Principal Data Engineer

As a Principal Data Engineer at Indicium AI, you will join a team of AI and data practitioners delivering enterprise-grade information architecture. You will lead data modelling and semantic architecture, shape data platform standards, and guide engineering teams in building AI-ready data products.

• Lead and contribute to conceptual, logical, and physical data model design aligned to client architectures, translating business requirements into rigorous data structures in collaboration with engineering and domain teams
• Govern and maintain data models in appropriate tooling, enforcing naming conventions, domain standards, and versioning across source, integration, and consumption layers
• Define and steward canonical data entities and lineage, and guide teams on the design and effective use of semantic data models, including their application to agentic AI solutions
• Design and maintain semantic models to support agentic-AI capabilities, integrating semantic layers with business glossaries, data catalogues, and lineage tooling
• Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search, and define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products
• Guide and govern the creation of data domains aligned with the client's underlying business capabilities
• Design data product schemas across platforms including Azure, Snowflake, and Databricks, encompassing Delta Lake structures and interoperable patterns, and define architectural guardrails for performance, scalability, security, and cost efficiency
• Set design standards and review transformations and pipelines for compliance, embedding data contract standards and data quality frameworks across pipeline outputs
• Leverage Snowflake Cortex, Databricks Genie, or equivalent tooling to help engineering teams deliver natural language query and LLM-augmented data products
• Utilise GitHub Copilot, Claude Code, or similar AI coding assistants to accelerate modelling, documentation, and pipeline development
• Design and define a set of agentic skills that can be provided to implementation teams, and contribute to the firm's AI Champion network, evaluating emerging capabilities and advising on adoption
• Act as a design authority for data architecture across teams and data domains, partnering with enterprise, security, and risk architecture to ensure data solutions align with broader technology and regulatory standards
• Provide early-stage architectural input to initiative discovery and solution design to reduce delivery risk
• Present architecture decisions to senior stakeholders, architecture review boards, and regulatory audiences, and support regulatory compliance through robust lineage, metadata management, and data quality evidence
• Mentor junior architects and engineers within the Information Architecture community of practice

• Experience: 8+ years in data architecture, data engineering, or information management, with proven enterprise data modelling experience at conceptual, logical, and physical levels
• Education: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline
• Data Platforms: Practical Snowflake and Databricks experience, including Cortex AI and Genie; familiarity with Azure data services
• Transformation Tooling: Proven experience with dbt Labs in production environments
• Programming & Integration: Good Python skills

• Data Vault 2.1 alongside Kimball/Star-schema modelling
• Data mesh, data product ownership and federated governance
• Knowledge graph platforms (Neo4j, Neptune, Stardog) or graph query languages
• Published thought leadership or community contributions in data or AI

• Highly competitive salary package along with company bonus
• Pick your own Gear! Macbooks, PCs, Accessories!
• Drive your development with a personal learning budget
• Holiday Entitlement - 25 days holiday plus bank holidays
• Learning & Development: 1.500€ training budget + 5 training days
• Company Bonus - Discretionary company and personal bonus paid quarterly
• Pension Scheme
• Choose Your Kit - Select from a range of laptops and accessories
• Social Events: meeting - Ups, Squad events, Summer/ Christmas events, etc

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.