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remotive.io n-a senior big data software engineer

Senior Big Data Software Engineer


About us 

Beat is one of the most exciting companies to ever come out of the ride-hailing space. One city at a time, all across the globe we make transportation affordable, convenient, and safe for everyone. We also help hundreds of thousands of people earn extra income as drivers. 

Today we are the fastest-growing ride-hailing service in Latin America. But serving millions of rides every day pales in comparison to what lies ahead. Our plans for expansion are limitless. Our stellar engineering team operates across a number of European capitals where, right now, some of the world’s most ambitious and talented engineers are changing how cities will move in the future.

Beat is currently available in Greece, Peru, Chile, Colombia, Mexico and Argentina. 

About the role

Our Big Data team is an essential ingredient in Beat's aggressive growth plan and vision for the future.

As a Senior Big Data Software Engineer in our teams, you will tackle some of the hardest problems and your work will impact the entire Beat experience, from making sure drivers are always available for all our passengers, to helping our drivers utilise their working hours. Our team moves very fast, so you'll have the opportunity to make an immediate difference.

With the various tools and communication technologies we're using, you'll feel connected to your team from wherever you are in the world. Our remote workforce always has the option to travel to our headquarters for meetings, events, and team bonding—or they can join virtually. Whatever works best for you and your work style. 

What you'll do day in day out:

  • Work with the data science and engineering teams in translating complex models and algorithms into production-grade software systems.

  • Develop components that will analyse, process and react to operational feeds in near real-time, optimizing driver allocation, service pricing and preventing fraudulent use of our services in near real-time.

  • Being agile both within and across teams, bridging software engineering and data science.

What you need to have:

  • At least one Master's degree in Math, Physics, Computer Science or Engineering. Higher degrees are a significant bonus as is considerable experience with Big Data Analytics and Statistical Analysis in the industry.

  • At least 5 years of experience in developing production-grade software using either Data Warehousing or Big Data frameworks in order to solve real-world problems.

  • Experience in developing with Scala at an idiomatic, expert level is required. Knowledge of advanced Java or C++ is a bonus. We would favour candidates with an exceptionally strong engineering background.

  • At least 6 years of hands-on experience with SQL and NoSQL databases.

  • Proven hands-on experience with Apache Hadoop, Kafka, Spark or Flink.

  • Exposure to designing streaming and batch data pipelines.

  • Applied knowledge in Machine Learning algorithms and their application to vast datasets is considered as a plus.

  • A strong sense of ownership in your work.

  • Excellent numerical and analytical skills with an excellent eye for detail working with qualitative and quantitative data.

  • The desire to build, launch and iterate on quality products on time with minimal technical compromises under a loosely-managed working environment.

What's in it for you:

  • Competitive salary package

  • Flexible working hours

  • High tech equipment and top line tools

  • A great opportunity to grow and work with the most amazing people in the industry

  • Being part of an environment that gives engineers large goals, autonomy, mentoring and creates incredible opportunities both for you and the company

  • Please note that you will be working as contractor.

  • As part of our dedication to the diversity of our workforce, Beat is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.

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