Job Title : Data Engineer
Salary : £60,000 + Bonus
Location : Fully Remote (UK-based)
Overview
We are seeking an experienced Data Engineer to join our Data team and play a key role in developing scalable, cloud-based data pipelines and infrastructure. This role will support the organisation’s growing data strategy by ensuring high-quality, reliable, and accessible data for analytics, reporting, and future AI / ML capabilities.
The ideal candidate will have strong expertise in Azure, Databricks, and Python, with a proven track record of building and maintaining modern data platforms. Experience in financial services is beneficial but not essential.
Key Responsibilities
Data Architecture & Engineering
* Design, build, and maintain scalable Azure-based data architectures.
* Develop high-performance data pipelines and transformation workflows using Databricks and Python.
* Ensure data platforms support analytics, business intelligence, and emerging GenAI / ML needs.
Pipeline Development & Workflow Management
* Develop, optimise, and monitor ETL / ELT pipelines across various data sources.
* Implement data validation, governance, quality assurance, and security best practices.
* Maintain and improve data lakes, warehouses, and integration layers.
Cross-Functional Collaboration
* Work with analysts, BI teams, and stakeholders to understand data needs and translate requirements into technical solutions.
* Act as a key technical contact for data engineering within the organisation.
* Ensure data models and pipelines effectively support reporting and decision-making.
Performance & Continuous Improvement
* Monitor system and pipeline performance, ensuring SLAs are met.
* Evaluate and implement new technologies and tools to improve data capabilities.
* Automate and streamline processes to enhance scalability and efficiency.
Qualifications & Experience
Essential
* 4+ years of experience in Data Engineering or cloud-based data roles.
* Strong expertise in Azure cloud services and Databricks .
* Advanced proficiency in Python and SQL for data engineering.
* Experience with ETL / ELT tools and orchestration frameworks (e.g., Airflow, dbt).
* Strong knowledge of data warehousing and cloud-based data architectures.
* Understanding of BI tools such as Power BI or Tableau.
* Strong problem-solving and debugging skills.
* Ability to communicate technical concepts to both technical and non-technical audiences.
* Comfortable working independently in a remote environment.
Desirable
* Experience in financial services or public-sector data environments.
* Knowledge of data governance, security, and privacy best practices.
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