Overview

Senior Big Data Engineer at Gaming Innovation Group (GiG) – Department: Technology. Location: Madrid.

As part of the Big Data Team, you will work with cutting edge technologies to collate data from multiple sources in real time within GiG. You will support an event-driven microservice Lambda architecture and contribute to the platform’s objectives, enabling other data technology stakeholders such as Business Intelligence, Data Science and Quality Assurance teams. You will maintain and add new features to a platform that ingests up to 5000 messages per second across products such as Lottery, Sports and Casino. Reporting to the Lead Big Data Engineer and supported by the Big Data Architect to follow best practices, you’ll deliver world-class product increments that support our Tier 1 Platform.

Key Responsibilities

• Participate in all agile scrum meetings such as daily standups, refinement sessions, retro sessions, etc.
• Maintain the data platform by daily reconciliations, data reloads, addressing support tickets, etc.
• Propose ideas to improve existing products and services.
• Implement bug fixes and enhancements within the data platform.
• Perform code reviews for other engineers.
• Take ownership of releases where necessary.
• Communicate with stakeholders to ensure information is transmitted accurately to the right audience.
• Take ownership of complex, large-scale initiatives, including data migration projects, ensuring successful planning, execution and delivery.

Skills, Knowledge & Expertise

• You’re really awesome at:
• Object oriented programming (Java)
• Data modelling using any database technologies
• ETL processes and experience with Apache Spark or Apache NiFi
• Applied understanding of CI/CD in change management
• Dockerised applications
• Used distributed version control systems
• Excellent team player
• Meticulous and passionate about your work

• You’re also good at:
• Functional programming (Python, Scala)
• Analytical mindset
• Low latency databases such as ClickHouse
• Bachelor’s Degree in Computer Science or equivalent
• Collaboration in scoping exercises
• Mentoring skills
• Experience with Linux and Windows environments

Job Benefits

• Great career development opportunities
• 100% remote or hybrid working model
• International Health Insurance
• Health and Wellbeing Package (350 EUR per year)
• Birthday Day Off
• Me Time - 1 day off per year
• Lunches in the office for free

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Gambling Facilities and Casinos

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