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Data Engineer – Data Integration Jobs in Cairo | IBM Consulting Careers with Snowflake, Azure & DBT Expertise
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Data Engineer – Data Integration Jobs in Cairo | IBM Consulting Careers with Snowflake, Azure & DBT Expertise

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IBM Consulting Careers in Cairo – Data Engineer (Data Integration)

Introduction

In today’s data-driven economy, organizations rely heavily on skilled professionals who can seamlessly integrate, manage, and transform data into actionable insights. IBM Consulting, a global leader in digital transformation and business technology solutions, is currently seeking an experienced Data Engineer – Data Integration to join its Cairo-based BTS-DTT-AI Analytics & Automation division.

This role is ideal for professionals with 5–7 years of experience in data engineering who possess expertise in Snowflake, Azure/Fabric, DBT, BW, Python, and SQL. The position requires a strong understanding of data modeling, data architecture, and cloud data integration, alongside hands-on proficiency in building scalable data pipelines and analytics frameworks.

Why This Role Matters

As businesses evolve, data becomes the foundation for innovation, strategy, and decision-making. Enterprises need robust frameworks that transform raw data into intelligence that drives growth and operational efficiency. The Data Engineer – Data Integration plays a pivotal role by:

  • Designing scalable ETL/ELT pipelines to integrate and cleanse large data sets.

  • Supporting the creation of data marts, data warehouses, and data lakes.

  • Enabling businesses to access real-time, trusted data for analytics, reporting, and decision-making.

  • Leveraging cloud technologies like Snowflake and Azure Fabric to implement modern data architectures.

This position ensures that organizations can harness the full potential of data while maintaining quality, security, and accessibility.

Key Responsibilities

As a Data Engineer within IBM Consulting, the selected candidate will take ownership of end-to-end data integration and solution delivery. Core responsibilities include:

1. Data Pipeline Development

  • Design and implement ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines using industry-standard tools such as Snowflake, DBT, and Azure Fabric.

  • Integrate operational and external data sources into enterprise data platforms.

  • Ensure pipelines are optimized for scalability, performance, and fault tolerance.

2. Data Architecture & Modeling

  • Design, build, and optimize data warehouses, data lakes, and data marts to support enterprise analytics.

  • Apply advanced modeling techniques such as dimensional modeling, third normal form, Kimball and Inmon methodologies.

  • Translate business requirements into analytic models that support reporting and AI-driven insights.

3. Data Quality & Governance

  • Build processes for data cleansing, validation, and enrichment to ensure integrity.

  • Work closely with business and IT teams to ensure adherence to data governance frameworks and policies.

  • Ensure compliance with enterprise data security, privacy, and regulatory requirements.

4. Solution Design & Delivery

  • Partner with cross-functional teams to deliver end-to-end data solutions.

  • Support full lifecycle implementation – from requirement gathering to production deployment.

  • Expose data for consumption via dashboards, APIs, and BI tools.

5. Continuous Innovation

  • Stay current with emerging technologies in cloud data integration, automation, and analytics.

  • Explore and apply cutting-edge techniques to enhance system efficiency and overall user experience.

  • Mentor and coach junior team members, fostering skill development and best practices in data engineering.

Required Skills and Expertise

To thrive in this role, candidates must possess a strong combination of technical proficiency, problem-solving ability, and business acumen. The following qualifications are required:

  • Educational Background: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

  • Technical Proficiency:

    • Advanced expertise in Snowflake and DBT.

    • Strong hands-on experience with Azure/Fabric cloud ecosystems.

    • Proficiency in Python and SQL for scripting, automation, and data transformation.

    • Experience with SAP BW for enterprise data management.

  • Data Modeling Expertise: Skilled in designing analytic models, industrial modeling, dimensional modeling, and normalization techniques.

  • Cloud Data Integration: Proven experience in cloud-native data integration strategies and frameworks.

  • Business Intelligence: Solid understanding of BI platforms and reporting tools.

