Senior Analytics Engineer, Central Data & AI Pipelines

DutchTechX; Manchester; Hybrid; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

DutchTechX is seeking a Senior Analytics Engineer to evolve our central data model and build tooling that connects it to AI tools across the company. You will work with stakeholders to translate processes into robust data products and metrics, with clear lineage and tests.

You’ll deploy LLMS in production, design semantic layers, and expose data via MCP and APIs, ensuring reproducibility and business value across teams in a fast-paced fintech-like environment.

Qualifikationen

• Expert SQL skills with strong dimensional or semantic modelling.
• Proficient Python with tests and version control.
• Experience building metrics and semantic layers.
• ETL and data warehouse or lakehouse experience.
• Hands-on use of LLMs in production data work.
• Consultative approach linking data work to business value.

Aufgaben

• Design and evolve entities, metrics and data products with tests, lineage and docs.
• Build and maintain pipelines; onboard sources; keep CI/CD and data quality checks.
• Interview stakeholders; map processes; tie data work to business value.
• Support recurring reporting, regulatory and audit data requests.
• Integrate LLM steps into reporting and pipelines; assess output quality.
• Expose semantic layer to internal tools via MCP and APIs; collaborate with Eng.
• Prepare data for agentic tools and AI harnesses; ensure reproducibility.

Kenntnisse

SQL

Data modelling

Python

ETL

Data warehouse

LLMs in production

Business value framing

Tools

Databricks

Unity Catalog

MCP

n8n

CI/CD

Infrastructure as Code

Jobbeschreibung

DutchTechX is seeking a Senior Analytics Engineer to evolve our central data model and build tooling that connects it to AI tools across the company. You will work with stakeholders to translate processes into robust data products and metrics, with clear lineage and tests.

You’ll deploy LLMS in production, design semantic layers, and expose data via MCP and APIs, ensuring reproducibility and business value across teams in a fast-paced fintech-like environment.