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- Tasks: Lead data engineering and architecture, ensuring top-notch data flow and performance.
- Company: Join a growing financial services firm focused on B2B solutions and data-driven transformation.
- Benefits: Enjoy hybrid work, a salary up to £100K, and great perks.
- Why this job: Make a significant impact in a data-centric role within a collaborative tech team.
- Qualifications: Strong Python, advanced SQL, cloud data engineering experience, and BI familiarity required.
- Other info: Only one office visit every two weeks in London.
The predicted salary is between 60000 - 84000 £ per year.
Data Engineering/Data Architect Lead – Hybrid (1 day every 2 weeks in London) – Up to £100K
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
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Data Engineering Lead employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and architecture, especially within the financial services sector. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who work in B2B solutions or financial services. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Brush up on your Python and SQL skills by working on personal projects or contributing to open-source initiatives. Demonstrating your technical abilities through practical examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms, particularly Azure, as well as your approach to ensuring data integrity and performance. Be ready to share specific examples of how you've tackled challenges in these areas.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineering Lead position. Familiarise yourself with key terms like data engineering, business intelligence, and cloud platforms such as Azure.
Tailor Your CV: Customise your CV to highlight relevant experience in Python, SQL, and cloud data engineering. Use specific examples that demonstrate your skills in data modelling and BI practices to align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your ability to lead projects. Mention how your previous experiences have prepared you for this role and how you can contribute to the company's data-driven transformation.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Corecom Consulting
✨Showcase Your Technical Skills
Make sure to highlight your strong experience with Python and advanced SQL during the interview. Be prepared to discuss specific projects where you've successfully implemented these skills, as this will demonstrate your capability in data engineering.
✨Discuss Cloud Experience
Since the role requires cloud data engineering experience, particularly with Azure, be ready to talk about your familiarity with cloud platforms. Share examples of how you've utilised cloud services to enhance data solutions and ensure data integrity.
✨Emphasise Collaboration
This position involves working closely with the wider tech team, so it's important to convey your ability to collaborate effectively. Prepare examples of past experiences where teamwork led to successful outcomes in data projects.
✨Prepare for Business Intelligence Questions
Given the focus on BI and data visualisation practices, brush up on your knowledge in these areas. Be ready to discuss how you've used BI tools to drive insights and improve decision-making processes in previous roles.