatica, DataStage).
• Familiarity with Agile methodologies.
• Understanding of cloud concepts and data warehouse design.
Preferred Qualifications:
• Experience with SAP BODS.
• Knowledge of Azure DevOps for pipeline automation.
• Strong problem-solving and communication skills.