Data Engineer

Pace is looking to strengthen its engineering team. Do you want to solve hard engineering challenges together with a team mainly composed of science PhDs? Unparalleled learning curve and a great team promised! THE COMPANY Pace is revolutionising the travel-industry by giving back power to the suppliers. For years travellers have had tools to find the best and cheapest flights, hotels and events. Pace focuses on giving suppliers the tools they need to operate effectively. Our first customers are independent hotels, who we provide with predictive analytics and automated responses to optimise their utilisation and revenues. For the first time hoteliers can now trust that they are responding accurately and rapidly to changes in demand and always selling at the optimal prices. The Pace platform is based on proprietary algorithms and machine learning techniques that originated in the finance and aerospace industries. Pace is headquartered in London and has raised more than £1 million in seed capital from well-known venture capital funds. THE TEAM We are a global team of people who have come together because we want our place of work to be fast-paced, creative, challenging, diverse and impactful. Our culture is democratic and open to all genders, persuasions, races, identities and orientations. We respect each other and trust each other. For us this means flexible hours, openness to remote working, transparent and fair compensation, a health plan and other benefits. The fruits of our labour are beautiful products that give people access to impactful technology through intuitive and simple interfaces. WHAT YOU WILL BE WORKING ON Data retrieval and processing pipelines Add new data sources and scale processing of the existing ones using SQL, pandas and airflow Improve and scale our data processing infrastructure Build APIs used internally by the science team as well as the frontend that aggregate and filter data Integrate machine learning algorithms developed by the science team Build internal reports using Apache Superset WHAT WE ARE LOOKING FOR Experience with Python (BONUS: knowledge of the scientific python stack - numpy, scipy and pandas) Experience with SQL (especially PostgreSQL) (BONUS: database administration experience) Experience with distributed systems and distributed stream processing systems, e.g. Apache Storm Working knowledge or interest in statistics, applied maths, etc. OUR STACK Python 3, Pandas, Flask, Airflow, Celery, Superset, PostgreSQL, Redis, RabbitMQ COMPENSATION PACKAGE £35,000-£50,000 Healthcare insurance