Analytics Engineer

Title: Analytics Engineer
Reporting to: Engineering Manager / Lead Analytics Engineer
Compensation: £51,000-£55,000
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
We are looking for an Analytics Engineer to join our Analytics Engineering team. This role sits at the intersection of Data Analytics, Software Development, and Data Engineering. You’ll a pivotal role in designing complex data pipelines, managing data warehouses using tools like dbt and Airflow, and enabling predictive analytics solutions for our diverse group of clients.

As part of a consultancy, you’ll have the opportunity to work closely with technical and non-technical stakeholders to identify solutions for their key challenges. Internally, you will help our team adopt software engineering best practices while enabling Data Analysts and Developers to work more effectively.

Why This Role Excites Us

• Impactful Projects: Contribute to strategic projects that drive real-world impact across public and private sectors.
• Diverse Skillset: Develop expertise in data pipelines, architecture, and analytics while collaborating with developers on API design and software engineering tasks.
• Ownership & Innovation: Take ownership of complex data pipelines and contribute to shaping our company's future direction.
• Collaborative Culture: Work in a dynamic consultancy environment where creativity, autonomy, and teamwork are valued.
• Cutting-Edge Tools: Gain hands-on experience with leading tools like dbt, Airflow, Snowflake, and cloud platforms.

Key Responsibilities

• Design and manage data warehouses using SQL, NoSQL, and cloud platforms.
• Develop ETL/ELT pipelines using Airflow and dbt.
• Collaborate with stakeholders to deliver impactful solutions.
• Ensure data quality, security, and governance.

About You

• Experience in analytics or model/data engineering.
• Advanced Python skills (Numpy/Pandas).
• Strong SQL and relational database design expertise.
• Excellent communication skills. 

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.