head of platform and data engineering.

- Be hands-on in the code with delivering the product owner prioritized features to our Modern
Data Platform and related AI platform.
Lead skilled platform & data engineers based on industry thought leadership and appropriate
methods.
Shape team strategic outcomes within our Technology and Data Strategies.
Facilitate engineering bets & trade-offs to maximize business outcomes, speed, quality and
minimum viable compliance with an engaged team.
Technical leadership within one or several technologies, architectures or techniques.

- Have high degree of self-awareness, self-management, social awareness and relationship
management skills.
Are curious about appropriate technologies, methods and strategies for our business context.
Show talent in leading; change, learning and focus on the right problems to solve.

- Find it exiting to get value out of GenAI, Data Mesh and a fast moving technical bets.
Your general experience and background:  
Software Engineering or Data Engineering skills at expert level.
Platform Engineering or Cloud Engineering skills at advanced level.
Good understanding of the interplay between ways of working, architectures and organisational
outcomes.
Relevant track record of technology-fuelled business outcomes.

- Experience working with Python in a data engineering capacity.
Experience with SQL.
Building and deploying containerised applications on Kubernetes.
Familiarity with Snowflake.
Familiarity with DBT.
Building DAGs with Apache Airflow.
AWS or other public cloud experience.
Infrastructure-as-code tooling such as Terraform.
Experience working in end-to-end delivery teams.
Experience with a Data Mesh strategy.

Competitive salary and benefits 
Flexible work environment with a focus on work-life balance.
True Impact on the company development and culture;