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Data Engineer

Skills

airflowapicloudcloud nativedata engineeringdata pipelinesgitopsgrafanaicebergkafkakubernetesobservabilitypandaspostgresqlprometheuspysparkpythons3sparksqlPythonPostgreSQLKubernetesKafka

Description

Data Engineer (Python / Distributed Data Platforms)

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Relocation to Malta Required | Permanent | Remote from Malta

We have partnered with a growing European technology company that is investing heavily in its data platform and engineering capabilities.

As part of their expansion, they are seeking Data Engineers across multiple levels, including:

  • Data Engineer II (3-5 years)
  • Data Engineer III (5-8 years)
  • Staff Data Engineer (10-12 years)

This is an opportunity to build and scale modern distributed data platforms capable of handling large-scale data workloads while working with a cutting-edge open-source technology stack.

What You’ll Be Doing

  • Design and develop scalable batch and real-time data pipelines
  • Build reliable distributed data systems handling large-scale datasets
  • Work with diverse data sources, APIs, legacy systems, and modern applications
  • Own data products and pipelines throughout their lifecycle
  • Improve platform reliability, observability, and performance
  • Contribute to architecture and technical design decisions
  • Support production environments and drive operational excellence

Technology Stack

  • Python
  • PySpark & Pandas
  • SQL & PostgreSQL
  • Apache Spark
  • Kafka / Redpanda
  • Airflow / Temporal
  • Apache Iceberg / Hudi
  • S3-Compatible Object Storage
  • Kubernetes
  • GitOps
  • Prometheus & Grafana
  • Go (or willingness to learn)

What We're Looking For

  • Strong experience in Data Engineering, aligned to the level applied for
  • Solid Python and SQL expertise
  • Experience building and maintaining production-grade data pipelines
  • Hands-on experience with distributed data processing technologies
  • Understanding of batch and streaming architectures
  • Experience with orchestration frameworks such as Airflow, Temporal, or similar
  • Familiarity with cloud-native environments and Kubernetes
  • Strong software engineering and problem-solving skills

Why Join?

  • Competitive salary and benefits package
  • Relocation support to Malta
  • Work on large-scale distributed data platforms
  • Modern open-source technology stack
  • Strong engineering culture and technical autonomy
  • International and collaborative environment
  • Clear career progression from Data Engineer to Staff Engineer

Why Malta? xysqume

  • Over 300 days of sunshine each year
  • Mediterranean lifestyle with excellent work-life balance
  • English-speaking, international business environment
  • Easy access to major European destinations
  • Growing technology and innovation ecosystem
  • Malta offers attractive tax frameworks for eligible highly skilled professionals, which may result in a lower effective tax burden compared to many other European jurisdictions, subject to individual eligibility and applicable regulations

Important: Relocation to Malta is a mandatory requirement for this position.

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