Data Engineer

Overview

DATA ENGINEER
Ahead of the 2020 Tokyo Olympics, the Olympic Channel is looking for Data Engineers to join our fast-growing digital data & analytics team based in Madrid. You will have the opportunity to work at the intersection of Data, Sport and Media across the Olympic digital ecosystem comprising the Olympic Channel, olympic.org alongside the sites and apps of Olympic Games Organizing Committees such as Tokyo 2020.


Our team is responsible for a wide range of data-related activities including:
• Using data to answer critical business questions, such as which content topics we should focus on, or how fans engage with our platforms and content
• Devising metric frameworks for measuring business performance, and automating their production
• Analyzing performance to advise teams on tactical improvements
• Contributing to the strategy development process
• Production models that deliver product features
• Fan data architecture and integrations
We are a dynamic, informal and multicultural team of specialists so far from 6 different countries with a range of skills from data, statistics, and engineering to business communications and project management. Amongst the data scientists in our team we highly value diversity of background and perspective. We work in close collaboration with colleagues who are experts in areas such as editorial, marketing, commercial, product and technical delivery. Our working language is English.


JOB RESPONSIBILITIES
• Support data science teams in the lead-up to Tokyo2020 by collecting and distributing necessary data, and presenting production predictive models for use in end-user products
• Implement and maintain key data flows in serverless frameworks
o ETL logic in frameworks such as Glue (AWS) and Alooma (Google Cloud)
o Adaptors between systems in frameworks such as Lambda (AWS)
o Http API logic in frameworks such as Lambda (AWS)
• Write and maintain SQL and Python data querying, aggregation and filtering code in SQL and Python
• Contribute to data schema structure and ensure adherence
• Contribute to build a QA culture in the team by developing quality checks on data


JOB QUALIFICATIONS
• Excellent knowledge of serverless cloud architecture principles
• 2+ years of experience writing test-drive Python in an agile environment
• 2+ years of experience implementing ETL flows using both file and API sources
• Prior experience with complex SQL queries, including sub-queries, case statements
• Prior experience implementing HTTP REST APIs
• Knowledge of data structuring and schema best practices and standards
• Ability to self-manage priorities in an environment with a constant mix of urgent and important
• Fluent written and spoken in English
• Thrilled to be part of a major worldwide sporting event
• Desirable familiarity with data science techniques in Python and/or R
• Desirable server-side Node JS experience


Workplace and Environment
• Fast paced work environment;
• Subject to national/international criminal background checks;
• Position until the end of 2020
The company is looking for Data Engineers to join our fast-growing digital data & analytics team
based in Madrid. You will have the opportunity to work at the intersection of Data, Sport and Media
across the Olympic digital ecosystem comprising the Olympic Channel, olympic.org alongside the
sites and apps of Olympic Games Organizing Committees such as Tokyo 2020.

Virginia Dueñas, IT Recruitment Consultant - Your e-Frontiers consultant for this job

Virginia is an IT Recruitment Consultant with e-Frontiers. She is part of the Permanent IT Recruitment Team in Madrid where she is hiring Software Engineers, primarily in DevOps, QA and BI for our clients. Previous to joining e-Frontiers she was a Technical Recruiter with Walters People for C++, embedded software. Virginia holds a degree in Pedagogy from Complutense University and a degree in Human Resources and Labor Relationship in Carlos III University. She thinks that is really important the candidate feel comfortable during the interview. She loves her job because of meeting with people is the best way to grow in a personal way.

Specialises in: DevOps, QA, Security Consultants, BI, Data Science