Role overview

Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, or related field
6+ years of experience in data engineering and data architecture in enterprise environments
Hands-on experience with Snowflake
Experience with cloud platforms (AWS, Azure, or GCP) and proficiency in SQL and at least one programming language (Python, Java, or Scala)

Responsibilities

Design and implement scalable, high-performance data pipelines for structured and unstructured data
Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP)
Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming)
Ensure data quality, governance, security, and compliance across all data assets

Key facts

Remote from: Egypt
Fixed term
Expert & Leadership (>10 years)
Data Architect
English

Other skills

Communication
Analytical Thinking
Problem Solving

About the company

robusta

Information Technology & Services

Robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany.

Company details

Company typeSME

IndustryInformation Technology & Services

Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

Key Responsibilities

Design and implement scalable, high-performance data pipelines for structured and unstructured data
Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP)
Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming)
Collaborate with business stakeholders to translate requirements into technical solutions
Ensure data quality, governance, security, and compliance across all data assets
Perform complex data analysis and support reporting and analytics initiatives
Evaluate and recommend modern tools, frameworks, and best practices in data engineering
Integrate data from multiple sources and optimize data performance
Provide technical direction and architectural guidance across data projects

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
6+ years of experience in data engineering and data architecture in enterprise environments
Hands-on experience with Snowflake is required
Strong experience with ETL/ELT pipelines, data lakes, and data warehouses
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Proficiency in SQL and at least one programming language (Python, Java, or Scala)
Experience with streaming technologies (Kafka, Spark Streaming, or similar)
Strong understanding of data modeling, dimensional modeling, and schema design
Knowledge of data governance, security, and compliance
Strong problem-solving skills and ability to work independently
Excellent communication skills with both technical and non-technical stakeholders

Nice to Have

Experience working in Middle East markets or familiarity with Saudi Arabia regulations
Exposure to AI/ML integration within data pipelines
Cloud certifications (AWS, Azure, or GCP Data Engineering certifications)
Experience with BI tools (Power BI, Tableau, Looker, or similar)

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