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Data, Engineer

Masterworks

Engineering & Construction

πŸ“ Saudi Arabia
πŸ’Ό Full-time
πŸ•’ Posted 3 weeks ago

Job description

Role Overview

Masterworks is seeking a Data Engineer to build and operate a scalable, secure, and reliable data platform that enables analytics, data science, and downstream applications. The role is based at a client site.

Role Purpose

Design and operate core data infrastructure, developer tooling, and self-service capabilities that empower teams to work with data efficiently and safely.

Key Responsibilities

Data Platform & Infrastructure

  • Design, build, and maintain the data platform and core data infrastructure.
  • Manage and optimize data storage solutions (data warehouses, data lakes).
  • Integrate data from multiple sources (APIs, databases, streaming systems, etc.).

Pipeline Development & Orchestration

  • Build reusable, self-service data pipelines and platform services for internal teams.
  • Implement data orchestration, observability, and monitoring across the platform.
  • Monitor, troubleshoot, and improve performance of data workflows.

Data Quality & Governance

  • Ensure data quality, integrity, and reliability across systems.
  • Define and enforce data platform standards, best practices, and architectural patterns.
  • Implement best practices for data security, governance, and compliance.

Documentation & Collaboration

  • Document data architecture, pipelines, and processes.
  • Collaborate with cross-functional teams to understand data requirements.

Qualifications & Experience

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong experience building and operating data platforms or large-scale data systems.
  • Strong experience with Informatica (PowerCenter, Informatica Intelligent Cloud Services, or similar).
  • Experience with data orchestration tools (Airflow, Dagster, Prefect, or similar).
  • Experience with infrastructure-as-code (Terraform or similar).

Skills & Competencies

  • Advanced SQL proficiency.
  • Strong programming skills (Python, Java, or Scala).
  • Solid understanding of data lake, warehouse, and Lakehouse architectures.

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