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- Tasks: Lead the development of a Data Engineering practice and design databases in Azure.
- Company: Global investment firm with a rapidly growing Data Practice.
- Benefits: Competitive salary of £170k, flexible office days, and career growth opportunities.
- Why this job: Join a dynamic team and make an impact in the investment sector.
- Qualifications: Experience in Python, Spark, SQL, and Azure DevOps required.
- Other info: Work in a collaborative environment with a focus on innovation.
The predicted salary is between 102000 - 238000 £ per year.
Position: Azure Data Engineering Lead (Investment Platform)
Salary: £170k per annum
Industry: Investment firm
Workplace: 1-2 days a week in the office, Central London
Our client is a global investment/pensions firm in the city of London. If you are able to lead the development of a Data Engineering practice, design and implement databases and collections systems, specifically in an Azure DevOps environment, then this is the ideal next step for you.
Tech environment:
- Python
- Spark
- SQL
- Agile practices
- Enterprise experience building data pipelines and data warehouses
- Azure DevOps - CI/CD pipelines
- Azure Cloud Synapse and ADF, ADB
You will be joining a global pensions and investment firm and a Data Practice that is growing exponentially, here in the UK and Australia.
If this is good timing and you are keen to see the full position description, please do get in touch. You can send your CV to matt@hawksworthuk.com or message me on LinkedIn.
I look forward to hearing from you.
Azure Data Engineering Lead (Investment Platform) - £170k in London employer: Hawksworth
Contact Detail:
Hawksworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineering Lead (Investment Platform) - £170k in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at investment firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure DevOps, Python, and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with Agile practices and building data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Azure Data Engineering Lead (Investment Platform) - £170k in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure DevOps, Python, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Azure Data Engineering Lead role. We love seeing passion and enthusiasm, so let your personality come through.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. We want to know how you’ve made an impact in previous roles, especially in building data pipelines and warehouses.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hawksworth
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Spark, and SQL. Brush up on your Azure DevOps knowledge, especially around CI/CD pipelines, as this will likely come up during the interview.
✨Showcase Your Leadership Skills
As a lead role, they’ll want to see how you can guide a team. Prepare examples of past experiences where you’ve successfully led projects or teams, particularly in data engineering or similar environments.
✨Understand Agile Practices
Since the company values Agile methodologies, be ready to discuss how you’ve implemented Agile practices in your previous roles. Think of specific instances where Agile has improved project outcomes.
✨Prepare Questions About the Company
Demonstrate your interest by preparing insightful questions about the firm’s data practice and future projects. This shows that you’re not just interested in the role, but also in how you can contribute to their growth.
