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- Tasks: Modernise cloud data platforms and build robust data pipelines.
- Company: Join Henderson Scott's innovative digital team in Chiswick.
- Benefits: Enjoy a competitive salary of £70,000 and a hybrid working model.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make an impact by scaling cutting-edge data solutions with Azure.
- Qualifications: Experience with Azure Synapse, PySpark, Python, and SQL required.
The predicted salary is between 70000 - 70000 £ per year.
Henderson Scott is seeking a Data Engineer to join their growing digital team in Chiswick, UK. This role focuses on modernising and scaling cloud-based data platforms, building robust data pipelines, and reverse engineering data structures.
Candidates should have strong hands-on experience with:
- Azure Synapse
- Programming skills in PySpark, Python, SQL
A collaborative mindset is essential. The position offers a hybrid working model, allowing 2–3 days in the office per week, with a competitive salary of £70,000 per annum.
Data Engineer - Azure Data Platform & Pipeline Architect employer: Henderson Scott
Contact Detail:
Henderson Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure Data Platform & Pipeline Architect
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Henderson Scott on LinkedIn. A friendly chat can give us insider info and maybe even a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Azure Synapse, PySpark, and Python. This will help us demonstrate our hands-on expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get together with a friend or mentor to do mock interviews. Focus on common data engineering questions and how we can articulate our collaborative mindset.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight our relevant skills for the Data Engineer role.
We think you need these skills to ace Data Engineer - Azure Data Platform & Pipeline Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Synapse, PySpark, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your collaborative mindset fits with our team culture at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to building robust data pipelines.
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 Henderson Scott
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Synapse, PySpark, Python, and SQL skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've built robust data pipelines or modernised data platforms in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Emphasise Collaboration
Since this role requires a collaborative mindset, think of examples where you've worked effectively in a team. Be ready to discuss how you communicate with others and resolve conflicts, especially in a hybrid working environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.