Senior Analytics Engineer

Payrails

. Develop and maintain the data warehouse and curated, analytics-ready datasets used across the company .

Posted 10/2/2026full-timeCairo • EgyptSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, focusing on data warehouse development, dbt codebase management, and integration of third-party data sources. Proficient in Python, SQL, and data modeling principles, with a strong emphasis on collaboration and communication across teams.

Highest-signal resume keywords

Python ProgrammingDbt Codebase ManagementSQL-Based Data TransformationData Modeling PrinciplesCloud Platforms (AWS, GCP, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Warehouse DevelopmentData TransformationDimensional ModelingStar/Snowflake SchemaOrchestration Tools (Airflow)Containerization (Docker)KubernetesAnalytics-Ready DatasetsData IntegrationData Documentation

Soft Skills

Excellent CommunicationCross-Functional CollaborationSelf-Starter Mindset

Tools & Technologies

HubSpotGitHubLinearSnowflakeBigQueryRedshift

Industry Keywords

Data EngineeringAnalyticsData DemocratizationData TrustReproducibility

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

Develop and maintain the data warehouse and curated, analytics-ready datasets used across the company
Own and evolve the dbt codebase, applying best practices in modularity, testing, and documentation
Integrate third-party data sources such as HubSpot, GitHub, and Linear into the data ecosystem
Build and maintain tooling and infrastructure to improve the development experience of analytics and business users
Partner with analysts and stakeholders to design and implement scalable data models supporting self-serve analytics
Advocate for data engineering and analytics best practices, ensuring data trust, documentation, and reproducibility
Champion data democratization by ensuring teams have the right tools and trusted data for informed decisions

Requirements

What you’ll need

Proven experience in analytics or data engineering roles, with a strong focus on enabling downstream analytics and reporting
Strong proficiency in Python for scripting, tooling, and data transformation tasks
Hands-on experience with dbt and SQL-based data transformation pipelines
Deep understanding of data modeling principles (e.g. dimensional modeling, star/snowflake schema)
Familiarity with modern OLAP data warehouses like Snowflake (preferred), BigQuery, or Redshift
Experience working with orchestration tools such as Airflow or similar
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes is a plus)
Excellent communication skills and the ability to work cross-functionally with technical and non-technical stakeholders
Self-starter mindset with a passion for clean, documented, and tested data code

Benefits

Comp & perks

Hybrid working with an office in the heart of New Cairo
Regular team events, activities and off-sites
Competitive salary and equity package
27 days of annual paid vacation
High impact and high velocity environment with the most talented and ambitious people you will ever work with
A chance to shape the story of a company and a category from the ground up
Real ownership. You’ll have the freedom and trust to build, test, and take lead
A product used by the best brands around the world