Understand the information flow
This illustrative first-months plan will be confirmed with your manager. Trace an agreed workflow from its source data to the screens, reports and decisions that depend on it.
Technology
AI & Database Engineer
Build the data foundations and integrations behind useful AI products and business platforms.
Make a contribution
that matters.
What you will do
- Design and maintain data models and integrations
- Support AI applications with reliable data pipelines
- Work with the team on performance, security and maintainability
What you will bring
- Practical database and software development experience
- Interest in AI application engineering
- Ability to work on site in Tanta
Learning and benefits
Our benefits offering includes access to project management and marketing qualifications, gym membership, private healthcare insurance and pension arrangements. The package applicable to this role is confirmed during recruitment.
Salary, hours and other employment terms will be discussed during the recruitment process.
The role in practice.
Useful AI depends on reliable information. This Tanta-based engineering role focuses on the data models, integrations and application services that help colleagues and clients use business information confidently. You will connect technical decisions with the workflow a system is intended to support.
The work can span a structured business database, a reporting pipeline or an AI feature drawing on approved knowledge. We value clear reasoning about correctness, maintainability and operating cost, together with the judgement to keep an implementation appropriately simple.
Where your contribution matters
- Translate business concepts into clear data structures, relationships and validation rules.
- Build integrations that handle incomplete inputs, duplicates and failed requests without quietly damaging records.
- Investigate slow queries or inconsistent reports and explain the underlying cause to the team.
- Make access permissions, change history and safe handling of configuration part of everyday engineering.
Illustrative early priorities.
The first-month plan is discussed with your manager and adjusted to the role, team and starting priorities.
Deliver a bounded improvement
Take a clearly scoped change through design, implementation and review. Explain migration, validation and recovery considerations before altering important records.
Make the work maintainable
Document assumptions and operating steps, review performance evidence and help colleagues understand how to diagnose a failed integration or unexpected result.
How the work connects with the team.
- Product and operational colleagues help define what a record means and which outcomes matter.
- Application and AI developers agree interfaces, access boundaries and failure handling.
- Users and reviewers provide examples that reveal whether the solution works in practice.
Prepare for a useful selection conversation.
Explain a system you have built
Bring an authorised example, public repository or sanitised diagram. Explain your contribution, trade-offs and what you would improve.
Reason through a data problem
You may discuss a schema, a duplicate-import problem or a slow query, showing how you investigate rather than guessing.
Review an AI integration
Be ready to explain how you would provide relevant data to an AI feature, control access and assess the resulting behaviour.
Questions worth asking.
Must my portfolio contain commercial client work?
No. A well-explained personal or learning project can show practical judgement. Do not submit confidential data or credentials.
Is this only a model-training role?
The advertised focus is databases, software development and the information flows supporting useful AI applications.
Where is the role based?
The role is based on site in Tanta, Egypt. Other employment arrangements are discussed during recruitment.
Take the next step
Introduce
yourself.
Applying for AI & Database Engineer
Tanta, Egypt
Please upload a PDF CV up to 5 MB. Avoid including identity documents, bank details or unrelated sensitive information.