Senior Data Engineer
| Posting date: | 15 July 2025 |
|---|---|
| Salary: | £42,530 per year, pro rata |
| Additional salary information: | £42,530 - £47,660 (National), £44,270 - £49,970 + £3150 RRA (London) |
| Hours: | Full time |
| Closing date: | 12 August 2025 |
| Location: | National |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | Crown Prosecution Service |
| Job type: | Permanent |
| Job reference: |
Summary
Your roles and responsibilities:
-Develop and maintain data products that meet the needs of stakeholders, ensuring they are user-friendly and accessible.
-Continuously monitor and optimise ETL processes and data flows to maintain high performance and efficiency, minimising downtime and errors.
-Implement rigorous data validation and quality checks to ensure the accuracy and reliability of data used for analytics and business intelligence.
-Mentor and support junior data engineers by sharing knowledge, best practices, and providing guidance on complex technical challenges
-Foster a collaborative learning environment by encouraging team members to share insights, experiences, and innovative solutions to common problems.
-Regularly seek and provide constructive feedback to and from team members, promoting a culture of continuous improvement and personal growth.
-Apply critical thinking and problem-solving skills to address complex data engineering challenges, identifying the most effective solutions
-Conduct thorough risk assessments for data projects, considering potential impacts and developing mitigation strategies to minimise risks.
-Engage with stakeholders to understand their needs and requirements, making informed decisions that align with business objectives and drive organisational success.
-Develop and maintain data products that meet the needs of stakeholders, ensuring they are user-friendly and accessible.
-Continuously monitor and optimise ETL processes and data flows to maintain high performance and efficiency, minimising downtime and errors.
-Implement rigorous data validation and quality checks to ensure the accuracy and reliability of data used for analytics and business intelligence.
-Mentor and support junior data engineers by sharing knowledge, best practices, and providing guidance on complex technical challenges
-Foster a collaborative learning environment by encouraging team members to share insights, experiences, and innovative solutions to common problems.
-Regularly seek and provide constructive feedback to and from team members, promoting a culture of continuous improvement and personal growth.
-Apply critical thinking and problem-solving skills to address complex data engineering challenges, identifying the most effective solutions
-Conduct thorough risk assessments for data projects, considering potential impacts and developing mitigation strategies to minimise risks.
-Engage with stakeholders to understand their needs and requirements, making informed decisions that align with business objectives and drive organisational success.