London Market Data Architect β€” Hybrid, Snowflake & ELT

London Market Data Architect β€” Hybrid, Snowflake & ELT

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
OneAPPS Consulting

At a Glance

  • Tasks: Lead data modelling for insurance platforms and collaborate with diverse teams.
  • Company: OneAPPS Consulting, a forward-thinking firm in London.
  • Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and influence governance standards.
  • Why this job: Shape the future of data architecture in the insurance industry.
  • Qualifications: Experience in data architecture and strong collaboration skills.

The predicted salary is between 60000 - 80000 Β£ per year.

OneAPPS Consulting in London is seeking a Data Architect to lead conceptual and logical data modelling across insurance platforms, with focus on underwriting and policy lifecycles. You will collaborate with solution and data architects, engineers and stakeholders to define consistent data structures, ensure alignment with London Market standards, and guide delivery teams. This role offers hybrid working in London and a chance to influence architecture governance and data governance.

London Market Data Architect β€” Hybrid, Snowflake & ELT employer: OneAPPS Consulting

OneAPPS Consulting is an excellent employer that fosters a dynamic and collaborative work culture, offering employees the chance to engage with cutting-edge Adobe CX solutions in a vibrant London setting. With a hybrid work model and opportunities for professional growth through continuous learning and development, team members are empowered to thrive while delivering impactful technical advisory services to enterprise customers across Europe.

OneAPPS Consulting

Contact Details:

OneAPPS Consulting Recruitment Team

We think you need these skills to ace London Market Data Architect β€” Hybrid, Snowflake & ELT

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Data Engineering