Reporting Engineer
Xanadu is an innovative technology company that develops best-in-class betting software and provides operational support and services for clients in Europe and in the US. Our largest client is Matchbook, one of the world's leading and most sophisticated betting exchanges.
Matchbook is no ordinary website, it has more in common with the New York Stock Exchange than with a bookmaker. It operates at a massive scale, processing more than 500 million API requests a day with an average response time of under 50ms, while also handling billions of dollar’s worth of transactions. To put some of this into perspective, Matchbook processes more transactions each day than Amazon.com does on Black Friday.
With more regulated markets opening in the US and around the world we face new opportunities for further expansion, leveraging our cutting-edge technology to provide our partners with an extremely performant and dependable exchange system.
We are looking for a talented Data Engineer to join our Data Analytics function. If you bring an enthusiasm to all things data related and working with technologies such as Python, Airflow, Spark, Greenplum, Docker excites you then please get in touch with us as we’d love to hear from you.
What will I be doing?
- Collaborating with internal and external stakeholders to build new and improve upon existing intelligence systems, processes and their associated monitoring and alerts
- Build informative, insightful dashboards and reports
- Contributing to the build-out of new workflow processes and associated monitoring and alerting
- Data integrity promotion and development of automated quality assurance tests
- Providing assistance in the ongoing management of our data platform
- Identifying and promoting efficiencies and increasing reliability at all stages of data pipelines
- Support production issues, helping identify and implement effective solutions
- Contributing to schema design, data consistency and the company data dictionary;
- Helping deliver overall company data governance and compliance
- Promotion of data-driven decision making as part of the overall company culture.
What are we looking for?
- Undergraduate and/or postgraduate degree in a STEM field
- Experience creating ETL processes
- Fluency in writing SQL and experience with at least one NoSQL database
- Experience in open source languages such as Python and R
- Familiarity with data engineering tools and proficiency with at least one: Airflow, Cassandra, Spark
- Experience using Linux as a development environment
- Strong data science experience and knowledge of data modelling approaches
- Be a team player capable of conducting independent research
- A strong business-orientation, ability to communicate effectively with internal and external customers
- Have a high level of attention to detail
