9H Digital

Data Engineer – AI & ML Systems

9H Digital

full-time

Posted on:

Location Type: Hybrid

Location: Sliema • 🇲🇹 Malta

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Salary

💰 €50,000 - €60,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSparkSQL

About the role

  • Design and implement robust data pipelines across batch and streaming systems
  • Structure and transform data from diverse sources (e.g., databases, APIs, unstructured files)
  • Define and manage scalable data infrastructure using tools like Spark, Delta Lake, and MLflow
  • Support the AI development process with clean, reliable, and production-ready datasets
  • Contribute to AI-enabled client solutions, focusing on data quality, traceability, and integration
  • Help define best practices and reusable foundations for AI/data delivery projects

Requirements

  • Have a bachelor’s degree or higher in Computer Science or a related field.
  • Fluency in the English language is a must
  • 3+ years of experience in building production-grade data pipelines and infrastructure
  • 3+ years of experience in Python and SQL
  • Knowledge in Spark or similar frameworks
  • Experienced with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or comparable alternatives.
  • Knowledge in Dash, Streamlit, Jupyter notebooks, and data visualization tools for prototyping and delivery is preferred
  • Care deeply about data quality, lineage, and performance in real-world deployments
  • Want to collaborate cross-functionally with ML engineers and product teams
  • Have some exposure to ML workflows or want to deepen your AI/ML skillset over time
Benefits
  • Ample learning and development opportunities
  • A fully flexible working environment
  • Project ownership, independence and empowerment
  • Exposure to the latest technologies and digital solutions
  • Fridays work until 15.00

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipelinesdata infrastructurePythonSQLSparkDelta LakeMLflowDashStreamlitdata visualization
Soft skills
data qualitycollaborationcross-functional teamworkcommunication