Senior Data Engineer Databricks (London-based)

Increase your chances of an interview by reading the following overview of this role before making an application.We’re looking for a London-based Data Engineer (Databricks) who will work closely with clients in Operational Risk Management domain to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as youll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders.Requirements:

• 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment
• Hands-on experience with Databricks Lakehouse Platform
• Strong SQL skills and proficiency in Python
• Experience designing and deploying solutions in cloud environments
• Ability to quickly grasp diverse business domains and adapt technical solutions accordingly
• Strong communication skills to interact with both technical and non-technical client stakeholders
• Experience working in agile, fast-paced project environments with shifting priorities

Nice to have:

• Experience with Snowflake
• Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer)
• Familiarity with BI tools such as Power BI, Tableau, or Looker
• Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus

Responsibilities:

• Interact xwwtmva with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions
• Building medallion architecture and strong canonical models for ORM
• Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks
• Deploy and govern cloud-based data platforms on

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