Analytics Engineer

Talentedge Recruitment Limited; Greater London; Hybrid; GBP 75,000 - 90,000; Full time

Benefits offered by this job

Competitive salary up to £90,000

Equity

Strong learning and development opportunities

Job summary

A leading fintech company is seeking an Analytics Engineer to enhance their data function. The role involves designing data models and pipelines, ensuring data quality, and providing insights for strategic decisions. Candidates should have 5–7+ years in analytics engineering, expert SQL skills, and experience with BI tools. This hybrid position offers a competitive salary of £75,000 - £90,000 plus equity and benefits while working in a collaborative, fast-paced environment.

Qualifications

• 5–7+ years in analytics engineering or data roles.
• Expert in SQL with strong data modelling experience.
• Experience with BI tools and dashboarding.

Responsibilities

• Build and maintain data models and pipelines.
• Ensure data quality through testing, monitoring, and best practices.
• Define and document key business and financial KPIs.
• Develop dashboards and reporting for stakeholders.
• Support strategic decision-making with data insights.
• Promote data best practices across the business.

Skills

Expert SQL

Data modelling

BI tools

Stakeholder management

Communication skills

Job description

Analytics Engineer

London (Hybrid – 3 days onsite) £75,000 - £90,000 + equity + benefits

Our client is a fast‑growing fintech in the global payments and trade space, focused on improving financial access in emerging markets. Backed by leading investors, they are scaling quickly and hiring an Analytics Engineer to take ownership of their data function. This is a high‑impact, cross‑functional role working closely with Finance, Product, Engineering, and leadership teams.

You will design and maintain scalable data models and pipelines, enabling accurate reporting and insights across the business. You’ll also act as a key partner to stakeholders, translating data into clear, actionable insights.

Key Responsibilities

• Build and maintain data models and pipelines
• Ensure data quality through testing, monitoring, and best practices (e.g., dbt)
• Define and document key business and financial KPIs
• Develop dashboards and reporting for various stakeholders
• Support strategic decision‑making with clear data insights
• Promote data best practices across the business

Candidate Profile

• 5–7+ years in analytics engineering or data roles
• Expert SQL and strong data modelling experience
• Experience with BI tools and dashboarding
• Strong stakeholder management and communication skills
• Comfortable working in fast‑paced, cross‑functional environments

Desirable

• Startup or high‑growth experience
• Experience with financial/product metrics (revenue, retention, LTV)
• Python or other programming languages
• Product‑focused mindset
• Additional languages (French particularly would be highly advantageous but not a necessity)

What’s on Offer

• Competitive salary up to £90,000 + equity
• Hybrid working (3 days onsite)
• High ownership and visibility
• Collaborative, fast‑paced environment
• Strong learning and development opportunities

Sound like you? Apply Now!