At a Glance
- Tasks: Build and maintain scalable data pipelines on Azure for data-driven decision-making.
- Company: Leading international professional services firm with a focus on innovation.
- Benefits: Up to £72k salary, 10% bonus, hybrid working, and inclusive culture.
- Other info: Diverse and inclusive environment with excellent career growth opportunities.
- Why this job: Join a collaborative team and make an impact in optimising data infrastructure.
- Qualifications: 4+ years in Azure data engineering and strong skills in relevant technologies.
The predicted salary is between 43200 - 72000 £ per year.
Recann is recruiting on behalf of a leading international professional services firm seeking a skilled and proactive Azure Data Engineer to join its collaborative Data team. This role will be at the forefront of optimising the organisation’s data infrastructure on Microsoft Azure, enabling data-driven decision-making and supporting critical business functions.
What you’ll be doing:
- Building and maintaining scalable data pipelines using Azure Data Factory, Azure Data Fabric, and Azure Synapse Analytics.
- Developing robust ELT/ETL processes to integrate data from multiple business systems.
- Ensuring data consistency, security, and compliance (including GDPR).
- Supporting analytics/reporting teams with clean, structured datasets.
- Collaborating with IT, Finance Systems, Marketing, and other business areas to deliver solutions.
What we’re looking for:
- 4+ years’ experience in Azure data engineering.
- Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database.
- Proficiency in Python, PySpark, SQL, or Scala.
- Data modelling and relational database expertise.
- Azure certifications highly desirable.
- Power BI experience a bonus (but not essential).
Why join?
- Join a forward-thinking organisation that values innovation and collaboration.
- Hybrid working model (60% office / 40% remote).
- Salary up to £72k plus benefits.
- Inclusive culture with a genuine focus on people and responsible business practices.
Recann is committed to fostering a diverse and inclusive environment. We welcome applications from all qualified individuals, regardless of background, identity, or circumstance. If you require any adjustments to the recruitment process, please let us know.
Azure Data Engineer employer: Recann
Recann is an exceptional employer for aspiring IT & Digital Recruitment Consultants, offering a vibrant work culture in the heart of Manchester. With competitive salaries, uncapped commission, and structured training programmes, employees are empowered to grow their careers while building meaningful relationships in the tech industry. The supportive environment fosters personal development and success, making it an ideal place for those looking to thrive in recruitment.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Synapse Analytics. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or solving data-related problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with Azure Data Factory, Azure Synapse Analytics, 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 your experience with ELT/ETL processes and collaboration with different business areas.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in Python, SQL, or Scala. We love seeing specific examples of how you've used these skills in past roles. This will help us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Recann
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Azure Data Factory, Azure Data Fabric, and Azure Synapse Analytics. 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 Coding Skills
Since proficiency in Python, PySpark, SQL, or Scala is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data engineering tasks and be ready to explain your thought process.
✨Understand Data Compliance
Familiarise yourself with data consistency, security, and compliance, especially GDPR. Be prepared to discuss how you’ve ensured data integrity in previous roles and how you would approach compliance in this new position.
✨Collaborate and Communicate
This role involves working with various teams, so highlight your collaboration skills. Think of examples where you successfully worked with IT, Finance, or Marketing to deliver solutions. Good communication can set you apart from other candidates!
