Senior Data Engineer

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.

Required Skills & Qualifications:

Experience: 8–12 years in data engineering, with strong ETL and data pipeline expertise.

A degree in Computer Science, Engineering, Data Science, or a related analytical field .

Advanced proficiency in data engineering, data processing, migrations, access, and pipeline development.

Strong skills in SQL, Python, and modern data frameworks/tools (e.g., Airflow, Spark, Hadoop)

Proficient in ETL tools and processes.

Ability to design scalable and efficient data architectures.

Familiarity with cloud platforms (AWS, Azure, GCP) and data storage technologies.

Experience working with multiple teams to identify requirements and deliver comprehensive solutions.

Proven decision-making capabilities in collaborative environments.

Why join us?

We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues

You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools

Flexible work arrangements and a range of benefits including competitive rewards

You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends

You will also have opportunities to make a difference to the communities in which we work and live

Next Steps:

If this sounds like the ideal role, career and company for you, click to apply.

To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.

Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube