CGEMJP00330718 Lead Data Engineer
Posted Today by 1771590572
£430 Per day
Inside
Hybrid
Sheffield
Summary: The Lead Data Engineer role is focused on leading and developing data engineering platforms, requiring extensive experience with technologies such as Hadoop, Spark, and Splunk. The position is hybrid, with three days on-site in Sheffield, and is for a duration of nine months. The consultant will be responsible for building and optimizing data pipelines while collaborating with BI and Analytics teams in a fast-paced environment.
Key Responsibilities:
- Lead and develop data engineering platforms.
- 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 for high code quality.
- Promote SRE culture and ensure service resilience and sustainability.
- Represent the team in standups and problem-solving sessions.
Key Skills:
- Extensive experience with Hadoop, Spark, and Splunk.
- Proficiency in Python and scripting.
- Experience with SQL and NoSQL data handling.
- Familiarity with CI/CD pipelines.
- Strong analytical and problem-solving abilities.
- Knowledge of agile methodologies like Scrum or Kanban.
- Excellent communication and active listening skills.
- Ability to enhance team performance and champion innovation.
Salary (Rate): £430 per day
City: Sheffield
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Role Title: Lead Data Engineer
Location: Sheffield/hybrid (3 days on site)
Duration: 9 months
Rate: £430 per day inside ir35
We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms.
Experience required:
- 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.
If you are interested in this role or wish to apply, please feel free to submit your CV.
