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- Tasks: Lead data engineering projects and ensure top-notch data flow and integrity.
- Company: Dynamic financial services firm focused on B2B solutions.
- Benefits: Up to £100K salary, hybrid work, and excellent benefits.
- Why this job: Join a data-driven transformation and make a significant impact.
- Qualifications: Strong Python, SQL skills, and cloud data engineering experience required.
- Other info: Mid-senior level role with great career growth opportunities.
The predicted salary is between 60000 - 84000 £ per year.
Our client operates in the financial services sector, specialising in B2B solutions. We're looking for a Data Engineering Lead/Data Architect to join this growing team and take ownership of a critical area. Over the last 6 months, the business has shifted its roadmap with data now at the core of operations.
This role blends data engineering, business intelligence, and collaboration with the wider tech team. You'll help scale the data solution while ensuring data flow, integrity, and performance remain top-notch.
What you'll need:
- Strong experience with Python
- Advanced SQL and data modelling skills
- Proven track record in cloud data engineering (preferably Azure, but open to other platforms)
- Familiarity with BI and data visualisation practices
High Level details:
- Hybrid working – 1 office visit every two weeks (London)
- Salary up to £100K
- Great benefits and the chance to make a big impact in a data-driven transformation
Interested? Apply now to learn more.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting and Financial Services
Data Engineering Lead in London employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector or data engineering field. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving 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 cloud data engineering concepts, particularly Azure. Be ready to discuss how you've tackled data flow and integrity issues in past roles.
✨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 Data Engineering Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud data engineering. 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 passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working closely with the tech team, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you’ve made a difference in a group setting.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Corecom Consulting
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your past projects and how you've tackled data integrity and performance issues. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Cloud Experience
Since the role involves cloud data engineering, be prepared to talk about your experience with Azure or other platforms. Highlight specific examples where you’ve implemented cloud solutions and how they improved data flow or business intelligence.
✨Collaboration is Key
This position requires working closely with the tech team, so be ready to discuss how you’ve collaborated in the past. Share examples of how you’ve worked with cross-functional teams to achieve a common goal, especially in data-driven projects.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s data strategy, the challenges they face, and how this role contributes to their goals. This shows your genuine interest and helps you assess if it’s the right fit for you.
