Big Data Engineer

Multiple

Big Data Engineer responsible for data platform integration and machine learning solutions at iGaming company. Collaborating with engineering teams and stakeholders to enhance data capabilities.

Posted 5/23/2026full-timeTa Xbiex • 🇲🇹 MaltaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureBigQueryCloudGoogle Cloud PlatformJavaPythonScalaSQL

About the role

Key responsibilities & impact

Design and implement ingestion pipelines to onboard data from the core gaming platform, handling event-driven, transactional, and behavioural data at scale
Build and optimise data transformation and orchestration workflows that prepare ingested data for downstream consumption
Work closely with the Head of Data, Data Architect, and wider engineering team to deliver the integration layer on an accelerated timeline
Ensure pipelines are reliable, observable, and designed for both real-time streaming and batch processing workloads
Act as the team’s point of reference for data science work as your area of specialism, growing this focus over time as the platform matures
Design and build predictive models and analytical products across key business domains including player segmentation, fraud detection, risk modelling, and personalisation
Collaborate with key stakeholders to identify high-value opportunities for data science and translate business problems into analytical solutions
Contribute to the definition of engineering standards, tooling, and best practices across the data ecosystem
Build systems that are scalable, maintainable, and resilient
Support large-scale platform and data migrations, including onboarding Tier 1 brands or high-volume partners onto new systems
Contribute to migration frameworks, automated tooling, and data validation mechanisms to ensure data integrity and minimal operational disruption
Work within a development environment that embeds agentic AI tools within the engineering lifecycle
Leverage AI-assisted workflows to improve code development, pipeline reliability, testing, and operational efficiency
Promote an automation-first mindset, embedding automation into data engineering and data science processes wherever possible
Implement data validation, monitoring, and observability mechanisms across ingestion and transformation layers
Ensure high levels of data integrity, reliability, and availability
Work closely with engineering, analytics, and product teams to deliver reliable and well-structured datasets.

Requirements

What you’ll need

5+ years in big data engineering, with a track record of building scalable pipelines and distributed data systems
Advanced SQL, with experience working across modern analytical warehouses
Strong Python, with Scala or Java as a plus
Hands-on experience with cloud data platforms (AWS, GCP, Azure, or OCI) and modern analytical warehouses (e.g. Snowflake, BigQuery, Databricks, ClickHouse)
Pipeline orchestration experience with tools such as Apache NiFi; familiarity with containerisation and CI/CD
Migration experience — supporting or building large-scale data migrations with a focus on automation and data integrity
Data science aptitude — genuine interest in analytics and ML, with working knowledge of statistical modelling and libraries
Production ML experience is a plus
Ways of working — thrives in small, high-ownership teams; automation-first mindset; comfortable leveraging AI-assisted development tools
iGaming experience is a strong advantage.

Benefits

Comp & perks

Health insurance cover from the first day of work
Wellness benefit (after probation)
Optician/Spectacle and Blue Lens Benefit (after probation)
Breakfast/lunch all week
Monthly snacks allowance
Training support
Modern office facilities
Dog-friendly workplace
Exciting Company Events
Monthly Beer Fridays
Eur1,000 Refer a friend bonus
Relocation package (if required)
One day birthday holiday

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Hard Skills & Tools

big data engineeringdata pipelinesdata systemsSQLPythonScalaJavadata migrationstatistical modellingmachine learning

Soft Skills

collaborationproblem-solvingautomation-first mindsetownershipcommunicationadaptabilityanalytical thinkingstakeholder engagementteamworkleadership