Senior Data Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and establish the data warehouse/lakehouse.

• Create pipelines to ingest data from various source systems.

• Develop the centralized data model and the dbt transformation layer.

• Ensure that transformations are version-controlled, tested, and well-documented.

• Implement data quality validation, monitoring, and alerting mechanisms.

• Set up row-level security for multi-tenant data.

• Build and sustain the semantic/metrics layer with governed metric definitions.

• Integrate the semantic layer into Power BI, in-product reporting, and the AI layer.

• Establish data foundations for AI and intelligence features, including data chat and proactively pushed insights.

• Lead platform and tooling decisions while setting engineering quality standards.

• Take ownership of the design and delivery of significant platform components.

• Collaborate with the Head of Data Engineering and evolve into a mentoring role as the team grows.

⛳️ Requirements

• Practical experience in designing, building, and operating data pipelines into a cloud warehouse or lakehouse in a production environment.

• Familiarity with modern cloud data platforms such as Snowflake, Databricks, or similar.

• Proficient in SQL and data modeling, including dimensional modeling and handling slowly changing dimensions.

• Strong experience with contemporary transformation frameworks like dbt, Matillion, or PySpark.

• Experience in extracting data from source databases.

• Excellent judgment regarding data quality, with the ability to make technical decisions and explain trade-offs.

• Knowledge of software engineering practices, including Git, CI/CD, and a disciplined software development lifecycle (SDLC).

• Comfortable working as a senior individual contributor, setting standards, and mentoring without formal line management.

• Typically 5+ years of experience in data engineering, with a proven track record of managing production pipelines and data models end to end.

• Proficient in Python for data engineering, pipelines, tooling, and automation.

• Experience with AI coding agents such as Claude Code.

• Strong foundation in data science, particularly in statistical or machine-learning methods.

• Knowledge of AI/ML data patterns, including LLM-ready data, text-to-SQL, and RAG.

• Experience with semantic/metrics layers like dbt metrics or Cube.dev.

• Understanding of data governance, GDPR, or data anonymization practices.

• Background in SQL Server.

• Experience in a SaaS or product-focused company.

🏝️ Benefits

• 27 days of annual leave plus bank holidays.

• Option to purchase up to an additional 5 days of holiday.

• Enhanced maternity and paternity leave policies.

• AXA Health insurance, covering dental, optical, and mental health services.

• Broadband allowance provided.

• Home office stipend available.

• Life assurance coverage (4 times basic salary).

• Encouraged and funded continuing professional development (CPD).

• Remote-first working environment with optional coworking days each month.

• Optional coworking facilities in Peterborough, Exeter, or Leeds.

• Opportunities for progression towards lead or principal roles.