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Senior Big Data Engineer

Gaming Innovation Group • Sports Betting • iGaming & Gambling • Python • Java • SQL • ETL/ELT • Apache NiFi • 2 days ago
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Salary
≈ $35k – $91k per year (Estimated)
Location
Hybrid (St. Julian's, Malta)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 16, 2026.

Overview
Company
Impact
Profile match

Gaming Innovation Group

Gaming Innovation Group is a technology company founded in 2012 and headquartered in St Julian's. It supplies platform, sportsbook and media technology to online gaming operators. The company is listed in Stockholm and Oslo.
gig.com • HQ: St. Julian's, Malta • Sports Betting • iGaming & Gambling • 51-200 employees • Est. 2012
Tech stack of Gaming Innovation Group

At GiG we are looking to hire a Senior Big Data Engineer in our Data department. You will assume a pivotal role in taking ownership of the analysis, design, building, support of major realtime big data projects and contribute to

the team's success through code reviews, promoting best practices and

implementing robust solutions across all aspects of big data endeavours.

Embracing this vital role, the Senior Big Data Engineer is instrumental in driving data-driven excellence, harnessing the power of information for strategic decision-making, and fostering organisational growth and success.

Key Responsibilities

  • Design, create, and maintain ETL processes, data integrations, and data pipelines
  • Ensure seamless handling of vast amounts of data.
  • Leverage extensive knowledge, the engineer develops high-performance services to efficiently process, store, and analyse large datasets

    using optimised code.

  • Aim to maintain data accuracy and reliability, takes the lead in designing and implementing data validation and quality checks tailored to meet specific business needs.
  • Troubleshoot live production systems is a regular part of the engineer's responsibilities, ensuring smooth operations and swift issue resolution.
  • Demonstrate an innovative spirit, the engineer actively tests and

    implements new technologies, staying abreast of the latest advancements relevant to current and future projects.

Requirements

  • Strong level of expertise with big data technologies such as Spark, Kafka, Nifi, ClickHouse and Big Data datastores.
  • Strong understanding of schema design methodologies and data models
  • Expert in extracting large datasets using SQL, familiarity with SQL
  • databases
  • Experience with object oriented programming skills - ideally Python and/or Java
  • Strong experience with cloud computed and/or distributed systems

Benefits

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

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