data engineer

ai developer

it specialist

senior software engineer

software developer

etl developer

QStaffers

<div>
 
 QStaffers
 
 is currently looking for a
 
 Data Integration Developer
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 Job Summary:
 
 
 
 We are looking for a skilled
 
 Data Integration Developer
 
 to join our team and support enterprise data integration initiatives. The ideal candidate will have strong hands-on experience with Informatica PowerCenter as an ETL tool, along with solid expertise in SQL and PL/SQL, working on enterprise relational databases.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, test, support processes for extracting, transforming and loading data from source systems to DWH and Data Marts.
 </li>
 <li>
 Design the processes to meet service level agreements for data timeliness and frequency.
 </li>
 <li>
 Analyze and optimize current solutions, physical model optimization, query tuning.
 </li>
 <li>
 Mentoring junior members of the team in data integration development best practices.
 </li>
 <li>
 Analyze and improve query and solution performance, optimize physical model.
 </li>
 <li>
 Developing project deliverable documentation.
 </li>
 <li>
 Must be familiar with Online Data Processing Tools.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information System or a related field.
 </li>
 <li>
 2+ years of experience as a Data Integration Developer or ETL Developer.
 </li>
 <li>
 Hands-on experience with Informatica PowerCenter.
 </li>
 <li>
 Strong experience in SQL and PL/SQL.
 </li>
 <li>
 Experience working with enterprise relational databases, especially Oracle Database.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts.
 </li>
 <li>
 Prefer to have experience in enterprise or banking environments.
 </li>
 <li>
 Knowledge of performance tuning techniques.
 </li>
 <li>
 Familiarity with Unix/Linux environments.
 </li>
 <li>
 Experience in Agile development teams.
 </li>
 </ul>
</div>

Data Integration Developer

Systems Limited - Egypt

<div>
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data warehouse and data marts, including ODS and internal departmental marts.
 </li>
 <li>
 Gather, process, maintain, and analyze large datasets, ensuring data accuracy and quality.
 </li>
 <li>
 Design, automate, and support ETL pipelines and data flows across multiple applications.
 </li>
 <li>
 Create logical and physical data flow models and mapping designs for ETL processes.
 </li>
 <li>
 Strong SQL skills (performance tuning, index management) and solid understanding of database structures.
 </li>
 <li>
 Strong understanding of data modeling concepts.
 </li>
 <li>
 Familiarity with SQL and NoSQL storage, and Big Data technologies (Hive, Impala, YARN, Kafka, etc.).
 </li>
 </ul>
 
 
 
 
 Informatica-specific requirements:
 
 
 <ul>
 <li>
 Hands-on experience with Informatica PowerCenter development (mappings, sessions, workflows).
 </li>
 <li>
 Strong knowledge of Informatica transformations (e.g., Lookup, Joiner, Aggregator, Expression, Router, Sorter) and performance tuning.
 </li>
 <li>
 Experience with Informatica Developer.
 </li>
 <li>
 Experience with Informatica B2B is a plus.
 </li>
 <li>
 Ability to design, automate, monitor, and troubleshoot ETL jobs, including scheduling.
 </li>
 </ul>
 
 
 
 
 Banking sector requirements (preferred):
 
 
 <ul>
 <li>
 Previous experience in the banking sector, preferably business banking, including working with banking datasets.
 </li>
 <li>
 Strong understanding of data quality and reconciliation expectations in banking environments.
 </li>
 <li>
 Experience working in regulated environments and change control practices is a strong plus.
 </li>
 </ul>
 
