Senior Analytics Engineer

Title: Snr. Analytics Engineer
Reporting to: Engineering Manager / Lead Analytics Engineer
Compensation: £55,000-£60,000
Type: Full time, Permanent

About QuantSpark

At QuantSpark we believe that every individual deserves access to a better life, enabled by economic prosperity that lifts society up. That's why we empower British businesses and government to harness the power of AI and data analytics, so they can create value for people, not just profits. By working with brave and ambitious organisations who share our vision, we're building a future where everyone can thrive.

QuantSpark transforms organisations through Analytics and AI. We supercharge high-value, complex processes to drive operational efficiency and profitability. As markets face greater disruption, QuantSpark empowers companies in realising their competitive advantage through data, strategic insight, and AI.

The Role
This is an exciting opportunity for an experienced Senior Analytics Engineer to lead technical work on projects, navigate complex client relationships, and deliver innovative data solutions. Sitting at the intersection of Data Analytics, Software Development, and Data Engineering, you’ll play a pivotal role in shaping QuantSpark’s approach to data-driven decision-making.

As a Senior Analytics Engineer, you’ll take ownership of designing scalable data pipelines, leading technical execution, and mentoring junior team members. You’ll also collaborate closely with clients to understand their needs and deliver impactful solutions—all while driving innovation in analytics engineering practices.

What You’ll Own

• Technical Leadership: Lead the design and implementation of robust data pipelines using tools like dbt and Airflow.
• Client Collaboration: Build strong relationships with stakeholders to identify challenges and deliver tailored solutions.
• Data Excellence: Transform raw data into actionable datasets for predictive analytics and SaaS products.
• Innovation: Explore new ways of working with data, ensuring high-quality outputs through automation and testing frameworks.
• Mentorship: Coach junior team members and champion best practices in software engineering and analytics.

What You Bring

• Extensive experience in analytics engineering or model/data engineering roles.
• Advanced Python coding skills (Numpy/Pandas) and SQL expertise.
• Proven ability to lead technical workstreams and mentor other engineers.
• Strong communication skills to navigate client relationships and translate technical insights into business value.
• Experience with cloud platforms (e.g., Snowflake, AWS) and ETL/ELT pipeline tools like Airflow/dbt.

Benefits

• £6,000 per annum training & conference budget to help you up-skill and elevate your career
• Pension contribution scheme (up to 6% matched)
• Top-tier Private Healthcare with Vitality
• Numerous, perks, discounts, and rewards with major retailers, gym memberships, technology, and travel partners
• Generous EMI Share Options scheme
• Ability to work from abroad for up to one month each year
• 25 days of annual leave (plus bank holidays, and the ability to buy & sell up to 5 extra days)
• Cycle to work scheme
• Plenty of socials, dinners, and fun nights out
• A fully stocked supply of premium breakfast, fruit, and refreshments in the office

Equal Opportunities

QuantSpark is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, gender, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.