Data Engineer

About Faculty

At Faculty, we transform organisational performance through safe, impactful and human-centric AI.

With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.

Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.

Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

About the role 

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.

What you'll be doing:

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

Who we are looking for:

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.

To succeed in this role, you’ll need experience or interest in some of the following areas: 

• 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 we can offer you:

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.

Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.