Data Engineer

• Build batch & streaming pipelines with Spark and Kafka
• Work with AWS, Snowflake, dbt and Airflow
• Join a growing iGaming team with modern data infrastructure

Location: Gzira, Malta Work Arrangement: 4 days office and 1 remote on a weekly basis
 
About the Role
We are looking for an experienced Data Engineer to join a growing technology team working on data-driven solutions within the iGaming sector.
You will play a key role in managing and improving the organisation's data platform, ensuring that high-quality data is reliably ingested, processed and made available for analytics and reporting.
This is a hands-on position working across modern data engineering technologies, with responsibility for both the development and operational reliability of data pipelines and infrastructure.
 
Technology Stack

• Apache Kafka
• Apache Spark / AWS EMR
• Amazon S3 / Data Lake
• Snowflake
• dbt
• Apache Airflow
• AWS

 
Key Responsibilities

• Design, build and maintain both batch and streaming data pipelines.
• Maintain and improve Spark streaming infrastructure, ensuring reliable operation and resolving issues when required.
• Develop and optimise data models and transformations within Snowflake using dbt.
• Operate and improve workflow orchestration using Airflow.
• Monitor pipeline reliability, data quality and overall system performance.
• Develop integrations with third-party systems and internal services.
• Investigate and resolve data issues across the complete data pipeline.
• Contribute to infrastructure, CI/CD and platform tooling supporting the data engineering function.
• Create and maintain clear documentation covering systems, data models and operational procedures.
• Work closely with product, analytics and engineering teams to deliver reliable and scalable data solutions.

 
Requirements
The ideal candidate will have:

• 3+ years of professional experience in a Data Engineering or similar role.
• Strong SQL skills and experience working with analytical databases or data warehouses.
• Strong programming skills, preferably in Python; Java or Scala will also be considered.
• Professional experience working with Apache Spark.
• Professional experience with Apache Airflow or another workflow orchestration platform.
• Experience building and maintaining data pipelines within a cloud environment, preferably AWS.
• Good understanding of data modelling and data warehouse design.
• Strong problem-solving and analytical skills.
• Ability to work effectively with product, analytics and engineering stakeholders.
• Good command of written and spoken English.

 
Nice to Have

• Experience with dbt.
• Experience with Kafka or other streaming technologies.
• Previous experience within the online gaming / iGaming industry.

 
What the Company Offers

• Competitive salary and benefits package.
• Hybrid working arrangements.
• Private health insurance.
• Fitness and wellness benefits.
• Regular wellness initiatives.
• Fresh fruit and snacks in the office.
• Weekly team lunches and breakfasts.
• Company and team events.
• Opportunities for continuous learning and professional development.

 
If you are an experienced Data Engineer looking to work with modern cloud data technologies and high-volume data platforms, this could be an excellent opportunity to further develop your career.