Senior Data Engineer- Only Immediate Joiner

CONNECTORSHR CONSULTING; Ras Al Khaimah; On-site; AED 120,000 - 200,000; Full time

Job summary

A data solutions firm based in Ras Al Khaimah is seeking an experienced Senior Data Engineer who will design, optimize, and maintain complex data pipelines and cloud-based data systems. The ideal candidate will lead the architecture for scalable data systems and mentor junior engineers, while ensuring data quality and driving the adoption of modern engineering practices. This role offers opportunities for collaboration with cross-functional teams to enable data-driven decision-making in a dynamic environment.

Qualifications

• 5-7 years of progressive data engineering experience.
• Proven expertise in cloud data solutions, large-scale data pipelines, and integration.

Responsibilities

• Lead architecture and solution design for scalable, efficient data systems.
• Build and optimize ETL/ELT pipelines, data models, and real-time streaming workflows.
• Ensure data quality, governance, and security through automation and best practices.
• Mentor junior engineers, set coding standards, and conduct reviews.
• Support analytics/data science teams with curated, high-quality datasets.
• Drive adoption of new tools, frameworks, and CI/CD practices in data engineering.
• Manage orchestration tools and data platforms.
• Implement APIs, serverless solutions, and cloud-native architectures.
• Document data flows, pipelines, and operational processes for maintainability.

Skills

Advanced proficiency in Python

Advanced proficiency in SQL

Advanced proficiency in PySpark

Advanced proficiency in Shell scripting

Strong knowledge of ETL/ELT

Strong knowledge of real-time streaming

Strong knowledge of data modeling

Strong knowledge of CI/CD

Strong knowledge of APIs (FastAPI)

Excellent communication skills

Education

Bachelor's in Computer Science/IT

Master's preferred

Tools

Airflow

ADF

Databricks

Snowflake

DBT

Qlik

Job description

Overview

We are seeking an experienced Senior Data Engineer with strong expertise in designing, optimizing, and maintaining complex data pipelines and cloud-based data systems. The role involves building scalable solutions, driving data quality, and collaborating with cross-functional teams to enable data-driven decision-making.

Key Responsibilities

• Lead architecture and solution design for scalable, efficient data systems.
• Build and optimize ETL/ELT pipelines, data models, and realtime streaming workflows.
• Ensure data quality, governance, and security through automation and best practices.
• Mentor junior engineers, set coding standards, and conduct reviews.
• Support analytics/data science teams with curated, high-quality datasets.
• Drive adoption of new tools, frameworks, and CI/CD practices in data engineering.
• Manage orchestration tools (Airflow, ADF, Databricks), data platforms (Snowflake, Databricks), and replication/transformation (DBT, Qlik).
• Implement APIs, serverless solutions, and cloud-native architectures.
• Document data flows, pipelines, and operational processes for maintainability.

Education & Experience

• Bachelor\'s in Computer Science/IT (Master\'s preferred).
• 5-7 years of progressive data engineering experience.
• Proven expertise in cloud data solutions, large-scale data pipelines, and integration.

Skills & Knowledge

• Advanced proficiency in Python, SQL, PySpark, Shell scripting.
• Strong knowledge of ETL/ELT, real-time streaming, data modeling, CI/CD, and APIs (FastAPI).
• Excellent communication and stakeholder collaboration skills.

Certifications

• Databricks Data Engineer Professional

Work Conditions