 
</div>

Data Engineer

Abu Dhabi Islamic Bank - Egypt

<div>
 
 
 Data Warehouse Related Responsibilities
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams, including data engineers, business analysts, and data scientists, to understand data requirements and design optimal data warehouse solutions that align with business objectives.
 </li>
 <li>
 Develop and implement end-to-end ETL (Extract, Transform, Load) processes to ingest, transform, and load data from various sources into the data warehouse. Utilize industry-leading ETL tools to automate and streamline these processes.
 </li>
 <li>
 Collaborate with database administrators to optimize query performance, identifying and resolving bottlenecks through query optimization, indexing strategies, and data partitioning.
 </li>
 <li>
 Work closely with business analysts, data scientists, and other stakeholders to understand data consumption patterns and provide support for their analytical initiatives. Translate business requirements into effective data solutions.
 </li>
 <li>
 Create and maintain comprehensive documentation for data warehouse processes, including data lineage, transformations, business rules, and metadata. Ensure knowledge sharing and continuity within the team.
 </li>
 <li>
 Stay up-to-date with industry best practices, emerging technologies, and trends in data warehousing and analytics. Continuously evaluate and recommend new tools, techniques, and methodologies to enhance the data warehouse infrastructure.
 </li>
 <li>
 Collaborate with IT security and compliance teams to ensure data security, privacy, and compliance with relevant regulations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Minimum 3 years of experience.
 </li>
 <li>
 Experience in banking/ bank applications is a plus.
 </li>
 <li>
 Prior Experience in ETL tools such as Informatica, Talend, or Apache NiFi, and data integration techniques for handling structured and unstructured data
 </li>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree is a plus.
 </li>
 <li>
 Prior experience with SAP Business Objects (BO) is a plus.
 </li>
 <li>
 Proficiency in ETL tools such as Informatica, Talend, or Apache NiFi, and data integration techniques for handling structured and unstructured data.
 </li>
 <li>
 Strong experience with SQL and database systems such as SQL Server, Oracle, or PostgreSQL. Familiarity with NoSQL databases is advantageous.
 </li>
 <li>
 In-depth understanding of data modelling, dimensional modelling, and data normalization techniques.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Job specific Skills:
 
 
 <ul>
 <li>
 Fair knowledge of building system interfaces and systems integration
 </li>
 <li>
 Fair knowledge of Banking systems
 </li>
 <li>
 Fair understanding of business cycles
 </li>
 <li>
 Enthusiastic and fast learner
 </li>
 <li>
 Ability to execute multiple projects and initiatives balancing department and organizational demands and resources.
 </li>
 <li>
 Delivery of timely and accurate information for decision making.
 </li>
 <li>
 Good presentation skills.
 </li>
 <li>
 Highly organized and detail oriented.
 </li>
 <li>
 Self-motivated and independent.
 </li>
 </ul>
 
 
</div>

IT Data Intergration Engineer (SAP BO Experience - Office Based)

Paymob

<div>
 Building robust and scalable data infrastructure and systems. Participating in the development of data pipelines, data models, and data integration solutions, ensuring the efficient processing, storage, and analysis of large volumes of data. Collaborating closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and implement solutions that enable effective data-driven decision-making.&nbsp;
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, build, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into target systems, data warehouses, or data lakes. Ensure the reliability, performance, and integrity of data pipelines.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop data integration pipelines to consolidate data from multiple sources, ensuring data consistency and accuracy.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement data transformation processes to convert and cleanse data according to defined business rules and data quality standards. Handle data cleansing, data standardization, and data enrichment tasks to improve data quality and usability.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish and maintain scalable data storage systems such as relational databases, NoSQL databases, or cloud-based data warehouses. Optimize data storage and retrieval for efficient data processing and analysis.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utilize big data technologies and frameworks such as Apache Hadoop, Apache Spark, or cloud-based services like Amazon Redshift, DMS&hellip;etc. to handle large volumes of structured and unstructured data. Implement distributed computing techniques for parallel processing and high-performance data processing.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop and implement data quality assurance processes, including data validation rules, data profiling, and data quality monitoring. Identify and address data quality issues, anomalies, or inconsistencies in a proactive and timely manner to decide as per high quality data.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Monitor and optimize data pipelines, data processing workflows, and data storage systems for performance and efficiency. Identify and resolve bottlenecks, optimize queries, and tune data processing operations for improved system performance to avoid any system failures.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data requirements and provide technical expertise. Document data engineering processes, data flows, and system configurations for knowledge sharing and future reference.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay updated with emerging technologies, trends, and best practices in the field of data engineering, continuously learn and evaluate new tools, techniques, and frameworks to improve data engineering capabilities and drive innovation.&nbsp;&nbsp;
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Drive operational excellence by overseeing daily data pipelines and infrastructure, ensuring optimal performance, reliability, and scalability. Proactively monitor and address potential issues, implement best practices, and continuously improve data workflows to enhance efficiency and system stability.
 </li>
 <li>
 
 
 
 </li>
 </ul>
 
 REQUIREMENTS
 
 <ul>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science, Communications Engineering.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2 to 3 years of experience
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in languages such as Python.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in data modeling techniques and data integration methodologies.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with ETL tools and data integration frameworks.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of relational databases, SQL, and database design principles.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of data warehousing concepts.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of on-premises and cloud data storage and processing technologies.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data processing and manipulation libraries (e.g., pandas, NumPy).
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with data governance principles including data quality.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data orchestration and scheduling tools like airflow.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Very Good
 
 
 </li>
 </ul>
</div>

WasteHero

<div>
 
 
 Location:
 
 From Cairo
 
 
 
 Employment:
 
 Full-time
 
 
 
 
 
 🚀 About WasteHero
 
 
 At WasteHero, we&rsquo;re revolutionizing municipal waste management through cutting-edge software. Our
 
 cloud-native SaaS platform
 
 helps cities and private operators optimize routes, automate billing, ensure compliance, and build greener communities.
 
