At a Glance
- Tasks: Design and optimise data pipelines using Azure, Databricks, Python, and SQL.
- Company: Join a dynamic team at a leading data platform company in Cardiff.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Work in a collaborative environment with a focus on innovation.
- Why this job: Make an impact by building scalable data solutions that drive analytics.
- Qualifications: Experience with Databricks, Azure, SQL, and Python required.
Opus is partnering with a new client to support a major data platform build, and we’re looking for a Senior Data Engineer to play a key role in the next phase of delivery. This is a hands-on contract position focused on building out a modern cloud-based data environment using Azure, Databricks, and Lakehouse architecture principles. You’ll be working within a growing data function, helping to design and deliver scalable, production-grade data solutions that underpin reporting and analytics across the business. This role will suit someone who enjoys taking ownership, working closely with stakeholders, and translating business requirements into robust data engineering solutions.
What you'll be doing:
- Design, build and optimise data pipelines using Azure Data Factory, Databricks, Python and SQL
- Work within a Lakehouse / Medallion architecture framework
- Develop and maintain data models and structures to support analytics and reporting
- Work across Azure SQL / MS SQL environments
- Improve and maintain CI/CD and deployment pipelines for data workflows
- Support downstream analytics, including Power BI datasets
- Contribute to data quality, governance and best practice standards
What we are looking for:
- Strong hands-on experience with Databricks and Azure data platforms
- Databricks certification (current/relevant)
- Advanced SQL skills (MS SQL / Azure SQL)
- Strong Python experience
- Experience building scalable data platforms, ideally using Lakehouse architecture
- Solid understanding of data modelling, data quality and governance
- Experience working with Git and CI/CD pipelines
If this is a role that suits your skill set, you can travel to Cardiff on a hybrid basis of 2 days per week and available immediately then please apply for the job advert directly or reach out to me with your CV.
Senior Databricks Engineer in Cardiff employer: Opus Recruitment Solutions
At Opus, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Databricks Engineer in Cardiff, you'll benefit from a hybrid working model, competitive rates, and the opportunity to contribute to cutting-edge data solutions while advancing your skills in a supportive environment. Join us to be part of a growing team where your expertise will directly impact our data platform's success and your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data pipelines, CI/CD processes, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Databricks Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with Databricks and Azure data platforms. We want to see how your skills in Python and SQL align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Databricks Engineer position. Talk about your experience with Lakehouse architecture and how you’ve successfully delivered scalable data solutions in the past.
Showcase Your Certifications:If you’ve got a Databricks certification, make sure it’s front and centre in your application. We love seeing that you’re up-to-date with industry standards, and it’ll definitely give you an edge over other candidates.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Azure skills before the interview. Be ready to discuss specific projects where you've designed and built data pipelines using these technologies. Highlight your experience with Lakehouse architecture and how it can benefit the company.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially around data quality and governance. Think of scenarios where you had to translate complex business requirements into effective data engineering solutions. This will demonstrate your ownership and stakeholder collaboration.
✨Familiarise Yourself with CI/CD Practices
Since the role involves improving CI/CD and deployment pipelines, be ready to discuss your experience with Git and any relevant tools you've used. You might want to explain how you've implemented best practices in your past projects to ensure smooth data workflows.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and how they envision the role of a Senior Databricks Engineer. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you.
