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- Tasks: Migrate and modernise data platforms using Azure technologies.
- Company: Dynamic tech firm focused on innovative data solutions.
- Benefits: Competitive pay, hybrid work model, and a chance to upskill.
- Why this job: Join a cutting-edge project and make a real impact in data engineering.
- Qualifications: Experience with Azure, SQL, Python, and Power BI required.
- Other info: Exciting opportunity for career growth in a collaborative environment.
Are you the right candidate for this opportunity? Make sure to read the full description below.
We're looking for a hands-on Azure Data Engineer to support a major data platform modernisation programme. You'll help migrate legacy SQL and Synapse workloads into Microsoft Fabric, build new Fabric Lakehouse/Warehouse pipelines, and drive the transition from Tableau to Power BI.
Responsibilities- Migrate SQL-based analytics into Microsoft Fabric (Lakehouse, Warehouse, Pipelines)
- Modernise existing Synapse pipelines and dataflows
- Build scalable Fabric Data Pipelines
- Support enterprise move from Tableau to Power BI
- Optimise ELT, modelling, and workspace governance
- Strong experience with Azure and Microsoft Fabric
- Solid Synapse, ADF, ADLS, SQL, Python/PySpark
- Hands-on Power BI modelling and dataset expertise
- Experience in BI modernisation and migration projects
If this is a role that suits your skillset, can work onsite 3 days per week in Swindon and are immediately available, then please apply for the job advert directly or reach out.
Azure Data Engineer in Swindon employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the Azure and data engineering space. You never know who might have a lead on that perfect job or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, SQL, and Power BI. This will give potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common Azure Data Engineer questions. Practice explaining your past projects and how you've tackled challenges in data migration and modernisation.
✨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 Azure Data Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Microsoft Fabric. We want to see how your skills match the job description, so don’t be shy about showcasing your 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 the Azure Data Engineer role. Share specific examples of your work with SQL, Synapse, and Power BI to grab our attention.
Showcase Your Technical Skills: We’re looking for hands-on experience, so make sure to list your technical skills clearly. Highlight your expertise in Python/PySpark and any BI modernisation projects you've worked on. This will help us see your capabilities at a glance!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Azure Inside Out
Make sure you brush up on your Azure and Microsoft Fabric knowledge. Be ready to discuss your hands-on experience with Synapse, ADF, and ADLS. Prepare examples of how you've migrated SQL workloads or built data pipelines in the past.
✨Showcase Your BI Skills
Since this role involves transitioning from Tableau to Power BI, be prepared to talk about your experience with both tools. Bring specific examples of projects where you've modernised BI solutions and how you optimised ELT processes.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of Python/PySpark and data modelling. Practise explaining complex concepts in simple terms, as this will demonstrate your communication skills and ability to work with non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team's current challenges with the data platform modernisation or how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.