Data Engineer: Build Scalable Pipelines & Insights

EMSTEEL Group; Abu Dhabi; On-site; AED 279,000 - 502,000; Full time

Job summary

EMSTEEL Group in Abu Dhabi is seeking a Data Engineer to design, build and maintain robust data infrastructure to support large-scale data processing and analytics initiatives. You will implement ETL pipelines, data integration, and modeling to ensure reliable data for decision-making.

With 3+ years of data engineering experience, you will work across data warehouses and data lakes, emphasizing data quality, security, and scalable performance.

Qualifications

• Bachelor’s or Master’s in Computer Science or a related field.
• 3+ years of experience in data engineering, with a strong focus on machine learning and statistical modeling.
• Azure/ AWS Certified (Nice to have)
• Experience in working with data Science and BI tasks (Nice to have)

Responsibilities

• Data pipeline development: design and construct ETL pipelines from diverse sources into data warehouses or data lakes.
• Data integration: combine data from databases, APIs, streaming platforms, and external providers.
• Data modeling: design data models for efficient querying, reporting, analytics, and ML.
• Data warehousing: work with data warehouses like Redshift, BigQuery, or Snowflake.
• Data quality assurance: implement data validation and cleansing procedures.
• Performance tuning: optimize pipelines and databases for performance and scale.
• Data security: implement security measures and ensure data privacy compliance.
• Monitoring and maintenance: monitor pipelines, troubleshoot, and perform routine maintenance.
• Documentation: maintain up-to-date docs for pipelines, schemas, and processes.
• Collaboration: work with data scientists, analysts, and stakeholders to meet data needs.

Skills

Data engineering

Machine learning

Statistical modeling

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Azure

AWS

Job description

EMSTEEL Group in Abu Dhabi is seeking a Data Engineer to design, build and maintain robust data infrastructure to support large-scale data processing and analytics initiatives. You will implement ETL pipelines, data integration, and modeling to ensure reliable data for decision-making.

With 3+ years of data engineering experience, you will work across data warehouses and data lakes, emphasizing data quality, security, and scalable performance.