DATA & INSIGHT ENGINEER
** £55k + 20% Bonus + Share Options
HYBRID -
London Based (Victoria Station)
Remote up to 2 days per week.
WHO ARE WE?**
We're Sessions, and we're on a mission to bring non-stop originality to every kitchen.
Founded in 2020, Sessions has launched and scaled 10 unique food brands, partnered with over 300 licensee kitchens, and delivered more than 3 million orders. We're now expanding rapidly into franchising, using our own technology to grow our portfolio across high streets throughout the UK.
Our line-up includes cult favourites like SoBe Burger and Little Bao Boy, alongside collaborations with globally recognised names—such as Netflix-associated experiences like the
Squid Game Korean Chicken
menu —and internationally acclaimed concepts like Ivan Ramen (featured on
Chef's Table
).
Led by former executives from Deliveroo, BrewDog and Soho House, Sessions is backed by industry-leading investors Imbiba and Guinness Ventures.
Who's Hungry?
We are Agile -
We are customer-obsessed and adapt as needed to meet their needs
We are Ambitious -
We aim to not only discover but create on-trend brands and are excited by the work required to become a tastemaker brand
We are Fun -
We keep playfulness at the centre of our culture so that we can deliver on the very serious business of keeping food fun
We are data-driven -
We don't make assumptions based on what has always been done and instead focus on what the data tells us should be done
About The Role
As the
Data & Insights Engineer
at Sessions, you will play a critical role within the Data & Analytics team, driving both the foundational data infrastructure and the direct delivery of actionable insights. This role truly sits at the intersection of engineering and insight: you will be building, maintaining, and optimising our data infrastructure as well as enabling teams across the business to access, understand, and act on the data that drives our strategic decisions.
Your responsibilities will be to ensure reliable and efficient data flow from diverse sources, including external web data, into our central data warehouse. You will also act as a proactive insights analyst, directly supporting teams day-to-day. This means turning raw, complex data into usable analysis, responding to ad-hoc requests, proactively spotting critical trends, and empowering teams to make faster, better decisions based on precise data intelligence.
This position is ideal for a highly skilled engineer proficient in Python for data extraction and pipeline development, with strong expertise in SQL and Dataform for robust data transformation and orchestration. We're looking for someone who is equally comfortable writing robust, scalable data pipelines and skilled at answering "what happened and why?" questions from stakeholders.
WHAT WILL YOU DO?
* Design, develop, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from various internal and external sources into our BigQuery data warehouse.
* Lead efforts in external data sourcing, including designing and implementing solutions using Python
* Pipeline orchestration with Mage: proven ability to design, deploy, and maintain production-grade pipelines in Mage, including handling scheduling, dependencies, and modular pipeline design.
* Data modelling and transformation in Dataform: hands-on experience developing, testing, and deploying scalable SQL models; managing schema evolution; and applying best practices for modular, maintainable code.
* Cloud Run deployment and management: experience containerising jobs, deploying scalable services, and troubleshooting runtime issues in Cloud Run.
* GCP general expertise: including BQ, GCS, Monitoring/alerting to ensure pipeline reliability.
* End-to-end debugging and incident response: demonstrated ability to resolve pipeline failures quickly, whether caused by upstream data issues, infrastructure limits, or code errors.
* Develop, optimise, and maintain complex data transformation scripts using Dataform and Python, ensuring data quality, consistency, and performance.
* Collaborate closely with the Data and Tech team and other business units to understand their data needs and translate them into technical requirements for data pipeline development.
* Lead and execute impactful data-driven analysis, translating complex business questions into actionable insights. This includes gathering nuanced stakeholder requirements, formulating data hypotheses, and performing in-depth analysis to uncover trends, insights and recommendations for various business units, including Product, Growth Marketing, Brand, and Operations.
* Provide rapid, accurate responses to ad-hoc data requests, supporting urgent analytical needs and problem-solving initiatives for diverse teams.
* Implement monitoring, alerting, and logging for data pipelines to ensure data integrity, reliability, and timely delivery.
* Diagnose and resolve data-related issues and perform root cause analysis to resolve data pipeline failures and discrepancies.
