About the Role & Team

As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. You’ll work hand in hand with the ML, Analytics, and Reporting teams to develop and maintain data pipelines & internally developed tools to improve workflows and automate processes wherever possible. The ideal candidate has a passion for data, a strong background in data engineering, database management & computer science. An interest in professional sports, betting and/or eSports is a plus.

About the Work

As a key member of our Data Engineering team you will:

• Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives
• Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
• Collaborate with the team to meet performance, scalability, and reliability goals
• Write out tests and thorough documentation for processes and tooling
• Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
• Maintain and expand existing systems, tooling and infrastructure
• Maintain the data warehouse ensuring data integrity and performance
• Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
• Other duties as required

About You

• A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
• 5+ years of experience in data or software engineering
• Strong Knowledge of Python
• Strong Knowledge of Airflow, Docker and Kubernetes
• Strong knowledge of relational databases and SQL
• Experience building out a scalable infrastructure to fit the needs of a growing company
• Experience in data ingestion and processing including Third-Party APIs (e.g. Appsflyer, Branch, Facebook etc.)
• Experience with RedShift, Snowflake or other SQL-based data warehouses
• Experience with at least one major cloud platform (AWS, GCP, Azure)
• Experience with testing frameworks such as RSpec, Jest, pytest or equivalent
• Strong organization and collaboration skills
• Excellent written and oral communications skills.
• NICE TO HAVE: Experience working with Data Scientists or deploying machine learning models
• NICE TO HAVE: Experience developing frontend applications, using JavaScript and React

What We Offer

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements.
• Parental leave top up
• Opportunities for career progression and mentoring others