At a Glance
- Tasks: Design and build data pipelines using Azure technologies for analytics and reporting.
- Company: A historic mutual serving communities with a focus on responsible lending.
- Benefits: Competitive salary, hybrid working, 25 days holiday, and private healthcare.
- Other info: Great career progression and a vibrant workplace culture.
- Why this job: Join a hands-on role to make an impact in a supportive environment.
- Qualifications: Experience with Azure Databricks, Python, and SQL is essential.
The predicted salary is between 45000 - 55000 £ per year.
Your new company is an independent mutual with over 160 years of history serving communities across South Wales and the South West of England. They offer mortgages and savings built around their members' needs, combining personal service, local knowledge and responsible lending. As a mutual, they reinvest profits back into the Society to support their members, their people and the communities they serve.
Your new role involves designing, building, supporting and operating data pipelines and core data platform technologies within the organisation's Azure-based analytics and lake house environment. The role is hands-on and implementation-focused, working within established architectural patterns to deliver reliable, secure and well-governed data for analytics, Power BI reporting and regulated finance use cases. Responsibilities include supporting and maintaining underlying data platform services, including Azure Databricks and Azure Synapse.
Key Accountabilities:- Delivery of reliable, scalable and well-governed data pipelines that meet business and regulatory requirements
- Operational stability and performance of core data platform services including Azure Databricks and Azure Synapse
- Availability of trusted, high-quality Gold-layer datasets for analytics and Power BI reporting
- Adherence to data security, access control and governance standards within a regulated environment
- Effective resolution of data pipeline and platform incidents with clear root-cause understanding
- Maintenance of accurate documentation, lineage and operational run books to support ongoing platform support
- Develop and maintain data pipelines using Azure Databricks (Python, PySpark and SQL)
- Implement ingestion and transformation across Bronze, Silver and Gold layers using Delta Lake
- Support and operate Azure Databricks and Azure Synapse platforms, including performance monitoring and configuration
- Build Gold-layer datasets optimised for Power BI and analytics consumption
- Support production workloads, resolve incidents and maintain operational documentation
- Apply security, governance and access control standards suitable for a regulated environment
- Contribute to engineering standards, CI/CD pipelines and code reviews
- Proven experience as a Data Engineer
- Strong hands-on experience with Azure Databricks, Python, PySpark and SQL
- Experience supporting Azure data platforms in production
- Understanding of medallion architecture and Delta Lake
- Experience with Azure Synapse Analytics
- Experience with Azure Data Factory
- Experience in financial services or regulated environments
- Dimensional modelling / star schema knowledge
- Databricks Certification
- Competitive Salary
- Great Career Progression
- Hybrid Working Policy - 2 days a week in the office.
- Benefits Package
- 25 days paid holiday plus bank holidays
- Holidays - Purchase extra annual leave (up to 5 days)
- Additional day’s annual leave on birthday
- Contributory pension scheme - enrolment after 3rd month - 3% employee contributions, 10% employer contributions
- 4 X life assurance
- Private healthcare scheme (after one year’s service)
- Employee Assistance Programme
- Corporate uniform for branch staff
- Health and wellbeing benefits including flu jabs and eye tests
- Staff Socials
- 35 hour working week
If you’re interested in this role, click 'apply now' to forward an up-to-date copy of your CV.
Data Engineer in Cardiff employer: Hays
This independent mutual, with over 160 years of history, is an exceptional employer that prioritises the well-being of its employees and the communities it serves. With a strong focus on personal service and responsible lending, the company offers a supportive work culture, competitive salaries, and excellent career progression opportunities, including hybrid working arrangements and a comprehensive benefits package. Employees can thrive in a collaborative environment while contributing to meaningful projects that directly impact their members and local communities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at the company. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any relevant work you've done. This gives you a chance to demonstrate your hands-on experience with Azure Databricks and other tools.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in past roles, especially around data governance and incident resolution.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Databricks, Python, and SQL. We want to see how your skills align with the role of Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
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 mission. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Problem-Solving Skills:In your application, mention specific instances where you've resolved data pipeline issues or improved operational stability. We value hands-on experience, so share those stories that demonstrate your ability to tackle challenges head-on.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Hays
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Databricks, Python, PySpark, and SQL. Brush up on your understanding of medallion architecture and Delta Lake, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Understand the Business Context
Familiarise yourself with the company’s mission and values, especially their focus on community and responsible lending. This will help you align your answers with their goals and demonstrate that you’re not just a techie, but someone who cares about the impact of your work.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data pipeline incidents or performance issues. Think through past experiences where you resolved similar challenges and be ready to explain your thought process and the outcomes. This shows your problem-solving skills and operational awareness.
✨Showcase Your Documentation Skills
Since maintaining accurate documentation is key in this role, be prepared to discuss how you’ve documented processes in the past. Bring examples of run books or lineage documentation if possible, as this will highlight your attention to detail and commitment to governance standards.
