Snr. Data Engineer

Data Engineer

Location:London, Hybrid (minimum 2 days per week in office)
Type:Full-Time, Permanent
Reports to:Engineering Manager/ Lead Data Engineer
Salary:£55,000–£70,000 per annum

Due to the nature of our work, candidates must be eligible for Security Clearance.

Join Our Mission

At QuantSpark, we're transforming how data and AI serve society. Our team partners with forward-thinking organisations across multiple sectors to harness the power of analytics and artificial intelligence—creating meaningful impact that extends far beyond financial outcomes.

Our Impressive Client Portfolio

• Private Equity & Financial Services:We work with top-tier investment firms, global financial institutions, and leading wealth management companies, providing portfolio performance analytics, AI-powered value creation, and risk identification tools.
• Retail & Consumer:Our solutions help major national retailers, high-street brands, and premium consumer goods companies optimise inventory, enhance price competitiveness, and deliver personalised customer experiences.
• Asset Management:We build AI-powered investment decision support systems, alternative data integration platforms, and automated risk management solutions for prestigious asset management firms.
• Public Sector:We're trusted by multiple UK government departments and public sector organisations to deliver predictive maintenance systems, supply chain optimisation, and process automation.
• SaaS, Manufacturing & More:From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to complex challenges1.

We're seeking a talentedData Engineerwho's passionate about building robust data solutions and driving remarkable results for our clients.

Why You'll Love QuantSpark

• Work That Matters:Deliver high-impact data projects across diverse sectors—from helping private equity firms unlock value to optimising public sector supply chains. Your engineering will directly contribute to tangible, positive results.
• Tackle Exciting Challenges:Build technically complex data pipelines, analytics platforms, and automated solutions for household-name retailers, financial institutions, and government departments.
• Drive Innovation That Scales:Design and implement scalable data architectures and ETL/ELT processes that transform business operations for FTSE 100 companies and ambitious enterprises.
• Shape Our Growth Journey:As a scale-up with ambitious plans, you'll help define our data engineering practices, tooling, and team structure.
• Work Alongside Brilliant Minds:Collaborate with exceptionally talented colleagues from leading universities, top tech companies, and diverse industry backgrounds—all united by curiosity and a drive to solve meaningful problems.

Our Ways of Working

• Matrix Structure That Works:Enjoy a flexible matrix organisation balancing functional leadership with cross-project collaboration.
• Guild System for Excellence:Join specialist guilds to share knowledge, solve complex problems, and develop technical standards.
• Learning as a Core Practice:Participate in regular knowledge shares, workshops, and brainstorms. We dedicate time each month for learning and experimentation.
• Tangible Results Focus:See your work driving real business outcomes for prestigious clients.
• Scale-Up Influence:Your voice will directly shape our engineering practices and standards as we grow.

Your Impact as Data Engineer

• Build High-Performing Data Solutions:Design, develop, and maintain scalable data pipelines and architectures across our diverse client portfolio.
• Champion Data Quality:Implement best practices for data integrity, testing, and automation.
• Collaborate Across Teams:Work closely with analytics, software, and client teams to deliver robust, actionable datasets.
• Mentor and Share Knowledge:Support junior engineers and contribute to a culture of teaching, learning, and continuous improvement.
• Drive Technical Excellence:Advocate for engineering best practices, architecture principles, and quality standards that enable efficient delivery of exceptional solutions.

The Real Challenges You'll Help Us Solve

• Limited Resources, Critical Revenue:Balance business priorities and technical excellence within a lean, fast-paced team.
• High Standards at Pace:Deliver exceptional quality under time constraints and competing priorities.
• Competitive Talent Market:Help us attract and retain top talent in a rapidly growing field.
• Building While Flying:Contribute to evolving our processes and infrastructure as we scale.
• Rapidly Evolving Demands:Stay agile and innovative as technology and client needs shift.

Role Requirements

Technical Skills

• Substantial experience in data engineering, analytics engineering, or similar roles.
• Hands-on expertise with Python (Numpy/Pandas) and SQL.
• Proven experience designing and building robust ETL/ELT pipelines (dbt, Airflow).
• Strong knowledge of data pipelining, schema design, and cloud platforms (e.g., Snowflake, AWS).
• Excellent communication skills and the ability to translate technical concepts for diverse audiences.
• Familiarity with software architecture, containerisation, and modern DevOps practices is a plus.
• A forward-thinking mindset that embraces innovation and continuous improvement.

Collaboration & Growth

• Experience mentoring or supporting junior engineers.
• Strong team player with a collaborative approach to problem-solving.

Benefits

• £6,000 annual training & conference budgetto keep you at the cutting edge
• Up to 6% matched pensionfor your long-term security
• Comprehensive private healthcarethrough Vitality
• EMI Share Options schemeso you benefit directly from our growth
• Work from anywhere in the worldfor up to 1 month per year
• 25 days holiday+ flexibility to buy/sell up to 5 additional days
• Cycle to work scheme
• Engaging Central London officewith quality refreshments, regular team socials, and a vibrant atmosphere
• Exclusive discountson retail, travel, technology, and fitness memberships