Gazelle Global
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." The position is remote, requiring strong skills in Python, advanced SQL, Azure cloud services, and data architecture principles. Experience in data-platform re-architecture is desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
West Midlands, England, United Kingdom
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🧠 - Skills detailed
#Version Control #Observability #Python #Data Quality #Migration #Data Warehouse #Leadership #Dimensional Modelling #Matillion #Data Architecture #Storage #Azure cloud #Azure #API (Application Programming Interface) #ADF (Azure Data Factory) #Data Design #Cloud #SQL (Structured Query Language) #Vault #Azure Data Factory #Data Pipeline #Databricks #Data Engineering #GIT #Scala #"ETL (Extract #Transform #Load)" #Automated Testing #Security
Role description
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:
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
- 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:
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.
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:
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
- 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:
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.
