Analytics Engineer

Analytics Engineer Location: London, Hybrid (minimum 2 days per week in office)Type: Full-Time, PermanentReports 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. 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 challenges. We're seeking an experienced 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. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you'll help define our analytics engineering practices, tooling choices, and data architecture patterns that will serve as the foundation for our continued growth. Work Alongside Brilliant Minds: Collaborate with exceptionally talented colleagues who bring diverse expertise from leading universities, top tech companies, and varied industry backgrounds—all united by intellectual curiosity and a drive to solve meaningful problems. 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. Mentor Rising Talent: Guide junior analytics engineers and data scientists, sharing your expertise in pipeline design, SQL optimisation, and Python development. You'll help build the next generation of analytics engineering talent at QuantSpark. Shape Client Solutions: Work directly with clients to understand their business challenges and translate requirements into technical solutions. Innovate with Purpose: Explore cutting‑edge approaches to analytics engineering, from modern data stack implementations to MLOps practices, ensuring QuantSpark stays at the forefront of the industry. 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. Competitive Analytics Market: With data engineering roles growing 20% year‑over‑year, you'll help us stay competitive by developing cutting‑edge capabilities while mentoring talent in high demand. The right candidate will see these challenges as energising opportunities to create outsized impact in a growing organisation. Role Requirements Technical Expertise 2+ 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 Experience with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional communication skills with ability to explain complex technical concepts to both technical and non‑technical stakeholders Experience working directly with clients or business stakeholders to gather requirements and present solutions Strong project management skills with ability to balance multiple priorities and deliver on time Collaborative mindset with experience working in cross‑functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real‑time streaming data processing (Kafka, Kinesis) Background in consulting or client‑facing technical roles Contributions to open‑source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully deliver analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients Quality Leadership: Establish data quality frameworks and testing practices that become standard across our analytics teams Client Relationships: Build strong relationships with key technical stakeholders at major clients, becoming a trusted advisor for their data strategy Innovation Contribution: Introduce 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 Comprehensive private healthcare through Vitality EMI Share Options scheme so you benefit directly from our growth Work from anywhere in the world for up to 1 month per year 25 days holiday + flexibility to buy/sell up to 5 additional days Sustainable commuting support through our cycle to work scheme Engaging Central London office environment with quality refreshments, regular team socials, and a vibrant atmosphere Exclusive discounts on retail, travel, technology, and fitness memberships Access to cutting‑edge analytics tools and platforms Regular tech talks, knowledge sharing sessions, and innovation time Equal Opportunities We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger—both as people and as a business. All qualified applicants will be considered without regard to sex, sexual orientation, marital status, race, nationality, religion, disability, or age. #J-18808-Ljbffr