At a Glance
- Tasks: Lead the analytics team and shape our data architecture for smarter business decisions.
- Company: Join a fast-growing e-commerce company focused on leveraging data for impactful insights.
- Benefits: Enjoy a fully remote role with flexible hours and a competitive salary plus equity.
- Why this job: Be at the forefront of data innovation in a supportive, growth-oriented environment.
- Qualifications: 4+ years in analytics or data engineering, with strong skills in Snowflake, dbt, and Python.
- Other info: This is a permanent, full-time position for UK residents with work eligibility.
The predicted salary is between 80000 - 90000 £ per year.
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This range is provided by Infused Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Infused Solutions
Position: Lead Analytics Engineer
Location: Remote (UK only)
Salary: £80,000 – £90,000 per annum plus equity
Employment Type: Permanent, Full-Time
Work Authorisation: Candidates must reside in the UK and have existing work eligibility. Sponsorship is not available.
About Us
Position: Lead Analytics Engineer
Location: Remote (UK only)
Salary: £80,000 – £90,000 per annum plus equity
Employment Type: Permanent, Full-Time
Work Authorisation: Candidates must reside in the UK and have existing work eligibility. Sponsorship is not available.
About Us
We\’re a fast-growing, product-focused e-commerce business investing heavily in data to power smarter decisions across the company. With data becoming a core enabler for everything from product development to marketing performance, we\’re looking for a Lead Analytics Engineer to take the reins of our modern data platform and lead the next phase of our analytics maturity.
Role Overview
This is a senior, strategic role for someone who enjoys balancing technical execution with team leadership. You\’ll be responsible for shaping our data architecture, managing a small but growing team of analytics engineers, and working closely with stakeholders across the business to ensure data is accurate, actionable, and accessible at scale.
Key Responsibilities
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Data Platform Strategy: Define and maintain the long-term roadmap for our analytics engineering infrastructure, CI/CD pipelines, and tooling standards.
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Pipeline Development: Architect and maintain high-performance data pipelines using dbt and Snowflake, optimised for scale, cost, and usability.
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Team Leadership: Manage and mentor a team of analytics engineers. Conduct code reviews, set technical objectives, and promote engineering best practices.
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Stakeholder Collaboration: Work closely with teams across Product, Marketing, and Analytics to prioritise and deliver on key data initiatives.
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BI & Data Accessibility: Drive the adoption and governance of ThoughtSpot (and other BI tools), ensuring users can confidently self-serve data.
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Data Governance: Own systems for monitoring, testing, and validation to maintain trust in the data and catch issues early.
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Cloud Infrastructure: Leverage AWS services (S3, Glue, Lambda, etc.) and Python scripting to orchestrate and automate data workflows.
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Innovation & Improvement: Continually explore and implement tools and processes that improve scalability, developer productivity, and data usability.
What You Bring
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Relevant Experience: 4+ years in analytics or data engineering, ideally with exposure to e-commerce or digital product environments.
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Technical Expertise: Deep hands-on experience with Snowflake and dbt. Strong SQL skills and experience optimising complex transformations.
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Programming Proficiency: Comfortable with Python for automation, integration, and data orchestration.
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Cloud Savvy: Solid understanding of modern cloud data infrastructure, especially within AWS.
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Team Leadership: Experience mentoring and managing engineers in a fast-paced environment.
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Communication Skills: Able to clearly communicate with both technical and non-technical stakeholders.
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BI Familiarity: Comfortable working with tools like ThoughtSpot, Looker, or Tableau and supporting a self-service analytics culture.
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Process Orientation: You value strong documentation, scalable solutions, and consistent engineering standards.
What We Offer
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A fully remote position within the UK with flexible hours
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The opportunity to lead and shape the data function of a growing, data-driven company
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A salary of £80,000-£90,000 depending on experience
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Supportive, fast-paced team environment with plenty of room for growth
Apply Now
If you\’re an experienced analytics engineer ready to take ownership of a modern data platform-and you\’re UK-based with full work eligibility-we\’d love to hear from you.
Desired Skills and Experience
Position: Lead Analytics Engineer
Location: Remote (UK only)
Salary: £80,000 – £90,000 + Equity
Employment Type: Permanent, Full-Time
Work Authorisation: Candidates must reside in the UK and have exi
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Job function
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Industries
Data Infrastructure and Analytics
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Lead Analystics engineer - Perm- UJK Remote 90K employer: Infused Solutions
Contact Detail:
Infused Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analystics engineer - Perm- UJK Remote 90K
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake and dbt. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams or projects in the past. Be ready to discuss your approach to mentoring and promoting best practices within a team.
✨Tip Number 3
Network with current employees or professionals in similar roles through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your understanding of data governance and BI tools. Being able to articulate how you would ensure data accuracy and accessibility will demonstrate your strategic thinking and alignment with the company's goals.
We think you need these skills to ace Lead Analystics engineer - Perm- UJK Remote 90K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics and data engineering, particularly with tools like Snowflake and dbt. Emphasise any leadership roles you've held and your ability to mentor others.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Discuss how your skills align with the company's goals and mention specific projects or achievements that demonstrate your expertise.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in SQL, Python, and cloud infrastructure, as well as any experience with BI tools like ThoughtSpot or Tableau.
Highlight Team Leadership Experience: Since this role involves managing a team, be sure to highlight any previous experience you have in leading teams, conducting code reviews, and promoting best practices in engineering.
How to prepare for a job interview at Infused Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Snowflake and dbt. Highlight specific projects where you optimised data pipelines or transformed complex datasets, as this will demonstrate your technical proficiency.
✨Emphasise Team Leadership Skills
Since the role involves managing a team of analytics engineers, share examples of how you've successfully mentored others. Discuss your approach to conducting code reviews and setting technical objectives to show your leadership style.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in simple terms, as you'll need to collaborate with both technical and non-technical teams. Prepare to give examples of how you've effectively communicated data insights to drive business decisions.
✨Demonstrate Process Orientation
Discuss your commitment to strong documentation and scalable solutions. Be ready to talk about how you ensure consistent engineering standards and how this has positively impacted previous projects.