Data Engineer
The Data Engineer is responsible for building and maintaining scalable, reliable, and high-quality data pipelines and infrastructure that power data products and analytics across the organisation. The role focuses on ensuring data is accurate, timely, and consistently processed, particularly in environments involving high-volume transactional and API-driven systems.
The role involves designing, building, and maintaining ETL/ELT pipelines, ingesting data from internal systems and external APIs, and developing scalable data processing workflows. The engineer will integrate data from various sources, handle complex data scenarios, and ensure consistency between source systems and analytical datasets.
Key responsibilities also include implementing transformation logic aligned with architectural data models, building and maintaining structured data layers for analytics consumption, and collaborating closely with the Data Architect on model implementation. The role requires implementing data validation, monitoring, and alerting mechanisms to ensure high levels of data accuracy and availability, as well as optimising pipelines for performance and scalability.
- Design, build, and maintain ETL/ELT pipelines.
- Ingest data from internal systems and external APIs.
- Develop scalable data processing workflows (batch and/or real-time).
- Ensure pipelines are reusable, efficient, and maintainable.
- Integrate data from various sources, including transactional flows.
- Handle complex data scenarios such as: Event sequencing (e.g. bet → resolve), Idempotency and duplicate handling, Partial or delayed data.
- Ensure consistency between source systems and analytical datasets.
- Implement transformation logic aligned with architectural data models.
- Build and maintain structured data layers for analytics consumption.
- Collaborate closely with the Data Architect on model implementation.
- Implement data validation, monitoring, and alerting mechanisms.
- Identify and resolve data inconsistencies or failures.
- Ensure high levels of data accuracy and availability.
- Optimise pipelines for performance and cost-efficiency.
- Support scaling of data infrastructure as volumes grow.
- Ensure low-latency data availability where required.
- Work closely with Data Architect, Analysts, and Manager.
- Support Analysts by ensuring availability of curated datasets.
- Contribute to continuous improvement of data platform capabilities.
- 3–7+ years experience in data engineering, backend engineering, or similar roles (required)
- Strong programming skills (e.g. Python, SQL) (required)
- Solid understanding of ETL/ELT processes and data pipeline design (required)
- Experience working with APIs and integrating distributed systems (required)
- Experience handling transactional or event-based data (required)
- Strong understanding of data transformation techniques (required)
- Strong understanding of data warehousing concepts (required)
- Strong understanding of data modelling fundamentals (required)
- Experience with data orchestration and workflow tools (required)
- Ability to build robust, fault-tolerant systems (required)
- Strong problem-solving skills with attention to detail and data accuracy (required)
- Experience in iGaming, fintech, or high-volume transactional environments (nice-to-have)
- Experience with event streaming technologies (e.g. Kafka) (nice-to-have)
- Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Airflow) (nice-to-have)
- Experience with real-time or near real-time data processing (nice-to-have)
- Understanding of idempotent processing and event ordering (nice-to-have)
- Exposure to CI/CD and infrastructure-as-code practices (nice-to-have)
- Experience supporting analytics or BI teams (nice-to-have)
- Experience a dynamic and team-orientated work environment.
- Opportunities for personal growth and learning.
- An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
- 26 days paid holiday per year. This is in addition to local bank holidays.
- Competitive salary.
- €400 annual wellness allowance.
- Hybrid Working.
- Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
- Team Building Opportunities.
- Flexible core hours between 10am – 4pm.
- Receive support whenever you need it with our Employee Assistance Program, available 24/7.
- Local discounts and more.
Eeze is a business-to-business iGaming provider specialising in live casino and slot content, headquartered in Malta. Part of the Tain Group, it draws on more than two decades of industry experience to supply live dealer games, game shows and a gamification suite to online operators. The company runs its own studios producing live casino and game-show content, and employs over 600 people across offices in Malta, London and Bucharest. Its portfolio spans table classics such as blackjack, roulette and baccarat alongside customisable live experiences.