At a Glance
- Tasks: Design and enhance data infrastructure while building data pipelines.
- Company: Join Manchester Digital, a leader in innovative data solutions.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for growth.
- Other info: Collaborate with diverse teams in a dynamic work environment.
- Why this job: Make a real impact on data solutions using cutting-edge tools.
- Qualifications: Experience with Azure, Databricks, and strong Python skills.
The predicted salary is between 55000 - 70000 € per year.
Manchester Digital is looking for a Senior Data Engineer to design and improve the IPO's data infrastructure. This is a hands-on role focused on building data pipelines and optimizing data services. The successful candidate will collaborate with multidisciplinary teams, utilizing tools like Azure Data Factory and Python to enhance data solutions. This position follows a hybrid work model, balancing home working with time at the Newport office.
Senior Data Engineer - Hybrid (Azure & Databricks) employer: Manchester Digital
At Manchester Digital, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility, enabling you to balance home working with time in our Newport office, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career in the dynamic field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid (Azure & Databricks)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Manchester Digital on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Azure and Databricks. This hands-on demonstration can really set us apart from the crowd.
✨Tip Number 3
Be ready for the tech talk! Brush up on your knowledge of data pipelines and optimisation techniques. We want to impress them with our understanding during the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Senior Data Engineer - Hybrid (Azure & Databricks)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure and Databricks. We want to see how you've designed data pipelines and optimised data services in previous roles, so don’t hold back on those details!
Showcase Your Skills:In your cover letter, let us know about your hands-on experience with tools like Azure Data Factory and Python. We’re keen to see how you’ve collaborated with teams to enhance data solutions, so share some examples!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Manchester Digital
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory and Databricks. Brush up on your Python skills too, as they’ll likely ask you to demonstrate your ability to build data pipelines. Familiarity with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Collaboration Skills
Since this role involves working with multidisciplinary teams, be prepared to discuss past experiences where you’ve successfully collaborated with others. Highlight specific projects where teamwork led to improved data solutions, as this will resonate well with the interviewers.
✨Prepare for Hands-On Challenges
Expect some practical assessments during the interview. Practice building a simple data pipeline or optimising a data service beforehand. This will not only boost your confidence but also demonstrate your hands-on capabilities in real-time.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
