Senior Data Engineer

Senior Data Engineer

Posted Today by Webologix Ltd/ INC

Negotiable
Undetermined
Undetermined
Warwick, England, United Kingdom

Summary: The Senior Data Engineer will lead the architectural direction and technical leadership for the Interconnectors Data Platform (ICDP), a cloud-based data warehouse. This role involves designing scalable data architectures, migrating legacy ETL tools to modern Azure-based pipelines, and ensuring data quality and governance. The engineer will also mentor team members and collaborate with various stakeholders to deliver high-quality outcomes.

Key Responsibilities:

  • Lead the design and implementation of scalable data architectures, including Bronze/Silver/Gold layered models.
  • Drive the platform’s architectural roadmap and ensure alignment with modern engineering best practices.
  • Develop robust, secure, and observable ingestion and transformation pipelines.
  • Lead the migration from legacy ETL tools into modern Azure-based pipelines, including Azure Functions and Azure Data Factory.
  • Build and maintain performant SQL-based transformations, curated layers, and reusable data models.
  • Ensure CI/CD, testing, version control, and observability are fully embedded in workflows.
  • Implement data validation, reconciliation, profiling, and auditability across platform layers.
  • Work with business stakeholders to ensure output meets analytical and operational needs.
  • Mentor data engineers and contribute to the growth of technical capability within the ICDP team.
  • Collaborate with Product teams, IT&D, and external partners to deliver high-quality outcomes.

Key Skills:

  • Strong, hands-on experience building production-grade data pipelines, transformations, and orchestration using Python.
  • Expert-level analytical SQL, query optimization, and data modelling.
  • Experience with Azure Functions, Azure Data Factory, Azure Storage, Key Vault, and cloud security fundamentals.
  • Deep understanding of data architecture principles, dimensional modelling, and scalable enterprise data design.
  • Strong grounding in Git, CI/CD, automated testing, branching strategies, and modern engineering practices.
  • Experience with API ingestion, SFTP ingestion, and resilient pipeline design.
  • Strong problem-solving and architectural thinking.
  • Excellent communication and stakeholder collaboration skills.
  • Ability to provide clarity and leadership in complex or ambiguous technical landscapes.
  • Experience contributing to or leading data-platform re-architecture programs.

Salary (Rate): undetermined

City: Warwick

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

The Role

The Interconnectors Data Platform (ICDP) is a cloud-based data warehouse enabling critical commercial, financial modelling, and operational decision-making. As the platform moves toward a modernized Medallion Architecture and Azure-native ingestion patterns, we are hiring a Senior Data Engineer to provide architectural direction and hands-on technical leadership.

Your responsibilities: (Up to 10, Avoid repetition)

  • Data Architecture & Platform Engineering
  • - Lead the design and implementation of scalable data architectures, including Bronze/Silver/Gold layered models.
  • - Drive the platform’s architectural roadmap and ensure alignment with modern engineering best practices.
  • - Develop robust, secure, and observable ingestion and transformation pipelines.
  • Pipeline Development & Operations
  • - Lead the migration from legacy ETL tools (e.g., Matillion) into modern Azure-based pipelines, including Azure Functions, Azure Data Factory (ADF), and event-driven frameworks.
  • - Build and maintain performant SQL-based transformations, curated layers, and reusable data models.
  • - Ensure CI/CD, testing, version control, and observability are fully embedded in workflows.
  • Data Quality & Governance
  • - Implement data validation, reconciliation, profiling, and auditability across platform layers.
  • - Work with business stakeholders to ensure output meets analytical and operational needs.
  • Leadership
  • - Mentor data engineers and contribute to the growth of technical capability within the ICDP team.
  • - Collaborate with Product teams, IT&D, and external partners to deliver high-quality outcomes.
  • - Serve as a technical authority for engineering approaches, patterns, and standards.

Your Profile

Essential skills/knowledge/experience:

Essential Technical Skills

  • - Python : Strong, hands-on experience building production-grade data pipelines, transformations, and orchestration using Python.
  • - Advanced SQL: Expert-level analytical SQL, query optimization, and data modelling.
  • - Azure Cloud: Experience with Azure Functions, Azure Data Factory, Azure Storage, Key Vault, and cloud security fundamentals.
  • - Data Warehousing: Deep understanding of data architecture principles, dimensional modelling, and scalable enterprise data design.
  • - Strong grounding in Git, CI/CD, automated testing, branching strategies, and modern engineering practices.
  • - Experience with API ingestion, SFTP ingestion, and resilient pipeline design.

Soft Skills

  • - Strong problem-solving and architectural thinking.
  • - Excellent communication and stakeholder collaboration skills.
  • - Ability to provide clarity and leadership in complex or ambiguous technical landscapes.

Desirable skills/knowledge/experience: (As applicable)

  • - Experience contributing to or leading data-platform re-architecture programs.
  • - Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems.
  • - Experience in regulated or high-assurance data environments.
  • - Collaboration with modelling teams or environments where engineering and modelling intersect.