
Analytics Engineer
- London
- Permanent
- Full-time
- Develop diverse technical skills: this unique opportunity allows you to build expertise across data science, analytics and engineering, blending these disciplines into a highly valuable skill set.
- Collaboration with experts: work closely with scientists, analysts and engineers with the team, gaining hands-on experience with the tools techniques and best practices from each field
- Engage with global stakeholders: as part of a large organisation, you will interact with stakeholders worldwide, handling a variety of dynamic and complex requirements that broaden your understanding of business challenges.
- Seek multidisciplinary tasks: take on a variety of projects that combine the roles of scientist, analyst and engineer, offering a diverse and rewarding work experience.
- Help build a large-scale data product: be part of developing a sustainable, scalable data product, enhancing your ability to design and build solutions that meet both current and future needs.
- Master modern software development techniques: hone your skills in software development practices including CI/CD, Agile development, version control with Git, automated testing, code reviews, and cloud computing.
- Bachelor’s or master’s degree in computer science, mathematics, statistics, economics, or other quantitative fields.
- Minimum 5+ years of experience as a Data Engineer, Analyst or similar role.
- Strong ability to analyse large datasets and transform them into actionable insights.
- The ability to break down complex problems into manageable components and approach solutions methodically.
- Familiarity with handling data integrity and quality issues.
- Advanced proficiency in SQL with the ability to optimise SQL queries for performance and scalability.
- Understanding of version control systems like Git.
- Resilience to seek tough problems, debug issues or rewrite large sections of code without frustration.
- Viewing projects as part of a larger ecosystem and understanding how small changes effect the whole system.
- Anticipating downstream impacts and proactively addressing potential issues.
- Balancing efficiency with sustainability to build long-term, maintainable solutions.
- Should be comfortable to work in EMEA Shifts