Posted on: 22/12/2025
Description :
To be successful in this role, you will demonstrate :
- Leadership : Proven ability to lead a multi-level data engineering team and set a clear technical vision aligned to wider strategy and coach Data Engineers with empathy
- Communication : Excellent communicator able to translate complex technical topics into business impact for senior business stakeholders (C-suite, Heads of & Directors)
- Technical Depth & Breadth : Expert-level proficiency in Python for data engineering, SQL & Bash. Experience with Snowflake, Azure, MySQL, Airflow, Docker, Kubernetes.
- Business Acumen : Detailed understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS
- Data Governance : Deep understanding of data governance, privacy & security best practices
- Architecture : Experience designing & scaling enterprise-grade data architectures
- Time management & prioritization skills - things can get a little hectic, so the ability to effectively manage yourself and your workload is critical
- Flexibility being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
- Intellectual Curiosity : We are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
- IT Literacy : You should have an interest in technology, including AI and show the aptitude to bring this into your role and the projects you are accountable for delivering. You do not need to be a technologist yourself but you must be technically literate and curious about the possibilities that technology
- Delivery focus it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters
- Strong critical thinking and problem-solving skills
- Passion for our mission to generate a more sustainable future by leading the transition to clean energy
- Our values : be a leader, build trust, be responsible, be innovative and bring your alpha.
Experience & Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics or related field.
- 7+ years in data engineering (cloud data platforms, large scale pipelines) with 2+ years leading engineers; experience managing team leads is a plus
- Proven delivery of cloud data platform initiatives (Snowflake x Azure preferred) supporting analytics and AI projects
- Experience working across multiple business domains
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Engineering Management
Job Code
1593861
Interview Questions for you
View All