Data Engineer - ETL Pipelines

About the role

Sliema Data Labs Ltd is a growing data engineering and analytics consultancy supporting clients across fintech, iGaming and retail from its Sliema office. Our teams deliver cloud-native data platforms, reporting solutions and machine learning pipelines for both local and international clients.

The Data Engineer will join a cross-functional data platform team and take ownership of ETL pipeline design, implementation and observability. You will work closely with data scientists, BI engineers and backend developers to ensure data is accurate, discoverable and delivered on schedule. This is an excellent opportunity for someone who enjoys end-to-end pipeline work, performance tuning and introducing best-practice engineering into data workflows.

We offer hybrid working, learning budget and direct exposure to cloud tools and modern data stack components. The role provides strong career progression for engineers who want to move into platform or architecture leadership within a compact, collaborative Maltese tech environment.

About Sliema Data Labs Ltd

Sliema Data Labs Ltd is a Malta-based data engineering consultancy delivering analytics platforms, ETL solutions and machine-learning infrastructure for clients in fintech, iGaming and retail. The company combines local market knowledge with international technical practices to help clients make data-driven decisions.

What you can expect

• Hybrid work with modern seafront office in Sliema
• Training & certification budget
• Performance-related bonus scheme
• Clear progression paths to Lead/Architect roles

Key responsibilities

• Design, build and maintain robust ETL/ELT pipelines for batch and streaming data ingestion.
• Implement data transformations and models to support analytics, BI and ML teams.
• Maintain data quality, validation checks and monitoring/alerting for pipelines.
• Work with cloud services (AWS/GCP/Azure) to deploy scalable data solutions.
• Collaborate with product owners and data scientists to understand data requirements.
• Optimize pipeline performance and cost through profiling and tuning.
• Write clear documentation for data schemas, lineage and operational runbooks.
• Participate in code reviews, CI/CD setup for data pipelines and automated testing.
• Troubleshoot incidents and participate in an on-call rota for critical production issues.

Requirements

• Minimum 3 years' professional experience in data engineering or related role.
• Proven experience building ETL/ELT pipelines using Python and SQL.
• Hands-on experience with orchestration tools such as Apache Airflow or similar.
• Familiarity with at least one cloud platform (AWS, GCP or Azure) and cloud data services.
• Strong SQL skills and experience with relational databases; exposure to columnar stores (e.g. Snowflake, BigQuery) preferred.
• Experience with version control (Git), containerisation (Docker) and CI/CD practices.
• Good problem-solving skills, attention to data quality and documentation.
• Fluent English (working language) and the legal right to work in Malta.

How to apply

Apply via the job URL or send your CV and a short cover note outlining your ETL experience and notice period to [email protected].