Lead Data Engineer - Hadoop - Spark - Python
Posted 1 day ago by Square One Resources
£617 Per day
Inside
Hybrid
Sheffield, South Yorkshire, UK
Summary: The Lead Data Engineer role focuses on leading and developing data engineering platforms, requiring extensive experience with Hadoop, Spark, and Python. The position is based in Sheffield, with a hybrid working arrangement of three days in the office. The contract is set to last until November 2026, with a competitive daily rate offered.
Key Responsibilities:
- Lead and develop data engineering platforms.
- Handle raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
- Build and optimize ETL/ELT data pipelines.
- Integrate large, disparate datasets using modern tools and frameworks.
- Support and collaborate with BI and Analytics teams.
- Drive the creation of technical test plans and maintain records in automated test environments.
- Promote SRE culture and ensure service resilience and sustainability.
- Represent the team in standups and problem-solving sessions.
- Implement Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
Key Skills:
- Extensive experience with Hadoop, Spark, and Splunk.
- Proficiency in Python and object-oriented/functional scripting.
- Experience with SQL and NoSQL databases.
- Strong analytical and problem-solving abilities.
- Knowledge of agile methodologies such as Scrum or Kanban.
- Ability to pair program and work effectively with other engineers.
- Experience in building and optimizing ETL/ELT data pipelines.
- Familiarity with source control and CI/CD practices.
- Excellent communication skills.
Salary (Rate): £617 per day
City: Sheffield
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Job Title: Lead Data Engineer - Hadoop, Spark, Pytthon
Location: Sheffield - 3 days per week in the office
Salary/Rate: Up to £617 per day inside IR35
Start Date: 02/03/2026
Job Type: Contract until November
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.
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.