GIOS Technology
Lead Data Engineer(Hadoop / Spark / Splunk / Cybersecurity)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (Hadoop/Spark/Splunk/Cybersecurity) in Sheffield, hybrid (3 days/week in office), with a focus on extensive enterprise experience, strong Python programming skills, and knowledge of data privacy regulations.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sheffield, England, United Kingdom
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🧠 - Skills detailed
#Spark (Apache Spark) #Cybersecurity #Agile #Automated Testing #Data Engineering #Kanban #DevOps #MS SQL (Microsoft SQL Server) #Programming #Splunk #Security #Hadoop #NoSQL #Scrum #Data Integration #Data Processing #Data Privacy #SQL (Structured Query Language) #Python
Role description
I am hiring for Lead Data Engineer(Hadoop / Spark / Splunk / Cybersecurity)
Location: Sheffield - Hybrid / 3 days Per week in Office
• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Strong programming expertise in Python (object-oriented and functional paradigms).
• Proven experience working with large-scale structured and unstructured data systems (SQL and NoSQL).
• Deep knowledge of modern data integration tools and distributed data processing frameworks.
• Strong understanding of CI/CD, DevOps practices, and automated testing frameworks.
• Experience in Agile methodologies such as Scrum or Kanban.
• Solid understanding of cybersecurity, data privacy, consent management, and data residency regulations.
Key Skills: Hadoop / Spark / Splunk / Python / Cyber security / Data processing / Data privacy
I am hiring for Lead Data Engineer(Hadoop / Spark / Splunk / Cybersecurity)
Location: Sheffield - Hybrid / 3 days Per week in Office
• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Strong programming expertise in Python (object-oriented and functional paradigms).
• Proven experience working with large-scale structured and unstructured data systems (SQL and NoSQL).
• Deep knowledge of modern data integration tools and distributed data processing frameworks.
• Strong understanding of CI/CD, DevOps practices, and automated testing frameworks.
• Experience in Agile methodologies such as Scrum or Kanban.
• Solid understanding of cybersecurity, data privacy, consent management, and data residency regulations.
Key Skills: Hadoop / Spark / Splunk / Python / Cyber security / Data processing / Data privacy
