About Us:
Two Circles is a data-driven sports marketing agency. We work with some of the world’s biggest sports organisations – including the NFL, Premier League, Formula 1, Wimbledon and UEFA – and have four times been named Sport Industry Agency of the Year.
Every day, our team analyses billions of pieces of behavioural, attitudinal and purchase data from sports fans spanning the globe, using the latest machine-learning and data visualisation technology. We do this to give our clients the tools and insight required to grow their businesses and achieve their objectives in areas such as event day, media, sponsorship and participation.
We have a team of just over 600 Two Circlers working from eight offices across the world (LA, Kansas City, Miami, NYC, London, Paris, Bern and Melbourne) who work cross-region to service our expanding international client base.
About the team:
As part of our ongoing growth, we are looking to innovate with our technology stack and are seeking a talented Lead Data Engineer (AWS) to join our growing team and help us deliver innovative data solutions for clients and build our data management and analytics platform.
It is a fantastic opportunity for a smart, dynamic and ambitious person interested in working for sport’s most exciting agency at our UK headquarters, located at the heart of London’s technology hub.
As a data engineer you will play a key role in our team of engineers designing, building, testing & supporting data and BI solutions for the largest sporting organisations in the world. With a passion for technology you will help drive innovative solutions for our client, always pushing for higher standards and better quality. Working within a talented team of engineers you will have huge opportunities to both learn yourself and help mentor junior members.
Delivery is managed using Agile methodologies and you will embody the principles of integration, innovation, learning, communication and teamwork.
This role will be part of the Data & Analytics Squad.
Requirements
Your main duties & responsibilities:
Design, build and unit test of aspects data services, from ingestion, through harmonisation and transformation into business usable analytics. Input into high level design and responsibility for low level design • Hands on development of data pipelines using Step functions, Glue, Python/Pyspark and DBT(Redshift). Thorough and high-quality automated Unit testing • Creation of accurate, insightful & informative technical documentation • Performance analysis & improvement Handover and upskill of Operational teams Protecting the data entrusted to us by our clients at all times Internal mentoring and helping define learning pathways within the team The ideal background and skills we are looking for include: A passion for technology with a flair for finding innovative solutions A talent for Design with a keen eye for detail, structured thinking and best practice Identifying and analysing business, client or project requirements and translating them into technical deliverables Experience in developing Data solution with the following technical skills: Experience working with data, ideally in the Analytics space SQL, ideally Redshift or Snowflake • DevOps Pipelines or CI/CD (ideally AWS) – build, maintain or run.
Experience with the following would also be beneficial:
Working within an Agile delivery framework Lambda Functions AWS Database Experience - RDS/Dynamo DB/Redshift Glue/Databricks - Spark Cluster understanding/management
Though these are the basics written down, we will principally be recruiting for energy, values and commitment – both to Two Circles and to your career. Our recruitment process will be honest & thorough, and so will our roles.
In return, we can offer honesty, integrity, and the chance to progress in the organisation as quickly as you develop within it. Two Circles is committed to creating a diverse environment and is proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
