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- Tasks: Lead and modernise data engineering practices while mentoring a small team.
- Company: Global organisation in Watford with a focus on innovation.
- Benefits: Competitive daily rate, hybrid working, and potential for contract extension.
- Why this job: Make a real impact by optimising Azure Synapse pipelines and leading a talented team.
- Qualifications: Strong experience in data engineering and expertise in Azure Synapse required.
- Other info: Dynamic role with opportunities for professional growth and hands-on delivery.
Global organisation in Watford is seeking a hands-on Lead Data Engineer to review and modernise their data engineering practice. You will consolidate pipelines, implement best practices, and lead a small team while remaining actively involved in delivery.
3-month contract with a strong chance of extension.
What you’ll do:
- Build and optimise Azure Synapse pipelines and integrations
- Apply Lakehouse / ADLS Gen2 patterns and medallion architecture
- Lead and mentor engineers while delivering hands-on
- Ensure secure, scalable, production-ready engineering
- Coding across SQL, Python, CI/CD, DevOps
You’ll need:
- Experience in data engineering, including strong expertise in Azure Synapse
- Experience stabilising/modernising live platforms
- Strong SQL, Python, performance tuning, and security focus
- Exposure to multiple source systems (Finance, CRM, ERP)
Hybrid working (2-3 days onsite), competitive rate, outside IR35.
Apply now or contact Andy Weir at Cathcart Technology.
Cathcart Technology is acting as an Employment Business in relation to this vacancy.
Lead Data Engineer - Azure Synapse in Watford employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Azure Synapse in Watford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Azure Synapse. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Azure Synapse. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've optimised pipelines or implemented best practices in past roles. We want to see your hands-on experience shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer - Azure Synapse in Watford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Synapse and data engineering. We want to see how you've modernised platforms and optimised pipelines, so don’t hold back on those details!
Showcase Your Skills: When writing your application, emphasise your coding skills in SQL and Python. We’re looking for someone who can deliver hands-on, so give us examples of your work that demonstrate your expertise.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure you communicate your experience and achievements without unnecessary fluff.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Cathcart Technology
✨Know Your Azure Synapse Inside Out
Make sure you brush up on your Azure Synapse knowledge before the interview. Be ready to discuss your experience with building and optimising pipelines, as well as any specific projects where you've implemented Lakehouse or ADLS Gen2 patterns.
✨Showcase Your Leadership Skills
Since this role involves leading and mentoring a small team, prepare examples of how you've successfully led teams in the past. Think about challenges you've faced and how you helped your team overcome them while remaining hands-on in delivery.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into your technical skills, especially in SQL and Python. You might be asked to solve a problem on the spot, so practice coding challenges related to performance tuning and security focus to showcase your abilities.
✨Understand the Business Context
Familiarise yourself with the types of source systems mentioned in the job description, like Finance, CRM, and ERP. Being able to discuss how your data engineering work can impact these areas will show that you understand the bigger picture and can add value to the organisation.
