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- Tasks: Build and manage data pipelines using Azure technologies and design tailored solutions.
- Company: Leading Microsoft partner driving digital transformation across the UK.
- Benefits: Salary up to £60,000, remote work options, performance bonuses, and private healthcare.
- Other info: Flexible working environment with excellent training and career growth opportunities.
- Why this job: Join a people-focused consultancy and make a real impact with innovative data solutions.
- Qualifications: Experience with Azure services, SQL, Python/PySpark, and Power BI.
The predicted salary is between 60000 - 60000 £ per year.
I am working with a leading Microsoft partner that are currently recruiting for a Data Engineer to join their growing team. This organisation is driving digital transformation for a wide range of businesses across the UK, specialising in delivering innovative solutions using the Azure tech stack as well as emerging technologies like Microsoft Fabric. They are known for their consultative approach, working closely with clients to design tailored solutions that improve efficiency, enable self-sufficiency and accelerate growth. With a strong focus on scalable analytics and advanced business intelligence, they are modernising data platforms to deliver future‑ready solutions. This is a chance to join a genuinely people‑focused, high‑performing consultancy where you play a trusted role in delivering impactful projects. You will work with a talented, experienced and supportive team and enjoy true flexibility with options to work completely remotely or in office as and when you wish. With a culture built on inclusion and continuous development, this is an environment where your expertise is valued, your ideas are heard and your career can grow.
Responsibilities
- Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric
- Designing and maintaining data lakes, data warehouses, and ETL/ELT processes
- Developing scalable data models for reporting in Power BI
- Work closely with stakeholders to understand the needs of their individual business and designing tailored solutions to meet these needs
Qualifications
- Hands‑on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks
- Strong understanding of SQL and Python/PySpark
- Experience with Power BI and data modelling
- Commercial experience with Microsoft Fabric would be advantageous
Package & Role Details
- Salary up to £60,000
- Opportunity to work from anywhere within the UK
- Performance‑related bonus scheme
- Pension scheme and private healthcare options
- Enhanced family leave
- Opportunities for training and development, including certifications
This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Data Engineer in Wales employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Wales
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure services, SQL, and Power BI. We want to see your hands-on experience in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and Azure technologies. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals to join our team, so take that step and submit your CV today!
We think you need these skills to ace Data Engineer in Wales
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with Azure services, SQL, and Python/PySpark to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of projects you've worked on that align with our focus on innovative solutions.
Showcase Your Problem-Solving Skills: In your application, mention instances where you've tackled complex data challenges. We love seeing how you approach problems and design tailored solutions for clients!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s super easy, and we’ll be able to review your application quickly. We can’t wait to hear from you!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Azure services like Synapse, Data Factory, and Databricks. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the tech stack.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. This could involve designing data pipelines or optimising ETL processes. Highlighting your consultative approach will resonate well with the company's focus on tailored solutions.
✨Understand the Business Needs
Research the company and its clients to understand their industries and challenges. During the interview, demonstrate your ability to align technical solutions with business objectives, showing that you can work closely with stakeholders to deliver impactful results.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture, ongoing projects, and opportunities for professional development. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.