Senior Data Engineer

Unifonic

Senior Data Engineer at Unifonic responsible for building enterprise Data Lake and data capabilities. Collaborating with teams to provide insights about customers and performance.

Posted 7/15/2026full-timeRemote • 🇪🇬 EgyptSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Big Data, with a strong focus on ETL Development, Data Lake technologies, and database management. Capable of evolving data architecture and building end-to-end data capabilities to support a data-driven organization.

Highest-signal resume keywords

Data EngineeringETL DevelopmentData Lake TechnologiesPython ProgrammingDatabase Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL DevelopmentData LakeDatabase EnginesData ProcessingData ManagementData WarehouseApache KafkaApache SparkSQL

Soft Skills

Analytical SkillsOrganizational Abilities

Tools & Technologies

VerticaGreenplumClouderaApache NiFiImpala

Industry Keywords

Data PracticesData ArchitectureData IngestionData ReportingData Integration

Tech Stack

Tools & technologies

ApacheETLGreenplumJavaKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Invest in our "Data Foundation" space to become a data-driven organization
Provide our business with needed insights about our customers, performance, and future predictions
Responsible for building the future enterprise Data Lake for Unifonic
Develop end-to-end data-related capabilities from data ingestion to reporting
Help establish industry best practices for the data engineering team
Build the needed capabilities for the organization to become more data-driven
Evolve our data architecture by determining structural requirements
Develop and install solutions
Test and maintain those databases to ensure their longevity and overall efficiency

Requirements

What you’ll need

Hands-on 6+ years of experience in Data Engineering and Big Data
Proven work experience with ETL Development or similar areas
Advanced knowledge in Database Engines, Data Lakes, Data Practices, and policies
In-depth understanding of database structure principles, integration, ETL, ELT, data processing, and data management
Expertise in Data Warehouse & Data Lake technologies
Such as Vertica, Greenplum, Cloudera framework/ecosystems, Apache Kafka, ApacheNiFi, Apache Spark, Impala, etc)
Hands-on experience with programming languages, such as Python, Java, Scala, and SQL
Experienced in assembling large, complex data sets that meet functional / non-functional business requirements
Experienced in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources technologies
Bachelor’s degree in a related field
Analytical skills and strong organizational abilities.

Benefits

Comp & perks

Competitive salary and bonus
Unifonic share scheme (we are all owners!)
30 holiday days after the first anniversary
Spend up to 10 weeks per year working from anywhere in the world!
Paid leave for new parents
LinkedIn Learning License