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. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.