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Data Engineer

Unlock employer Dubai, United Arab Emirates Posted: 30 Jun 2026

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Step into an exciting role with an innovative e-learning software company in the EdTech space as a Data Engineer. The company is a fast-growing scale-up revolutionizing e-learning with our award-winning authoring tool. Join us to build scalable data solutions that enable smarter decisions across Product, Marketing, Revenue, and Business Intelligence.

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What you will be doing

  • Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks.
  • Integrate data from platforms such as Salesforce, Mixpanel, Segment, Customer.io, Intercom, Google Analytics, and LinkedIn Ads.
  • Develop reliable data models, warehouses, and data lakes to support reporting and analytics.
  • Implement data quality, monitoring, governance, and security best practices.
  • Build AI-powered self-service analytics capabilities for business users.
  • Partner with Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions.
  • Optimize platform performance, reliability, and cost efficiency.

Requirements

  • 5+ years of Data Engineering experience.
  • Strong expertise in Snowflake, including architecture, performance optimization, governance, and security.
  • Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration.
  • Advanced SQL and Python skills.
  • Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures.
  • Strong understanding of data modelling, warehousing, and analytics engineering practices.
  • Experience integrating SaaS platforms and customer, product, marketing, or revenue data.
  • Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
  • Strong problem-solving skills, ownership mindset, and attention to detail.

Nice to have

  • Experience in a B2B SaaS environment.
  • Power BI experience, including data modeling and DAX.
  • Experience with Snowflake Cortex AI and AI-powered analytics solutions.
  • Knowledge of marketing attribution and revenue analytics.
  • Experience with Streamlit, Mixpanel, or similar analytics tools.

Work Conditions

  • Hybrid Working Policy: 3 days on-site / 2 days Work from Home (WFH) split.

If you're passionate about building modern data platforms and helping teams make smarter decisions with data, we'd love to hear from you. Apply today!

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