Backend Engineer — Data Pipelines

Ekrocx Technologies is a digital transformation consultancy helping enterprise brands build and scale next-generation commerce, data, and analytics solutions across the GCC and beyond. We partner with leading retailers, CPG companies, and B2B organisations to unlock measurable growth through technology and insight.

By combining deep technical expertise with strategic business understanding, we deliver reliable, scalable solutions that enable our clients to innovate faster, streamline operations, and stay ahead in an ever-evolving digital landscape.

About the Role

As a Backend Engineer focused on Data Pipelines, you'll design, build, and maintain the data infrastructure that feeds analytics, AI models, and business intelligence tools across Ekrocx's enterprise client portfolio. You'll work closely with our data architects and AI/ML engineers to ensure clean, reliable, and timely data flows.

Responsibilities

• Design and implement robust ELT/ETL pipelines for high-volume retail and CPG data sources.
• Build and maintain Apache Airflow DAGs for orchestrating complex data workflows.
• Develop connectors and integrations between ERP systems, commerce platforms, and data warehouses.
• Ensure data quality through schema validation, monitoring, alerting, and automated testing.
• Optimise query performance across BigQuery, Snowflake, or similar cloud data warehouses.
• Collaborate with Data Architects to implement data governance standards and access controls.
• Document pipelines and data contracts to support cross-team data discovery.

Requirements

• 4+ years of backend engineering experience with a strong focus on data engineering.
• Proficiency in Python and SQL; experience writing production-grade, testable code.
• Hands-on experience with Apache Airflow or a comparable orchestration tool (Prefect, Dagster).
• Experience building pipelines on cloud data platforms: Snowflake, BigQuery, or Azure Synapse.
• Understanding of data lake architectures, partitioning strategies, and file formats (Parquet, Delta Lake).
• Familiarity with version control best practices and CI/CD for data pipelines.

Nice to Have

• Experience with dbt for data transformation and modelling.
• Knowledge of streaming systems such as Kafka or Apache Flink.
• Exposure to Shopify, SAP, or Oracle ERP data models.
• Understanding of data mesh or data product principles.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working arrangements — remote-friendly with global office access.
• AED 8,000 annual learning and development budget.
• Full health, dental, and vision coverage from day one.
• Access to a senior mentorship network across all disciplines.
• Regular team off-sites, knowledge-sharing sessions, and career reviews.