Senior Analytics Engineer
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Senior Analytics Engineer
Location: London, Hybrid (minimum 2 days per week in office)
Type: Full-Time, Permanent
Reports to: Engineering Manager
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.
We're seeking an Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients.
Why You'll Love QuantSpark
- Work That Matters: Lead high-impact analytics projects across diverse sectors, from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.
- Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments.
Your Impact as an Analytics Engineer
- Lead Technical Delivery: Own end-to-end technical execution of analytics projects, from initial data exploration through to production deployment. You'll architect robust data pipelines that transform messy real-world data into reliable, business-ready datasets.
- Drive Data Excellence: Champion analytics engineering best practices, implementing automated testing frameworks, data quality monitoring, and documentation standards that ensure our solutions are production-ready and maintainable.
The Real Challenges You'll Help Us Solve
We believe in transparency about the realities of joining a scale-up consultancy:
- Complex, Messy Data: Real client data is rarely clean or well-structured. You'll need creativity and technical skill to build robust pipelines that handle edge cases, missing data, and evolving schemas while maintaining data quality.
- Diverse Technical Stacks: Each client brings different tools and constraints. You'll work across various cloud platforms, databases, and analytics tools, requiring adaptability and continuous learning.
- Balancing Speed and Quality: Clients need results quickly, but our reputation depends on delivering robust, scalable solutions. You'll help teams maintain engineering excellence under time pressure.
- Building While Flying: Unlike established enterprises, we're still developing some of our data engineering standards and practices. You'll help shape these systems while navigating some ambiguity.
The right candidate will see these challenges as energising opportunities to create outsized impact in a growing organisation.
Role Requirements
Technical Expertise
- 5+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines
- Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms
- Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift)
- Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines
- Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices
Leadership & Communication
- Strong communication skills with ability to explain complex technical concepts to both technical and non-technical stakeholders
What Success Looks Like in Your First Year
- Technical Impact: Successfully contribute to analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients
- Quality Leadership: Utilise data quality frameworks and testing practices that become standard across our analytics teams
- Client Relationships: Interact with key technical stakeholders at major clients, becoming a trusted contributor to their data strategy outcomes
- Innovation Contribution: Research and evaluate new tools, practices, or methodologies that improve our team's efficiency and solution quality
Benefits
- £6,000 annual training & conference budget to keep you at the cutting edge of analytics engineering
- Up to 6% matched pension for your long-term security
Equal Opportunities
We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.