Senior Data Engineer
| Dyddiad hysbysebu: | 15 Gorffennaf 2025 |
|---|---|
| Cyflog: | £42,530 bob blwyddyn, pro rata |
| Gwybodaeth ychwanegol am y cyflog: | £42,530 - £47,660 (National), £44,270 - £49,970 + £3150 RRA (London) |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 12 Awst 2025 |
| Lleoliad: | National |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | Crown Prosecution Service |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: |
Crynodeb
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.