Natobotics
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer Consultant in Sheffield, UK, on a contract basis. Key skills include Hadoop, Spark, Splunk, Python, and ETL/ELT pipeline development. Experience with agile methodologies and data compliance is essential. Pay rate and contract length unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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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
#NoSQL #Python #Compliance #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Security #Data Privacy #Spark (Apache Spark) #Agile #Cybersecurity #Data Engineering #Datasets #Splunk #Scrum #Kanban #BI (Business Intelligence) #Scripting #Deployment #Hadoop #Data Pipeline
Role description
Job Title: Lead Data Engineer – Consultant
Location: Sheffield, UK (3 days weekly from office)
Job Type: Contract
We Are Seeking a Lead Data Engineering Consultant With Proven Experience In Leading And Developing Data Engineering Platforms. The Ideal Candidate Will Possess Hands-on Expertise In The Following Areas
• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Proficiency in object-oriented and functional scripting, particularly in Python.
• Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
• Experience integrating large, disparate datasets using modern tools and frameworks.
• Strong background in building and optimizing ETL/ELT data pipelines.
• Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
• Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
• Ability to pair program and work effectively with other engineers.
• Excellent analytical and problem-solving abilities.
• Knowledge of agile methodologies such as Scrum or Kanban is a plus.
• Comfortable representing the team in standups and problem-solving sessions.
• Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
• Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
• Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.
Soft Skills (Consultant)
• Demonstrated ability and enthusiasm for enhancing team performance.
• Strong active listening and effective communication skills.
• Self-mastery, with a focus on positive mindsets and professional behaviours.
• Maintains up-to-date expertise in current tools, technologies, and key areas such as cybersecurity, data privacy, consent, and data residency regulations.
• Engages with industry groups and external vendors to represent and advance client interests and influence.
• Takes accountability for ensuring control and compliance throughout the engineering process.
• Champions innovation and the adoption of advanced technologies and best practices within the domain.
Fosters the professional growth of engineers through coaching and mentoring.
Job Title: Lead Data Engineer – Consultant
Location: Sheffield, UK (3 days weekly from office)
Job Type: Contract
We Are Seeking a Lead Data Engineering Consultant With Proven Experience In Leading And Developing Data Engineering Platforms. The Ideal Candidate Will Possess Hands-on Expertise In The Following Areas
• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Proficiency in object-oriented and functional scripting, particularly in Python.
• Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
• Experience integrating large, disparate datasets using modern tools and frameworks.
• Strong background in building and optimizing ETL/ELT data pipelines.
• Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
• Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
• Ability to pair program and work effectively with other engineers.
• Excellent analytical and problem-solving abilities.
• Knowledge of agile methodologies such as Scrum or Kanban is a plus.
• Comfortable representing the team in standups and problem-solving sessions.
• Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
• Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
• Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.
Soft Skills (Consultant)
• Demonstrated ability and enthusiasm for enhancing team performance.
• Strong active listening and effective communication skills.
• Self-mastery, with a focus on positive mindsets and professional behaviours.
• Maintains up-to-date expertise in current tools, technologies, and key areas such as cybersecurity, data privacy, consent, and data residency regulations.
• Engages with industry groups and external vendors to represent and advance client interests and influence.
• Takes accountability for ensuring control and compliance throughout the engineering process.
• Champions innovation and the adoption of advanced technologies and best practices within the domain.
Fosters the professional growth of engineers through coaching and mentoring.