 
 We&rsquo;re already working with municipalities and waste companies across Europe &mdash; including one of the largest public-sector transformation projects all of Europe &mdash; and we&rsquo;re just getting started.
 
 
 
 
 
 WasteHero is a mission-driven scaleup with strong product-market fit, backed by institutional investors and public contracts. Our HQ is in Aarhus, Denmark, where product and engineering
 
 
 sit at the heart of the business.
 
 
 
 
 
 🎯 The Role: Senior Backend Developer
 
 
 We&rsquo;re looking for a
 
 senior backend engineer
 
 who will strengthen our distributed engineering team and help deliver mission-critical features in the coming 12&ndash;18 months.
 
 
 
 
 
 As Senior Backend Developer, you will:
 
 <ul>
 <li>
 Build and maintain
 
 Python/Django + FastAPI services
 
 powering our SaaS ERP platform
 </li>
 <li>
 Design and implement scalable
 
 REST &amp; GraphQL APIs
 
 for integrations with municipal ERP systems
 </li>
 <li>
 Develop
 
 ETL pipelines and migration scripts
 
 (Python/SQL) to handle complex datasets from multiple sources
 </li>
 <li>
 Ensure system reliability, security, and GDPR/NIS2 compliance through robust logging, rollback, and error handling
 </li>
 <li>
 Collaborate daily with colleagues in Aarhus HQ and Finland, UK, Germany, working in an agile delivery setup
 </li>
 <li>
 Contribute to architectural decisions for performance, fault-tolerance, and long-term maintainability
 </li>
 </ul>
 
 
 
 
 🛠 Our Tech Stack
 
 <ul>
 <li>
 
 Python 3, Django, FastAPI
 
 </li>
 <li>
 
 PostgreSQL, Redis, Celery
 
 </li>
 <li>
 
 GraphQL (Graphene), REST APIs
 
 </li>
 <li>
 
 Docker, gunicorn
 
 </li>
 <li>
 
 Bitbucket Pipelines (CI/CD)
 
 </li>
 <li>
 Hosted on
 
 Hetzner
 
 with private networking &amp; load balancing
 </li>
 </ul>
 
 
 
 
 ✅ You Bring
 
 <ul>
 <li>
 5+ years of backend development experience (Python/Django preferred)
 </li>
 <li>
 Strong experience with relational databases (
 
 PostgreSQL/SQL
 
 )
 </li>
 <li>
 Track record of building
 
 production APIs
 
 and backend services at scale
 </li>
 <li>
 Experience with
 
 ETL, migrations, or integration-heavy environments
 
 </li>
 <li>
 Familiarity with Docker, CI/CD, and modern development pipelines
 </li>
 <li>
 Excellent English communication skills (Polish native a plus)
 </li>
 <li>
 Bonus: FastAPI, GraphQL, SaaS platform background, or public-sector software
 </li>
 </ul>
 
 
 
 
 🌟 Why Join WasteHero?
 
 <ul>
 <li>
 
 High-impact role
 
 : Your work directly supports public-sector digitalisation across Europe
 </li>
 <li>
 
 Ownership
 
 : Work on complex, integration-heavy challenges with real autonomy
 </li>
 <li>
 
 Growth
 
 : Be part of a fast-scaling SaaS company with ARR-focused expansion in the Nordics
 </li>
 <li>
 
 Upside
 
 : Competitive salary + stock options
 </li>
 <li>
 
 Culture
 
 : International, mission-driven team with a focus on clarity, fairness, and execution
 </li>
 <li>
 
 Purpose
 
 : Real-world environmental impact at scale
 </li>
 </ul>
 
 
 
 
 📍
 
 Hybrid- Cairo office -
 
 with occasional visits to our Aarhus HQ for onboarding and key team moments.
 
</div>

Senior Backend Developer (Python)

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Computer Science, Database, SQL, Business Intelligence, Technology
</div>

Data Engineer (m/f/d)

Explore 71+ Etl developer in Cairo this March. Find roles across top companies and apply now to boost your career.

71 etl developer jobs In Cairo

Data Integration Developer

Data Engineer

IT Data Intergration Engineer (SAP BO Experience - Office Based)

Data Engineer

Data Engineer

Senior Backend Developer (Python)

Data Engineer (m/f/d)