Data Engineer, Faculty
1+ day a week in office
Making AI real
Job no longer available
Making AI real
201-500 employees
Job no longer available
1+ day a week in office
201-500 employees
Company mission
To help organisations across the public and private sectors use AI to understand more deeply, make better decisions and act faster.
Role
Who you are
- We're looking for a dynamic individual who can not only develop robust data solutions but also inspire and encourage their adoption throughout the organisation
- Data Engineering: writing Python or dbt to build scalable data pipelines
- Data Warehouses: proven experience with BigQuery, Snowflake or similar
- Data Visualisation: visual analytics with Tableau, Superset, Power BI or similar
- Data Tools: exposure to ETL tools (e.g. Airbyte, Fivetran) and workload orchestration tools (e.g. Dagster, Airflow)
- Cloud: exposure to cloud platforms such as AWS or GCP with any understanding Terraform a bonus!
- Problem Solving: you have a passion for solving interesting challenges utilising the latest techniques and tools in the Data & AI space
- Autonomy: an ability to work with ambiguous, open-ended questions and take ownership of problems, seeing them through to execution
- Collaborating: excellent communication and teamwork skills are essential—you thrive on working closely with others to achieve success
What the job involves
- Our Data Engineers are responsible for building and optimising data pipelines, ensuring data accuracy, and implementing scalable architectures
- They collaborate with teams to meet data needs, automate workflows, and support analytics using cloud technologies and advanced tools
- As part of the internal data warehouse team you will be building the data infrastructure to help guide Faculty’s decision-making, from day-to-day operational decisions all the way to the strategic directions of the company
- The data warehousing team is responsible for gathering, maintaining, and improving our operational data, which enables us to apply our decision intelligence and AI know-how to our own organisation
- Your role will evolve alongside business needs, but you can expect your key responsibilities to include:
- Creating, maintaining, and expanding our data ingestion tooling that leverages best practices and build on open source technologies
- Building and managing data pipelines using Python or dbt to fuel powerful analytics
- Designing scalable, cloud-based data solutions using cutting-edge technologies like BigQuery or Snowflake
- Creating, maintaining, and tuning our data transformations to improve data quality, availability, and clarity for the end users
- Automating everything! Building and maintaining CI/CD pipelines to streamline deployments and testing
- Utilising the latest BI tools to develop and maintain data dashboards that help teams make smarter, data-driven decisions
- Documenting architectures, processes, and best practices, creating a knowledge-sharing culture across the team
- Collaborating with internal stakeholders to understand where they could leverage data, analysis, and automation to do their job more effectively
Salary benchmarks
Our take
Faculty work with companies such as Samsung, the BBC, and Just Eat to figure out what they could do with AI, and then help them to do it through implementing the right skills, strategy and software.
The team have developed a platform with large cloud computing space for accessing large amounts of data usable to design and test AI models. As businesses realise the importance of using data to drive growth and stay competitive, Faculty have focused on making AI real through real world deployments and aim provide data to organisations so that they can make better decisions.
Faculty has worked with clients in a range of different industries, including healthcare, retail, government and energy. They are just one of the many companies utilising AI, but it’s their ability to work alongside organisations and apply the findings that will really help them to succeed.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
36% female employees
19% employee growth in 12 months
Company
Employee endorsements
Autonomy
"People here get a lot of trust to figure things out. They also get the chance to earn a lot of responsibility at a relatively early stage in their..."
Funding (last 2 of 3 rounds)
May 2020
$37.6m
SERIES A
Nov 2019
$10.5m
SERIES A
Total funding: $50m
Company benefits
- Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!
- Equity, we want you to benefit from Faculty’s growth and success
- Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
- Fantastic private health, optical and dental cover, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
- Access to mental health coaching with Sanctus
- Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
- We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
Company values
- Grow the Best Team - Only hire people you’re convinced will make Faculty better. Take others’ development as seriously as your own. Build strong and collaborative teams.
- Do Great Work - Master your craft. Take pride in your work, even when no one is watching. Demand the highest standards from yourself and others. Work hard, but do it sustainably.
- Be Humble & Kind - Recognise that you’re always learning, and have something to learn from everyone. Always make the decision that is best for faculty, but treat people kindly as you do it.
- Act with Integrity - Have the courage to maintain integrity even when it’s costly to do so. Demand this from others without hesitation.
- Seek Truth - Seek the truth over winning the argument. Understand the root cause. Create an atmosphere in which the best idea succeeds, regardless of who or where it comes from.
- Maximise Impact - Care about the impact of your work. Find the thing that is most important to your customer. Design the best solution, not just what’s easiest or fashionable. Get it done fast. Make sure nothing falls through the cracks.
Company HQ
Old Street, London, UK
Articles
Leadership
Marc Warner
(CEO)Previously a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing
Andrew Brookes
(CTO)Previously a CTO at Hillgate and Vice President at BlackRock
Angie Ma
(Co-Founder)Previously a Scientific Consultant at Bio Nano Consulting
Diversity, Equity & Inclusion at Faculty
Angie Ma (Co-Founder)
- AI changes everything, and so must we to make sure our people reflect the real diversity of society. We believe that recruiting talent with diverse experiences, perspectives and backgrounds encourages people to think differently and be more creative
- We welcome difference whether it’s ethnicity, religion, age, gender, gender identity, sexual orientation or disability so please be yourself!
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