Overview

We’re looking for a Data Engineer to play a key role in shaping how data is collected, organized, and leveraged across the business. Based in Malta, you’ll help lay the foundation for scalable analytics and support data-driven initiatives by building and optimizing reliable data pipelines and storage systems. If you’re passionate about transforming raw data into clean, structured, and actionable formats — this role is for you.

What You’ll Be Doing

• Build and maintain data workflows to process and deliver data efficiently and accurately.
• Create connections to internal and external data sources using APIs, flat files, databases, and real-time streams.
• Design robust data models and structures optimized for analytics, reporting, and operational needs.
• Ensure data pipelines are scalable, fault-tolerant, and aligned with business requirements.
• Partner with analysts and business teams to make data accessible and easy to use.
• Troubleshoot pipeline issues, monitor job performance, and drive continuous improvements.
• Support compliance efforts related to data privacy and governance, particularly under GDPR.
• Document processes clearly and help define best practices for data management.

Your Background

• 2–5 years of hands-on experience in a data engineering, backend development, or similar technical role.
• Strong command of SQL, data modeling, and performance optimization techniques.
• Proficiency in at least one programming language (Python preferred; Scala, Java also welcome).
• Familiar with modern data platforms and tools — such as Airflow, dbt, Snowflake, Redshift, or BigQuery.
• Experience working with both structured and semi-structured data formats (e.g., JSON, Parquet).
• Understanding of cloud-based infrastructure (AWS, GCP, or Azure).
• Good problem-solving and communication skills, with a strong sense of ownership.
• Comfortable working independently as well as in a cross-functional environment.

Bonus Points For

• Exposure to real-time data tools like Kafka, Kinesis, or Spark Streaming.
• Experience in a regulated or data-heavy industry (e.g., fintech, iGaming, telecoms, logistics).
• Knowledge of data warehousing concepts and dimensional modeling.
• Understanding of version control systems (Git) and deployment workflows.
• Interest in data privacy, ethics, and secure data handling.

Why Join Us

• Work on impactful data projects from day one
• Flexible work culture and modern tech stack
• Supportive environment that values learning and initiative
• Competitive salary and clear career growth path
• Be part of a small, agile team with global reach