Falahly is an AI-powered job matching platform for the MENA (Middle East and North Africa) region. It uses vector embeddings and skill ontology matching to connect job seekers with relevant positions in UAE, Saudi Arabia, Egypt, Qatar, Kuwait, Bahrain, and beyond.

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Falahly covers the full MENA region including UAE (Dubai, Abu Dhabi), Saudi Arabia (Riyadh, Jeddah), Egypt (Cairo), Qatar (Doha), Kuwait, Bahrain, Jordan, Oman, Lebanon, Morocco, and Tunisia.

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Employers can post jobs and access Falahly's candidate database through the Employer portal at https://falahly.com/employers. Contact us at support@falahly.com for enterprise plans and bulk posting options.

How do I apply for the Principal Data Engineer job at Vertex Technologies ?

Click the Apply Now button on this page to apply for the Principal Data Engineer position at Vertex Technologies . You will be redirected to the original job listing to complete your application.

Where is the Principal Data Engineer position located?

This Principal Data Engineer role is based in Cairo, Egypt.

Principal Data Engineer

🏢 Vertex Technologies

📍 Cairo, EgyptFull-timeOn-site

📅 Posted: 3w ago🔄 Updated: 3w ago

CV%

✨ AI Summary

We are seeking a Principal Data Engineer to lead the technical side of client engagements, focusing on designing data architectures, planning work, and leading delivery teams. This hands-on role involves writing and reviewing code, troubleshooting production issues, and ensuring data platforms are correct, cost-predictable, and manageable by clients post-engagement. Key responsibilities include owning technical delivery, leading engineering teams, setting technical standards, supporting presales, and mentoring engineers. Candidates should have 6+ years of data engineering experience, including designing and delivering at least one end-to-end platform. Proficiency in Python, SQL, and Spark is mandatory, along with experience in data modeling, streaming, governance, and cloud infrastructure. The role requires strong leadership, delivery ownership, and client-facing communication skills. Experience with various data platforms like Databricks, Snowflake, BigQuery, or Synapse, and cloud providers (AWS, Azure, GCP) is expected. Nice-to-haves include migration experience, work in regulated domains, and certifications.

Required Skills

Information Technology

○Python○SQL○Apache Spark○PySpark○Apache Airflow○dbt○Databricks○Snowflake○BigQuery○Kafka○Data Engineering & Analytics○Data Modeling○Lambda○Data Architecture○Data Lineage○Monitoring○Terraform○CI/CD○Docker○Kubernetes○AWS○Azure○GCP○Demo Environments○Code Review○Prompt Engineering○Informatica

Other

○Dagster○Synapse○Kinesis○Event Hubs○Spark Structured Streaming○Flink○Iceberg○Data Catalogs○Access Control○Data Contracts○Modules○Tests○Spark Tuning○Spark UI○Incremental Loads○Late Arriving Data○Delivery Guarantees○Watermarks○Access Models○SLAs○Technical Explanations○Technical Standards○software development

Design, Content & Media

○Production Design

Engineering, Construction & Trades

○Packaging○Site Management○Systems Engineering

Science & Research

○Optimization

Business, Sales & Management

○Mentoring○Instructional Design

Soft Skills & Professional Competencies

○Communication○Organizational Development

🎁 Benefits & Perks

Long-term career stability, competitive salary paid in USD, conditions for steady career development, development supported by dedicated mentors and a variety of programs, private medical insurance provided after successful completion of the probationary period, a well-equipped and cozy office, welcoming atmosphere and a friendly corporate culture.

Requirements

Your SkillsExperience: 6+ years in data engineering, including at least one platform you designed and delivered end-to-end.Team leadership: lead teams of 3-8 engineers - plan and distribute work, review code, unblock people, and stay accountable for what the team ships.Delivery ownership: estimate, plan, and re-plan; flag risks early; keep scope and timelines realistic.Python: production code - modules, tests, packaging; frameworks other engineers build on.SQL: complex transformations, execution plans, optimization on large tables.Spark: partitioning, shuffles, memory, skew - you debug jobs from the Spark UI and logs.Modeling: dimensional models, SCD, incremental loads, backfills, late-arriving data.Streaming: at least one production pipeline - delivery guarantees, watermarks, state.Governance: access models, lineage, quality checks, and the SLAs around them.Infrastructure: environments provisioned as code and deployed through CI/CD.Cost: you can explain what a workload costs and reduce it.Client work: requirements gathering, estimates, technical explanations to non-engineers.Growing engineers: mentoring, code review, and setting technical standards on the project.English: B2 or higher. Nice to HaveMigrations: on-premises to cloud, legacy warehouse to lakehouse, or cross-cloud.Regulated domains: finance, healthcare, or telecom - GDPR, HIPAA, or SOC 2.Certifications: professional level (Databricks, AWS, Azure, GCP).Scala: for Spark workloads.Kubernetes: in production.

Description

Role SummaryYou lead the technical side of client engagements: design the architecture, plan the work, and lead the team that delivers it. You are accountable for what ships - architecture, quality, and timelines - and the role stays hands-on: writing code, reviewing it, and troubleshooting production are part of the job. Platforms differ from client to client, so we look for principles and depth rather than experience with one specific vendor stack. The MissionData platforms that work in production: correct data, predictable cost, and a client team able to run them after we leave. The Tech StackCore languages: Python, SQL.Processing: Spark/PySpark, including tuning and troubleshooting.Orchestration & transformation: Airflow or Dagster; dbt.Platforms: Databricks, Snowflake, BigQuery, or Synapse - depth in at least one, and the basis to choose between them.Streaming: Kafka, Kinesis, or Event Hubs; Spark Structured Streaming or Flink.Architecture: lakehouse formats (Delta, Iceberg), dimensional modeling, Lambda/Kappa.Governance & quality: catalogs, lineage, access control, data contracts, monitoring.Infrastructure: Terraform, CI/CD, Docker; Kubernetes basics.Cloud: AWS, Azure, or GCP - one at an advanced level. Your ResponsibilitiesOwn technical delivery on engagements: architecture, plan, quality, and timelines.Lead the engineering team day-to-day - distribute work, review code, unblock people.Build alongside the team: you write and review code, not only design it.Set technical standards on the project - monitoring, quality checks, CI/CD, reproducible environments.Support presales: assessments, technical audits, estimates.Mentor Middle and Senior engineers, and take part in technical interviews. What We OfferLong-term career stability with a competitive salary paid in USD.Conditions for steady career development.Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.Private medical insurance provided after successful completion of the probationary periodA well-equipped and cozy office supports comfort and productivity across all project stages.Welcoming atmosphere and a friendly corporate culture.

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