Remote (UK Based)
This is a senior, client-facing role that blends hands-on engineering with solution design and technical leadership. You will own the design of end-to-end data solutions – from requirements, through architecture, to delivery – while mentoring colleagues and helping to shape the direction of their engineering practice.
Key Skills & Experience
Core engineering
- Highly experienced in SQL and Python
- Strong hands-on experience with one or more cloud data platforms (e.g. Snowflake, Databricks, Microsoft Fabric, Azure, GCP)
- Experience with data integration / ELT tooling (e.g. dbt, Fivetran, Hevo, Matillion, Azure Data Factory)
- Dimensional data modelling and data warehouse / lakehouse design
- Software engineering best practice: version control (Git), CI/CD, automated testing, and modular, reusable code
- Translating business requirements into clear, end-to-end technical solution designs
- Designing scalable, secure and maintainable data architectures across ingestion, transformation, storage and serving layers
- Producing solution design documentation, architecture diagrams and technical proposals and estimates
- Evaluating and recommending platforms and tools, including build-vs-buy decisions, with clear justification
- Balancing trade-offs across cost, performance, security, scalability and time-to-value
- Running discovery and requirements workshops with both technical and non-technical stakeholders
- Data governance, security, quality and compliance (e.g. GDPR)
- Cloud cost optimisation (FinOps) and performance tuning
- DataOps: orchestration, monitoring, and reliable, repeatable deployments
AI-ready data & modern analytics
- An understanding of how well-engineered data underpins AI and analytics use cases
- Awareness of GenAI / LLM concepts and agentic AI, and an interest in building “AI-ready” data foundations (e.g. Snowflake Cortex, Databricks AI, Microsoft Fabric / Copilot) – desirable
- Awareness of downstream BI and semantic layers (e.g. Power BI, Qlik) in order to design fit-for-purpose serving layers
Consulting & personal
- Confident communicator, able to present to and build trust with client stakeholders
- Self-starter and problem solver with a strong sense of ownership
- Good time management across concurrent client engagements
- Appetite to continually learn new technologies and techniques
- Willingness to mentor and develop more junior colleagues
- Relevant certifications, e.g. SnowPro, Databricks, dbt, or Microsoft Fabric / Azure (DP-series) or equivalent
- Infrastructure as Code experience (e.g. Terraform)
- Prior consultancy or client-facing delivery experience
Responsibilities
- Lead the delivery of customer projects – both technically, and by managing the project, the client relationship and more junior colleagues
- Own solution design: run discovery, capture requirements, and design end-to-end architectures, producing solution design documents and estimates
- Provide technical leadership and expertise on data engineering within the services team, supporting the Technical Director in developing and expanding the team’s capability
- Configure and manage client cloud platforms (e.g. Snowflake)
- Collaborate with customer stakeholders and analyse user requirements
- Create clear functional and technical documentation
- Deliver solutions aligned to industry best practice, and help establish reusable standards, frameworks and accelerators
- Ensure the quality of solutions through code reviews and testing
- Mentor and support the development of more junior colleagues
- Contribute to pre-sales activity – scoping, estimating, and building and demoing PoCs to prospects (on occasion)
- Work with the support team to help resolve tickets (on occasion)
- Keep your skills current with emerging technologies, including AI and GenAI
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