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- Tasks: Lead the development of modern data platforms and implement best practices in analytics engineering.
- Company: Join a forward-thinking company investing in cutting-edge technology and data solutions.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Be part of a dynamic environment focused on innovation and continuous improvement.
- Why this job: Shape the future of data engineering and influence a growing team during an exciting transformation.
- Qualifications: Proven experience in data engineering with expertise in Python, AWS, and modern data practices.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Lead Analytics Engineer to join a major CRM migration programme and help shape the future of a growing modern data function. Someone who can come in, raise engineering standards, implement best practices, and show the existing team what “good” looks like in a modern data environment.
You’ll be joining at a genuinely exciting stage: the business is investing heavily in new technology and modernizing its data platform from the ground up.
- Python
- AWS
- Power BI
Responsibilities include:
- Designing, developing, and evolving scalable Data Warehouse and ELT solutions
- Driving modern DataOps practices including CI/CD, GitOps, testing, and automation
- Implementing robust, observable, and high-quality data pipelines
Requirements:
- Proven Lead-level Data/Analytics Engineering experience
- Strong expertise with Snowflake, dbt, Python, and AWS
- Deep understanding of software engineering best practices within data environments
- Strong experience with Data Observability and Data Quality frameworks
- Experience working in modern, mature data environments
- Exposure to data products
- Experience with data cataloguing/discovery tools
- Strong Agile and continuous improvement mindset
This is an ideal opportunity for someone who enjoys building modern data platforms the right way — influencing engineering culture, tooling, and delivery standards at a critical stage of growth.
Lead data analytics engineer in City of London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead data analytics engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a Lead Analytics Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Python, AWS, and data pipelines. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Stay updated with industry trends! Follow relevant blogs, podcasts, and forums to keep your knowledge fresh. This will not only help you in interviews but also show that you're genuinely passionate about the field.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate and find the right role for you.
We think you need these skills to ace Lead data analytics engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Analytics Engineer role. Highlight your expertise in Python, AWS, and data engineering best practices to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this opportunity. Share specific examples of how you've raised engineering standards or implemented DataOps practices in previous roles.
Showcase Your Projects: If you’ve worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, ELT solutions, or any modern data environments to give us a taste of your capabilities.
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 during the process!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, AWS, and Power BI. Brush up on your knowledge of Snowflake and dbt too, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss specific projects where you've implemented DataOps practices or built scalable data solutions. Use examples that highlight your leadership skills and how you've raised engineering standards in previous roles.
✨Understand the Business Context
Research the company’s current data initiatives and their CRM migration programme. Being able to speak about how your skills can directly contribute to their goals will show that you’re genuinely interested and invested in their success.
✨Ask Insightful Questions
Prepare thoughtful questions about their data culture, tooling, and the challenges they face. This not only demonstrates your interest but also gives you a chance to assess if the role aligns with your career aspirations.