Junior Data Engineer

Junior Data Engineer / Junior Data Quality Analyst

About us:
Pythia is a fast-growing company providing services to the sports betting industry.
Our business is all about predictive sports modelling, underpinned by extensive use of a wide and ever-expanding array of real-time feeds and inputs. If that sounds both complex and hard, it is, but it’s also a huge amount of fun!
We strive to be the best at what we do every day, and we know that our success comes from our most important resource – our people. We pride ourselves on hiring talented individuals who challenge the status quo and help us to build exceptional, high-performing teams.
Based in London Victoria, we’re working to a hybrid work-from-home/office model (1-2 days in the office/week).

We offer private health and dental insurance, a cycle to work scheme, enhanced parental leave, enhanced sick pay, 36 days total holiday allowance, team events, discretionary annual bonus, and plenty of career development opportunities.
At Pythia, you will find a relaxed atmosphere, regular social events and remarkable colleagues looking to push boundaries - come and join us!

The role:
As a Junior Data Engineer, you will be joining a growing team, dedicated to predicting the outcome of sporting events. Your role will sit between the Data Science and Database Administrator teams, acting as a go-between to translate quantitative requirements for the datasets and automate data checks to ensure reliability. You will also create and manage reporting tools used to assist key business decisions.

What you will be doing:

• Supporting data workflows for the quantitative team
• Implementing data quality checks to ensure accuracy and reliability
• Automating checks and reporting services on in-house datasets
• Generating reports and building interactive visualisations (e.g., in Tableau or similar tools)
• Producing clean and clear documentation for the datasets and procedures

What you need for this role:

• Quantitative background (e.g. STEM degree)
• Proficiency in SQL
• Proficiency in Python for data manipulation and automation
• Familiarity with data visualisation tools (Tableau, Power BI, or similar)
• Ability to implement basic data validation/quality processes
• Good communication and documentation skills

What to expect from the selection process

• CV screening
• 1st interview with hiring manager
• Take home data challenge
• Final in person interview with senior management team
• All stages are eliminatory.