Senior Analytics Engineer – Central Data

This is a fully remote position, open to applicants in United Kingdom, +4 more countries.

📋 Description

• Design and enhance entities, metrics, and data products within the central model, ensuring thorough testing, lineage, and documentation.

• Construct and maintain data pipelines.

• Independently onboard new data sources.

• Manage CI/CD processes and uphold data quality checks.

• Engage in migration activities.

• Conduct interviews with stakeholders to understand their workflows and define their requirements.

• Relate data initiatives to business costs and value.

• Take part in regular reporting tasks, including regulatory and audit cycles, reconciliations, and business data requests.

• Integrate LLM steps into reporting and metric pipelines for tasks such as translation, classification, basic aggregation, and preparation of unstructured data.

• Assess the quality of LLM outputs as part of the delivery process.

• Provide access to the semantic layer for internal tools and agents via MCP and APIs.

• Collaborate with engineering teams to establish shared standards.

• Prepare reproducible and traceable data for agentic tools, company-wide AI applications, and external recipients.

• Set long-term objectives with stakeholders, take ownership of a domain roadmap, and mentor others in semantic-layer and analytics-engineering practices.

⛳️ Requirements

• Proficient in SQL.

• Strong skills in dimensional or semantic data modeling.

• Working knowledge of Python, including tests and version control.

• Experience in developing metrics and semantic layers.

• Familiarity with ETL processes and data warehouse or lakehouse environments, including end-to-end data source onboarding.

• Practical experience utilizing LLMs for data-related tasks, such as classification, extraction, translation, or agent development.

• Ability to comprehend business processes, propose effective solutions, and articulate them in terms of business value.

• Experience with Databricks and Unity Catalog is a plus.

• Hands-on experience or a solid understanding of MCP, tool invocation, tracing, and evaluations for LLM applications and agents is beneficial.

• Familiarity with workflow automation tools like n8n is advantageous.

• Experience in CI/CD, orchestration, and infrastructure-as-code is a plus.

• Background in fintech or banking, or experience in another high-volume operational-flow business, is a plus.

• Proficiency in English is required.

🏝️ Benefits

• High level of autonomy and freedom to select tools and methodologies.

• Opportunity to trial new vendors and open-source solutions.

• Incentives for implementing change.

• AI assistants handle routine tasks, enabling individuals to tackle more complex challenges.

• Mentorship opportunities and ownership of a domain roadmap as the role evolves.