

Natobotics
Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (Contract, Hybrid) in Sheffield, UK, requiring extensive experience with Hadoop, Spark, and Splunk, proficiency in Python, and strong ETL/ELT pipeline skills. Agile methodology knowledge is a plus.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
February 13, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Sheffield, England, United Kingdom
-
π§ - Skills detailed
#Data Pipeline #Spark (Apache Spark) #Kanban #Scripting #Datasets #Hadoop #NoSQL #BI (Business Intelligence) #Data Engineering #Python #Agile #Scrum #Splunk #Deployment #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language)
Role description
Role : Lead Data Engineer β Consultant
Location : Sheffield, UK
Is it Permanent/ Contract: Contract
Is it Onsite/Remote/Hybrid: Hybrid (3 days weekly from office)
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
β’ Extensive enterprise experience with Hadoop, Spark, and Splunk.
β’ Proficiency in object-oriented and functional scripting, particularly in Python.
β’ Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
β’ Experience integrating large, disparate datasets using modern tools and frameworks.
β’ Strong background in building and optimizing ETL/ELT data pipelines.
β’ Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
β’ Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
β’ Ability to pair program and work effectively with other engineers.
β’ Excellent analytical and problem-solving abilities.
β’ Knowledge of agile methodologies such as Scrum or Kanban is a plus.
β’ Comfortable representing the team in standups and problem-solving sessions.
β’ 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.
β’ Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
β’ Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.
Role : Lead Data Engineer β Consultant
Location : Sheffield, UK
Is it Permanent/ Contract: Contract
Is it Onsite/Remote/Hybrid: Hybrid (3 days weekly from office)
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
β’ Extensive enterprise experience with Hadoop, Spark, and Splunk.
β’ Proficiency in object-oriented and functional scripting, particularly in Python.
β’ Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
β’ Experience integrating large, disparate datasets using modern tools and frameworks.
β’ Strong background in building and optimizing ETL/ELT data pipelines.
β’ Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
β’ Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
β’ Ability to pair program and work effectively with other engineers.
β’ Excellent analytical and problem-solving abilities.
β’ Knowledge of agile methodologies such as Scrum or Kanban is a plus.
β’ Comfortable representing the team in standups and problem-solving sessions.
β’ 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.
β’ Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
β’ Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.