* Contribute to the ongoing improvement of data architecture, data governance best practices.
* Champion innovation by staying ahead with the latest industry trends and technologies in data engineering to enhance our data platform capabilities.
* This also includes demonstrating the ability to quickly resolve pipeline failures, whether they are caused by upstream data issues, infrastructure limits, or code error
Requirements
* Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
* 3+ years of hands-on experience as a Data Engineer, highly technical Data Analyst or in a similar role focused on building and maintaining data pipelines and data models, preferably in a tech-focused environment.
* Advanced proficiency in Python for data manipulation, scripting, and developing robust data extraction solutions.
* Proven experience with GCP and particularity with Dataform for data transformation and Cloud Run to containerise jobs. This includes hands-on experience developing, testing, and deploying scalable SQL models; managing schema evolution; and applying best practices for modular, maintainable code.
* Expertise in SQL, with significant experience working with large datasets in cloud data warehouses such as BigQuery, Redshift, Databricks, or Snowflake.
* Experience with Mage or airflow, essential.
* Strong problem-solving and analytical abilities, with a meticulous attention to detail.
* Excellent communication skills, capable of explaining complex technical concepts to both technical and non-technical stakeholders.
* Enthusiastic and natural problem solver, with a proactive approach to identifying and addressing data challenges.
* Enjoys working collaboratively with cross-functional teams.
* Resilient and loyal.
* Strong organisational and time-management skills.
* Fluent in the English Language.
* Right to Work in the UK.
Financial Wellbeing
BENEFITS
- What Sessions can offer you
Bonus Scheme -
Paid quarterly, up to 20% of salary
Share Options
- Receive an amount of share options for Sessions upon passing probation
Pay day on demand -
Choose a payday that suits you best, with the ability to transfer salary for days already worked whenever you like.
Expense card -
Don't find yourself short whilst waiting for expenses to be paid, the majority of our headquarters staff will be given their own Soldo company card.
Finance Platform
- Access to 'Mintago', Financial Wellbeing Platform giving access to free financial advice, pension hunter, discounts portal and a range of salary sacrifice schemes
Social, Mental & Physical Wellbeing
Hybrid Working
-
We offer the option for work from home days for most head office roles.
Holidays -
We offer 25 days holiday + bank holidays, celebrate different bank holidays? fine by us Let us know and we'll distribute them as suits you best
Healthcare -
Sessions operate a Healthcare Cash Plan scheme that covers medical, optical and dental expenses
Volunteering Day -
Take a day at full pay to support one of our partner charities
Employee Assistance Programme
-
Support for mental health and legal services for you and your direct family.
Socials
-
Sessions run optional monthly social activities, everything from drinks on us, theatre trips, karaoke, art classes, team lunches and even events such as Halloween movie nights
Dog Friendly
- We love our fluffy pals, they're welcome in the office
Wear what you like
- No suits and ties please, that's so 18th century....
Technology Perks
Laptop -
Apple Mac or Windows Laptop? Your choice and most of us don't judge...
Phone -
Apple iPhone and company sim provided where necessary for the role
Additional
-
Need another screen? Keyboard? Footstool? Our office manager can provide you with an ergonomics assessment to prevent workplace injuries.
Progression & Development
High Growth Start Up
-
This is a great chance to be part of a growing company with plenty of progression opportunities and examples of where our people have progressed as fast as we have
Management & Leadership Programme -
Sessions runs a Management & Leadership Programme covering a range of topics and classes
Be Inspired
-
Work with industry legends such as the Ex MD of Deliveroo, ex CFO Soho House and ex Global Growth Director of Brewdog.
Membership & Qualifications
- Sessions have helped support a number of our employees by providing funds for work-based qualifications and memberships to relevant associations such as AAT and CIPD.
Sessions are a living wage and equal opportunity employer.
We are a living wage and equal opportunity employer - all applicants are reviewed 'anonymously' where only work experience and education will be available for the hiring manager to view - all applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender, family or parental status, national origin, veteran, neurodiversity status or disability status.
Curators of original food, brands and experiences. Bringing non-stop originality to tables everywhere.