Data Engineer

Reports to: Senior Data Engineer

Location: Remote

Job Type: Full Time

This is a remote working position with only occasional visits to the Burton-on-Trent, Staffordshire office

Riviera Travel has been a leading name in the tourism and travel industry for over 40 years, dedicated to creating authentic holiday experiences around the world. Our family-like culture emphasizes care, loyalty, and respect, fostering a lively and collaborative atmosphere at our head office in Stoke-on-Trent. We pride ourselves on delivering outstanding personal service and memorable journeys for our customers.

We are seeking a skilled Data Engineer to support the design, development, and maintenance of data solutions across our Azure-based data platform. Working closely with the Principal Architect, Senior Data Engineer, Cloud Team and cross-functional teams, you will help build robust data pipelines, contribute to data modelling activities, and ensure the delivery of reliable, high-quality data that supports business insight and operational decision-making.

This role is ideal for someone looking to deepen their Azure and Databricks expertise while contributing to the evolution of our data landscape.

• Develop, maintain, and enhance end-to-end data pipelines in Microsoft Azure.
• Support ingestion processes across structured and unstructured data sources.
• Work with Azure Data Factory (ADF) and Databricks to build and manage ETL/ELT workflows.

• Assist in designing and implementing enterprise data models.
• Help maintain and optimise data warehouse structures
• Contribute to performance tuning and scalability improvements.
• Work with Azure Data Lake, Azure Databricks, and Azure SQL Database to support data transformation and storage needs.
• Collaborate with the Senior Data Engineer on platform enhancements and best-practice implementation.

• Support data quality checks, validation workflows, and documentation processes.
• Ensure adherence to data governance standards and security controls, including role-based access and encryption.

• Monitor data pipelines and Azure services to ensure reliability, availability, and performance.
• Troubleshoot issues, implement fixes, and contribute to continuous improvement efforts.
• Assist with cost-optimisation across the Azure environment.

Required Skills

• Hands-on experience with Microsoft Azure data services, such as Azure Data Factory, Azure Data Lake, Azure SQL, and (ideally) Azure Databricks or Synapse Analytics.
• Solid understanding of ETL/ELT concepts and experience building data pipelines.
• Proficiency in SQL and exposure at least one programming language (Python preferred).
• Understanding of data modelling principles and data warehousing concepts.
• Awareness of data governance, security, and compliance practices.

• Exposure to Spark, Databricks, or other big data processing frameworks.
• Experience with Microsoft Dev Ops and CI/CD pipelines or Infrastructure as Code (IaC).
• Knowledge of version control tools such as Microsoft Dev Ops.
• Familiarity with machine learning or advanced analytics workflows.

• 2–4 years of experience in data engineering or a related field.
• Experience working with Azure-based data solutions is highly desirable.
• Certifications such as Microsoft Certified:
  Azure Data Engineer Associate are a plus.