Senior Data Engineer

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

Job summary

A leading data solutions provider in Abu Dhabi is seeking a Senior Data Engineer with 7–10+ years of experience. The role involves building and optimizing scalable data pipelines, developing ETL processes, and collaborating with cross-functional teams on advanced analytics projects. Candidates must be proficient in Python and have strong SQL and cloud services experience. This is a full-time onsite position with high-impact responsibilities.

Benefits

High-impact projects

Collaborative work environment

Modern technologies

Qualifications

• 7–10+ years of professional experience in data engineering.
• Proficiency in Python is mandatory.
• Strong SQL expertise and experience with NoSQL databases.
• Hands-on experience with cloud data warehousing and data lakes.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize ETL/ELT processes.
• Implement data models and warehouse solutions with a focus on Snowflake.
• Collaborate with data scientists and ML engineers.

Skills

Python

SQL

NoSQL databases

Data modeling

ETL/ELT processes

Orchestration tools

Cloud data warehousing

Snowflake

Big Data

Tools

Airflow

Cloud-native services

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.