Senior Data Engineer

NorthBay Solutions; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading data technology firm in Abu Dhabi is seeking a Senior Data Engineer with 7–10+ years of experience. The ideal candidate will have expertise in building scalable data pipelines and strong skills in Python and SQL. This onsite role offers the chance to work on high-impact data engineering projects, focusing on modern cloud-based technologies like Snowflake. Collaborate in a dynamic environment with cross-functional teams committed to enterprise data modernization.

Benefits

Collaborative work environment

Opportunity for career growth

Engagement in high-impact projects

Qualifications

• 7–10+ years of professional experience in data engineering.
• Proficiency in Python (mandatory).
• Strong SQL expertise.
• Hands-on experience with cloud data warehousing.
• Proven experience designing and managing data pipelines in Snowflake.
• Experience handling large volumes of structured and unstructured data.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize ETL/ELT processes.
• Implement data models and warehouse solutions.
• Integrate and process data from diverse sources.
• Ensure data quality and governance.
• Collaborate with data scientists for analytics preparation.

Skills

Python

SQL

NoSQL

Data Modeling

ETL/ELT Processes

Airflow

Cloud Data Warehousing

Snowflake

Big Data

Job description

Job Title: Senior Data Engineer
Location: Abu Dhabi, UAE (Onsite)
Employment Type: Full-Time, Permanent

About the Role

We are seeking a highly skilled Senior Data Engineer with 7–10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.

Key Responsibilities

• Design, build, and maintain scalable, reliable, and high-performance data pipelines.

• Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.

• Implement data models and warehouse solutions with a focus on Snowflake.

• Integrate and process data from diverse sources including SQL and NoSQL databases.

• Ensure data quality, governance, and security standards are maintained across all systems.

• Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.

• Work closely with business stakeholders to translate requirements into data engineering solutions.

• Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.

Required Skills & Qualifications

• Experience: 7–10+ years of professional experience in data engineering.

• Programming: Proficiency in Python (mandatory).

• Data Engineering: Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).

• Cloud: Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).

• Snowflake: Proven experience designing and managing data pipelines/warehousing in Snowflake.

• Big Data: Experience handling large volumes of structured and unstructured data.

• Desired Skills: Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.

Why Join Us

• Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.

• Collaborative work environment with cross-functional teams in cloud, data, and ML domains.

• Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.