Vetted on a call by a Wave consultant, not scraped. £120,000 and above.
Data architecture with a lead engineer's hands still on the keyboard. Designed scalable data platforms and led transformation programmes in insurance and the public sector, including building a data culture from nothing and running the migration of a data team onto Google Cloud. AWS across Lambda, Glue, Kinesis and Athena, Azure across Data Factory and Synapse, with Airflow, dbt Core, Delta Lake, Kafka and Snowflake for the pipeline layer.
Looking forAn office policy change took in-person attendance from once a fortnight to twice a week, which from a Brighton base is a 5 to 6 hour round trip. No issue with the work itself. Wants an architecture-focused role weighted towards planning and standards.
How they came acrossPragmatic about change and unusually clear about the one constraint that matters to them. A law background before the data career shows up as a real interest in governance and ethics rather than a line on a CV.
Python, SQL, Airflow, dbt Core, Delta Lake · AWS Glue, Lambda, Kinesis, Athena · Azure Data Factory, Synapse, Snowflake, Terraform
Paralegal and finance roles first, then data engineering at a marine technology firm, a London borough, a listed digital media group and a home insurance business, now data architecture at an assessment software company. 9 employers, average stint 1 year 1 month.
Nine employers at an average of 13 months, and they're based in Brighton rather than London, so anything above light office attendance will fail. Our notes are from August 2025 and the file shows a move since.
Masters in law, with the whole data career built after it.
Principal-level AWS engineering with the advisory half attached. Recent work spans speech recognition and text to speech systems, GPU inferencing with Nvidia Triton, AWS scaling, data centre exits, cloud migrations and public sector modernisation, hands-on through design, infrastructure as code, performance engineering and dashboarding. Has been head of architecture, chief technology officer and interim VP of engineering, and advises at C-suite level, so the technical work and the boardroom work are both real.
Looking forFrustrated by 4 to 6 week engagement cycles and being stretched across unrelated contexts. Wants long-term embedded work, ideally security-cleared public sector or defence, with enough complexity to get traction. Also wants to get back to reverse malware analysis and threat detection modelling.
How they came acrossEnthusiastic when the work has a public sector or defence angle, which was the clearest signal in the conversation. Depth over breadth is the stated preference and the recent history backs it up.
AWS, Terraform, OpenTofu, Pulumi, ECS, EKS · Python, TypeScript, Go, .NET · SageMaker, Nvidia Triton, Databricks, Snowflake, Grafana
A mix of consultancy, contract and permanent leadership across a cloud consultancy owned by a global IT services group, a UK insurance group, the Civil Service, a global bank and several startups where they were CTO or cofounder. 16 employers, average stint 1 year 2 months, with a longest of 3 years 10 months.
16 employers at an average of 14 months, and they've ruled out short assess-and-mobilise engagements and further data centre exit work as a main focus.
Builds and deploys AI agents into live customer environments, which is a good deal rarer than the number of CVs claiming it. Leads early adopter engagements for new AI and MCP features at a process intelligence platform, runs full discovery cycles, and assesses whether what was built will scale across the customer base. Python, LLM application design, RAG and prompt engineering on the build side, with ERP and CRM integration work underneath across retail, manufacturing, telecoms and logistics.
Looking forNot unhappy, and said the product is a good one. The issue is being locked to a single platform with no way to work with anything else professionally. Wants breadth across a wider stack and a route towards heading a field deployment function.
How they came acrossMotivated by growth rather than by grievance, which our consultant noted specifically. Leads small project teams without formal management and seems content with that shape for now.
Python, SQL, JavaScript, Node.js, REST APIs · LLM application design, RAG, prompt engineering, agentic workflows · AWS, Azure, GCP, ERP and CRM integration
A decade across two employers, a business process management consultancy and then a process intelligence platform. 2 employers, average stint 1 year 7 months by role, though the tenure at each company is considerably longer.
The whole pitch has to be technical breadth. A role that swaps one platform lock-in for another will be declined.
Masters in computer science. Machine learning engineer and data science professional certificates alongside process mining accreditations.
Tell me which came closest and I recalibrate, then come back with 10 to 15 more inside 24 hours.
Show me the wider bank