Associate Big Data Engineer

Gaming Innovation Group; Newcastle upon Tyne; Hybrid; EUR 50,000 - 80,000; Full time

Job summary

An innovative firm is seeking a talented Big Data Engineer to join their cutting-edge Big Data Team. In this role, you will leverage advanced technologies to collate real-time data across various sources, supporting a high-performance platform that handles thousands of messages per second. You'll work closely with a dynamic agile team and contribute to the platform's objectives, ensuring seamless integration with Business Intelligence and Data Science teams. This is a fantastic opportunity to grow your career in a supportive environment that values your ideas and offers exceptional industry perks, including flexible working options and comprehensive health benefits.

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

Free lunches in the office

Qualifications

• Experience with object-oriented programming and data modelling.
• Knowledge of ETL processes and tools like Apache Spark.

Responsibilities

• Collaborate with agile teams to enhance data platforms.
• Maintain and add features to handle high message throughput.

Skills

Object oriented programming (Java)

Data modelling

ETL processes

Apache Spark

Apache NiFi

CI/CD

Docker

Distributed version control systems

Team collaboration

Analytical mindset

Education

Bachelor's Degree in Computer Science

Tools

Docker

Apache Spark

Apache NiFi

ClickHouse

Linux

Windows

Job description

As part of the Big Data Team, you will be using cutting edge technologies to work on collating data across different sources within GiG. Sources are all in real time, and you will be supporting an event driven micro service lambda architecture.

Your focus is to work with the current agile team and contribute to the platform's objectives and continue being an enabler to many other data technology stakeholders such as the Business Intelligence, Data Science and Quality Assurance teams. You will be up for a challenge, to continue maintaining and adding new features to a platform that ingests up to 5000 messages per second across multiple 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 be guided into delivering world class product increments that support our Tier 1 Platform.

You're really awesome at:

• Object oriented programming (Java)
• Data modelling using any database technologies
• ETL processes (ETLs are oldschool, we transfer in memory now) 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 oriented programming (experience with Python, Scala)
• Analytical mindset
• Low latency databases such as ClickHouse
• Hold a Bachelor's Degree in Computer Science or equivalent
• Can collaborate in scoping exercises
• Mentoring skills
• Have worked with both Linux and Windows environments
• Unix/Linux
  
  

What will you get in this role?

You'll give us your ideas and knowledge, and if we're a good match we'll back you up with a salary you can be proud of and amazing industry perks like daily lunch. On top of the perks, you'll even get to work with the best talent the industry has to offer.

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
  
  
  

Benefits

• Great career development opportunities
• Hybrid or remote working model
• International Health Insurance
• Health and Wellbeing Package (350 EUR per year)
• Birthday Day Off
• Me Time - 1 day off per year