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- Tasks: Build and maintain data pipelines using Microsoft Azure and Databricks.
- Company: Join Riviera Travel, a leader in innovative travel solutions.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Deepen your Azure skills while making a real impact on data-driven decisions.
- Qualifications: Experience with Azure data services and a passion for data engineering.
- Other info: Exciting entry-level role with great career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
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.
Key Responsibilities
- 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.
- Data Modelling & Warehousing
- 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.
- Data Governance & Quality
- Support data quality checks, validation workflows, and documentation processes.
- Ensure adherence to data governance standards and security controls, including role-based access and encryption.
- Monitoring & Maintenance
- 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.
Skills, Experience & Competencies
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 to at least one programming language (Python preferred).
- Understanding of data modelling principles and data warehousing concepts.
- Awareness of data governance, security, and compliance practices.
Preferred Skills
- Exposure to Spark, Databricks, or other big data processing frameworks.
- Experience with Microsoft DevOps and CI/CD pipelines or Infrastructure as Code (IaC).
- Knowledge of version control tools such as Microsoft DevOps.
- Familiarity with machine learning or advanced analytics workflows.
Education & Experience
- 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.
Seniority level Entry level
Employment type Full-time
Job function Information Technology
Industries Travel Arrangements
Data Engineer in Burton upon Trent employer: Riviera Travel
Contact Detail:
Riviera Travel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Burton upon Trent
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Azure and Databricks. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data pipeline skills. Practice common interview questions and be ready to discuss your past experiences. Confidence is key!
✨Apply Through Us
Don’t forget to check out our website for the latest job openings! Applying directly through us not only streamlines the process but also shows your enthusiasm for joining our team.
We think you need these skills to ace Data Engineer in Burton upon Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, ETL processes, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in SQL, any programming languages you know, and your experience with tools like Azure Data Factory and Databricks. We love seeing those skills in action!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Riviera Travel
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Microsoft Azure data services, especially Azure Data Factory and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL/ELT Skills
Prepare to talk about your experience with building data pipelines and the ETL/ELT processes you've implemented. Have specific examples ready that demonstrate your ability to handle both structured and unstructured data sources.
✨Understand Data Modelling Principles
Familiarise yourself with data modelling concepts and be prepared to discuss how you've contributed to designing enterprise data models. Highlight any experience you have with optimising data warehouse structures and performance tuning.
✨Emphasise Collaboration and Communication
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in previous roles. Discuss your approach to ensuring data quality and governance, and how you communicate technical information to non-technical stakeholders.
