Senior Analytics Engineer - Performance Attribution Platform
Full-time
London, United Kingdom • In office | Hybrid | Remote (UK only)
About GoGorilla
GoGorilla is the world's first performance marketing company built on financial technology. We've engineered a platform that hardwires client objectives into every campaign, ensuring transparent, auditable results that traditional agencies can't match. When our clients win, you win. You'll join a high-performance London team where your commercial impact directly shapes your career trajectory and financial rewards.
About the role
As a Senior Analytics Engineer, you will be a key architect of our performance attribution platform. You will be responsible for designing, building, and maintaining the data pipelines and data models that power our analytics and reporting. This is a highly technical and strategic role that offers the opportunity to work on a unique and complex set of problems at the intersection of data engineering, data analytics, and marketing science.
Day-to-day, you'll work with large datasets, build data pipelines, and create data models that enable our data scientists and analysts to generate insights and build models. This role requires a deep understanding of data engineering principles, a passion for data quality, and a desire to build a world-class analytics platform.
Working pattern and flexibility
This is a senior role with a high degree of flexibility. You can choose to work from our central London office, adopt a hybrid approach, or work fully remotely from anywhere in the UK. We trust you to manage your own time and deliver against your objectives. Time tracking is required for remote work to ensure security and progress monitoring, which is an industry-standard practice.
Leadership trajectory
This is a senior role with a clear path to technical leadership. You'll start by mastering our data stack and consistently delivering high-impact data models, with the opportunity to progress to a Lead or Principal role within 18 to 24 months. Exceptional performers will have the chance to build and lead their own analytics engineering team.
What you will be doing
Design, build, and maintain the data pipelines and data models that power our performance attribution platform.
Work with large datasets from a variety of sources, including our internal systems, third-party APIs, and client data.
Create data models that are optimised for performance, scalability, and usability.
Collaborate with our data scientists, analysts, and engineers to understand their data needs and build solutions that meet them.
Stay up-to-date on the latest trends and techniques in data engineering and analytics engineering.
What you will bring
A strong background in data engineering or a related field.
Expertise in data modelling, data warehousing, and ETL/ELT development.
Proficiency in SQL and experience with a variety of data technologies, such as dbt, Airflow, and Snowflake.
Experience with a programming language like Python or R is a plus.
Right to work in the UK. We do not offer visa sponsorship.
A willingness to learn and a coachable mindset.
You should not apply if
You are not passionate about data engineering and building world-class analytics platforms.
You are not a creative problem-solver who enjoys tackling complex and ambiguous challenges.
You are not a team player who is willing to collaborate with others to achieve common goals.
You are not interested in a role that requires continuous learning and improvement.
You are not comfortable with a role that has a high degree of accountability for the quality and reliability of our data.
How we work
Outcomes first – your success is measured by the impact your data models have on our business and our clients.
Autonomy with accountability – you have the freedom to manage your own development process with clear expectations for results.
Build the playbook – you will contribute to our analytics engineering playbook by developing and refining our data modelling process and best practices.
Be the expert – you will be the go-to person for all things related to our performance attribution platform.
Continuous improvement – feedback and data-driven insights shape our data modelling process and drive continuous innovation.
Compensation and progression
Base salary: £70,000 to £90,000 (London), with adjustments for other UK locations (£60,000 to £80,000).
On-target performance bonus: Significant performance bonuses and success-sharing opportunities.
Company profit-sharing: Participation in overall company success.
Equity: A substantial equity package reflecting the seniority and strategic importance of this role. Meaningful equity participation is a core part of our compensation philosophy for high-performing team members, offering a stake in our long-term success.
Benefits: Private healthcare for full-time UK employees after 6 months probation, 25 days holiday plus bank holidays, laptop and modern tools, learning budget and regular team events.
Progression: Clear path to Lead or Principal role within 18-24 months, with opportunities to build and lead your own analytics engineering team.
30-60-90 day expectations
Day 30 – Complete onboarding, learn our data stack, and begin exploring our data.
Day 60 – Take ownership of your first data modelling project and begin contributing to our analytics engineering playbook.
Day 90 – Consistently delivering high-impact data models and demonstrating a clear impact on our business.
Our hiring process
We keep the steps simple so you can demonstrate how your skills drive outcomes and align with our culture. For this role, the journey usually follows our standard path – application, a short cultural profile, a light role task if applicable, interviews, offer and onboarding. See the careers page for specifics.
Typical flow for this role
Application – submit your CV and a short note on your experience with data engineering.
Cultural assessment – brief values and collaboration profile, plus short video questions.
Role task – a data engineering challenge to assess your skills and creative thinking.
Interviews – meet the hiring lead and other members of the data and engineering teams.
Offer and checks – written offer with base, bonus, and equity structure, right-to-work and references.
Onboarding – a clear plan, team introductions and access to all company resources.
Important notes for candidates
We do not use third-party recruitment agencies. Do not send CVs through agencies.
Apply only through our official channels. We will never ask for payment or personal financial information during the hiring process.
Double-check sender domains in email communications.
By applying, you confirm that the information is accurate and understand that employment is subject to right-to-work checks and references.
We process candidate data in line with our privacy notice.
