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- Tasks: Shape and scale our analytics platform while building robust data foundations.
- Company: Fast-growing financial technology business with a focus on innovation.
- Benefits: Competitive salary, high degree of remote work, and career development opportunities.
- Why this job: Make a real impact by evolving a cloud-based data environment for insightful decision-making.
- Qualifications: Experience in data engineering, Azure services, and strong SQL skills required.
- Other info: Collaborative environment with opportunities to work across teams and enhance your skills.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing financial technology business is expanding its data capability and is looking for an experienced data professional to help shape and scale its analytics platform. This role is ideal for someone who enjoys building robust data foundations and wants greater exposure to solution design and platform architecture.
You will be instrumental in evolving a cloud-based data environment, enabling reliable reporting, analytics, and downstream decision-making across the organisation. Working alongside product teams, engineers, and business users, you will translate complex requirements into resilient, high-performing data solutions.
Core responsibilities:- Own the reliability and performance of data platforms used for insight and reporting.
- Partner with technical and non-technical stakeholders to define data requirements and delivery outcomes.
- Create and manage automated data pipelines to ensure timely, accurate data availability.
- Develop and maintain database objects, schemas, and data models.
- Diagnose data quality issues and implement long-term fixes.
- Apply best practices around security, governance, and deployment.
- Commercial experience in data engineering roles (mid-senior level).
- Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL.
- Experience using Databricks and Python in data processing workflows.
- Strong SQL skills and practical knowledge of dimensional modelling and warehouse design.
- Familiarity with CI/CD approaches for data and analytics solutions.
- Confident communicator with the ability to work across teams.
This role is UK-based, offers a high degree of remote working, and comes with a salary of up to £80,000 to £90,000 depending on experience.
Lead Data Platform Engineer in London employer: ARC IT Recruitment Ltd
Contact Detail:
ARC IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure data services or Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Be ready to discuss how you've tackled data quality issues in the past and how you can apply best practices in security and governance.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Platform Engineer. Highlight your experience with Azure data services, Databricks, and Python, as these are key for us. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building robust data foundations and how you can contribute to our analytics platform. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Share specific examples that demonstrate your hands-on expertise in data engineering and your ability to partner with both technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ARC IT Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on your knowledge of Azure data services, Databricks, and Python. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on expertise and help you stand out.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've diagnosed data quality issues and implemented long-term fixes. This is crucial for the role, so having specific scenarios ready will demonstrate your ability to tackle challenges effectively.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. This will highlight your communication skills and your ability to bridge gaps between teams.
✨Understand the Business Impact
Be prepared to discuss how your work in data engineering can drive business outcomes. Think about how reliable reporting and analytics can influence decision-making across the organisation, and be ready to share your insights.
