Innovation Hub | AI & Data Engineer, Cairo, Egypt

Egypt | Deloitte Innovation Hub | Posted on 09-May-2023

Position Summary

Location
Cairo, Egypt Delivery Center

AI & Data Engineer, Cairo, Egypt

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, that covers audit, risk advisory, and consulting services across tax, legal, business, technology, and corporate finance, we help our clients’ become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

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  • Data Ingestion and Extraction: Collect and extract data from various sources, such as databases, APIs, logs, and flat files. This involves setting up data pipelines or ETL (Extract, Transform, Load) processes to gather and prepare the data for analysis.
  • Data Transformation: Clean, pre-process, and transform raw data into structured formats suitable for analysis. This includes handling missing data, data normalization, and data quality checks.
  • Database Management: Design, develop, and maintain databases and data warehouses. Optimize database performance, manage schema changes, and ensure data security.
  • Data Modelling: Create and maintain data models to support business reporting and analytics. This might involve designing star or snowflake schemas for data warehouses or defining data structures for NoSQL databases.
  • ETL Development: Develop and maintain ETL jobs and workflows using tools like Apache Spark, Apache Nifi, or cloud based ETL services. Ensure data pipelines are reliable and scalable.
  • Data Quality Assurance: Implement data quality checks and validation procedures to identify and rectify data anomalies or discrepancies. Monitor data pipelines for errors and perform data reconciliation.
  • Reporting and Visualization: Collaborate with data analysts and data scientists to create dashboards and reports that provide insights to clients. Use tools like Tableau, Power BI, or custom visualization libraries.
  • Model Training and Evaluation: Train machine learning models using collected data, Perform testing to validate models, Evaluate model performance using appropriate metrics and techniques, Fine-tune models to improve predictive accuracy.
  • Documentation and Communication: Maintain documentation for data pipelines, data models, and processes. Communicate findings and project progress effectively to clients and team members.


Connect to your skills and professional experience

  • Bachelor's Degree or equivalent in a Relevant Field
  • Data Processing Tools and Technologies: knowledge of data processing tools and technologies commonly used in data engineering roles, such as Apache Spark, Hadoop, Apache Kafka, or cloud-based data processing services (e.g., AWS Glue, Azure Data Factory).
  • Database Skills: Familiarity with relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) is important for data storage and retrieval.
  • ETL (Extract, Transform, Load) Knowledge: Understanding of ETL processes and tools for data ingestion, transformation, and loading. Experience with ETL frameworks like Apache NiFi or Talend can be advantageous.
  • Scripting and Programming: Proficiency in scripting languages like Python or programming languages like Java can be valuable for data engineering tasks, including data manipulation and automation of data pipelines.
  • Data Modelling and Schema Design: Basic knowledge of data modelling concepts, including the design of data schemas for data warehouses, data lakes, or NoSQL databases.
  • Knowledge in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
  • Knowledge of developing and fine-tuning machine learning models.

Connect to your service line - Consulting

Distinctive thinking, deep expertise, and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we’ll make an impact that matters.

Personal independence

Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.

Connect to your Industry

“What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.” 

-Dan, Consulting 

Connect with your colleagues

Location: Cairo. Egypt

Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You’ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working.

Connect to your agile working options

Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You’ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working  

Our commitment to you

Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.

We want you. The true you. Your own strengths, perspective, and personality. So, we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.

Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.

Connect to your next step

A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.