Lead Data Engineer - Hadoop, Spark, and Splunk.
Role details
Job location
Tech stack
Job description
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you
Role Title: Lead Data Engineer/Consultant Duration: Till 30th November 2026 Location: Sheffield (Hybrid 3 days per week)
£617/Day - Inside IR35
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 HSBC's 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.
Requirements
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 HSBC's 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.
