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Senior Data Engineer

Accenture

Riyadh

On-site

SAR 150,000 - 200,000

Full time

Today
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Job summary

A global consulting firm in Riyadh is seeking a Data Engineer Consultant to design and manage data solutions. You will implement data pipelines and ensure data quality while collaborating with diverse teams to influence strategic decisions. Ideal candidates should possess strong skills in data pipeline design and ETL workflows. This role emphasizes innovation and teamwork to enhance client services, providing significant opportunities for professional growth.

Qualifications

  • Experience in designing and managing data pipelines and ETL processes.
  • Proficiency in data management principles and practices.
  • Ability to collaborate across multiple teams effectively.

Responsibilities

  • Design and implement end-to-end data pipelines for large datasets.
  • Conduct regular assessments to ensure data integrity.
  • Develop innovative data solutions to enhance efficiency.

Skills

Data pipeline design
ETL/ELT workflows
Data integrity assessment
Collaborative team engagement
Job description

Accenture Technology: Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com

Role Overview:

As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components—from data pipelines to ETL flows—maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.

Key Responsibilities:
  • Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows to move, transform, and load large datasets. Ensure efficiency, scalability, and reliability.
  • Conduct regular assessments to ensure data integrity and consistency. Implement validation and monitoring mechanisms across pipelines.
  • Develop innovative, high-performance data solutions that enhance operational efficiency and elevate the customer experience.
  • Engage with product teams, data scientists, and business stakeholders to understand requirements and translate them into effective data solutions.
  • Serve as an SME and guide technical decisions. Collaborate with peers and mentor team members on best practices.
  • Monitor pipelines for performance, troubleshoot issues, and implement enhancements for scalability and efficiency.
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