Certifications That Strengthen Your Profile

IBM Consulting emphasizes continuous professional growth, and certifications play a key role in validating expertise. Preferred certifications include:

  • SnowPro Advanced: Data Engineer Certification

  • Microsoft Certified: Fabric Data Engineer Associate Certification

These certifications affirm not just technical proficiency but also a dedication to staying ahead with modern data engineering tools.

Desired Professional Experience

Beyond technical mastery, IBM values professionals who bring diverse perspectives and industry insight. Preferred experience includes:

  • Prior involvement in enterprise-level data transformation projects.

  • Proven ability to design solutions that meet complex business needs.

  • Work seamlessly with diverse teams across global consulting and technology domains.

  • Exposure to AI, automation, and advanced analytics integration.

About IBM Consulting

IBM Consulting is the global professional services arm of IBM, dedicated to helping organizations accelerate digital transformation. With expertise spanning business strategy, technology, and operations, IBM Consulting partners with some of the world’s most innovative companies to deliver meaningful business outcomes.

The consulting team leverages AI, hybrid cloud, data analytics, and automation to drive measurable results across industries including finance, healthcare, telecommunications, and manufacturing. By blending human creativity with advanced technologies, IBM Consulting empowers businesses to stay competitive in a rapidly evolving landscape.

Your Career at IBM

Being part of IBM means more than just a job – it’s an opportunity to build a meaningful career. Employees, known as IBMers, enjoy:

  • Continuous Learning: Access to world-class training, certifications, and professional development programs.

  • Innovation Culture: Encouragement to explore, experiment, and innovate using emerging technologies.

  • Collaborative Environment: Work with global teams, sharing knowledge and diverse perspectives.

  • Work-Life Flexibility: Opportunities for flexible working arrangements tailored to individual needs.

At IBM, a culture of growth is nurtured by inspiring professionals to remain curious, push boundaries, and achieve outstanding outcomes.

Life as an IBMer

IBM’s workplace culture is built on trust, inclusivity, and an unwavering drive for innovation.

  • Be Courageous: Take bold steps in solving client challenges.

  • Stay Curious: Continuously learn new skills and adapt to change.

  • Collaborate: Share ideas and co-create solutions with colleagues and clients.

  • Lead with Impact: Deliver outcomes that make businesses, communities, and societies stronger.

About IBM

IBM, founded in 1911, has a legacy of reinvention that has kept it at the cutting edge of technological progress. In the modern era, it is recognized worldwide as a leader in hybrid cloud, artificial intelligence, blockchain, and quantum computing, serving both Fortune 50 corporations and global governments.

With over a century of industry leadership, IBM remains committed to responsible technology adoption, ensuring that digital transformation benefits businesses, individuals, and society at large.

Diversity and Inclusion

IBM takes pride in being an equal opportunity employer. The organization embraces diversity across race, gender, age, sexual orientation, disability, and cultural background. By fostering an inclusive environment, IBM ensures that every employee can thrive and bring their authentic self to work.

Why Join IBM as a Data Engineer – Data Integration?

Choosing IBM Consulting as your next career step offers more than technical challenges—it provides a platform to make a real impact. Here’s why:

  • Global Exposure: Work on international projects with Fortune 500 companies.

  • Cutting-Edge Tools: Gain hands-on experience with the latest in cloud, AI, and automation.

  • Career Growth: Accelerate your career with structured learning pathways and certifications.

  • Purpose-Driven Work: Contribute to projects that influence industries and societies worldwide.

Conclusion

The Data Engineer – Data Integration role at IBM Consulting in Cairo presents an exciting opportunity for experienced professionals eager to work on global projects at the intersection of data, cloud, and AI. With responsibilities spanning data pipeline development, modeling, and integration, this position is designed for engineers who want to shape the future of data-driven decision-making.

If you have expertise in Snowflake, Azure/Fabric, DBT, Python, SQL, and cloud integration, and aspire to be part of a global technology leader, this role could be the perfect next step in your career.

Apply Here

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