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For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines using Azure technologies.
- Company: Leading international professional services firm with a focus on innovation.
- Benefits: Salary up to £72k, hybrid working, and inclusive culture.
- Why this job: Join a collaborative team and make an impact on data-driven decisions.
- Qualifications: 4+ years in Azure data engineering and strong technical skills.
- Other info: Diverse environment with opportunities for personal and professional growth.
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
Contact Detail:
Recann Recruiting Team
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. We all know that sometimes it’s not just what you know, but who you know that can land you that Azure Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Synapse Analytics. We want to see your work in action, so don’t be shy about sharing it during interviews or on your LinkedIn profile.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, SQL, and data modelling skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly and show their enthusiasm for joining our team.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Azure Synapse Analytics, and any relevant programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your 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 team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool projects involving data pipelines or ELT/ETL processes, make sure to mention them. We’re keen to see real-world examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Recann
✨Know Your Azure Stuff
Make sure you brush up on your Azure Data Factory, Azure Data Fabric, and Azure Synapse Analytics skills. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Experience
Prepare to talk about your experience building and maintaining data pipelines. Have examples ready that highlight your ability to create scalable solutions and ensure data consistency and security, especially in relation to GDPR compliance.
✨Collaboration is Key
Since this role involves working with various teams like IT, Finance, and Marketing, be prepared to discuss how you've successfully collaborated in the past. Share examples of how you’ve delivered solutions through teamwork and communication.
✨Certifications and Continuous Learning
If you have any Azure certifications, make sure to mention them! Even if you don’t, express your commitment to continuous learning in the field. Talk about any courses or resources you’re currently exploring to stay updated with the latest trends in data engineering.
