data engineer

technical support engineer

ai engineer, light

ai platform engineer

contracts engineer

analytics engineer ii

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 Job Description
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
 
 
 <ul>
 <li>
 Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
 </li>
 <li>
 Ensure data is structured to support self-service analytics and business intelligence.
 </li>
 <li>
 Work closely with data engineers to define data requirements and enhance ETL pipelines.
 </li>
 <li>
 Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
 </li>
 <li>
 Implement and enforce data quality best practices to ensure accuracy and consistency.
 </li>
 <li>
 Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
 </li>
 <li>
 Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 Strong proficiency in Python, SQL and experience with dbt for data modeling.
 </li>
 <li>
 Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
 </li>
 <li>
 Familiarity with version control (Git) and CI/CD practices for data workflows.
 </li>
 <li>
 Understanding of data engineering principles, including ETL/ELT processes.
 </li>
 </ul>
</div>

Analytics Engineer II

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
 
As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.<ul><li>
Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.</li><li>
Ensure data is structured to support self-service analytics and business intelligence.</li><li>
Work closely with data engineers to define data requirements and enhance ETL pipelines.</li><li>
Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</li><li>
Implement and enforce data quality best practices to ensure accuracy and consistency.</li><li>
Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.</li><li>
Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</li></ul> 
Qualifications<ul><li> 
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
Strong proficiency in Python, SQL and experience with dbt for data modeling.</li><li>
Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</li><li>
Familiarity with version control (Git) and CI/CD practices for data workflows.</li><li>
Understanding of data engineering principles, including ETL/ELT processes.</li></ul></div>

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

Goldwind

<div>
 
 O&amp;M Engineer (GWO Training Coordinator)
 
 
 
 
 
 
 We are looking for a motivated and safety-oriented
 
 O&amp;M Enginee
 
 r to join our Egypt GOS II Wind Power Project. The successful candidate will be responsible for the operation and maintenance of wind turbine generators while also supporting the project as a
 
 Part-Time GWO Training Coordinato
 
 r
 
 
 .Key Responsibilitie
 
 <ul>
 <li>
 sPerform wind turbine inspections, troubleshooting, and maintenance activities
 </li>
 <li>
 .Monitor turbine performance through SCADA systems
 </li>
 <li>
 .Ensure compliance with HSE requirements and operational procedures
 </li>
 <li>
 .Maintain maintenance records and support spare parts management
 </li>
 <li>
 .Coordinate GWO training activities, certification tracking, and compliance monitoring
 </li>
 <li>
 .Liaise with GWO training providers and maintain training records
 </li>
 </ul>
 
 .Requirement
 
 <ul>
 <li>
 sDiploma or Bachelor's Degree in Electrical, Mechanical, Renewable Energy, Safety Management, or related fields
 </li>
 <li>
 .Minimum 2 year of experience in wind turbine O&amp;M or a related technical role
 </li>
 <li>
 .Knowledge of GWO standards and certifications is preferred
 </li>
 <li>
 .Good command of English
 </li>
 <li>
 .Proficiency in Microsoft Office applications
 </li>
 <li>
 .Strong communication, organizational, and safety awareness skills
 </li>
 </ul>
 
 
 
 .
</div>

O&M Engineer (GWO Training)

Integrant, Inc.

<div>
 
 We're on the lookout for exceptional individuals to join our team as
 
 Principal Data Engineers
 
 . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 
 <ul>
 <li>
 Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
 </li>
 <li>
 Engage in collaborative requirement elicitation activities with our valued clientele.
 </li>
 <li>
 Mentor and guide junior team members in the field of data engineering.
 </li>
 <li>
 Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
 </li>
 
 </ul>
 
 Requirements
 
 
 <ul>
 <li>
 6+ years of experience as a data engineer.
 </li>
 <li>
 Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
 </li>
 <li>
 Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
 </li>
 <li>
 Knowledge of query and workload optimization.
 </li>
 <li>
 Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
 </li>
 <li>
 Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
 </li>
 <li>
 Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
 </li>
 <li>
 Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
 </li>
 <li>
 Knowledge of setting up OLAP solutions using SSAS.
 </li>
 <li>
 Familiarity with Azure Data Catalog to manage data lake metadata.
 </li>
 <li>
 Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
 </li>
 <li>
 Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
 </li>
 <li>
 Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
 </li>
 <li>
 Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
 </li>
 <li>
 Knowledge of implementing common ETL patterns to support data warehouse workloads.
 </li>
 <li>
 Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
 </li>
 <li>
 Knowledge of PowerBI.
 </li>
 <li>
 Familiarity with SSRS.
 </li>
 <li>
 
 Snowflake Experience:
 
 Experience with Snowflake is required.
 </li>
 </ul>
 
 Nice to Have:
 
 <ul>
 <li>
 An MSc in Computer Science or other relevant field.
 </li>
 <li>
 Familiarity with Azure Databricks.
 </li>
 <li>
 Familiarity with DataOps
 </li>
 <li>
 Familiarity with Azure Cognitive Services.
 </li>
 <li>
 Familiarity with Azure ML.
 </li>
 <li>
 Familiarity with MLOps.
 </li>
 <li>
 Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
 </li>
 <li>
 Familiarity with Azure HD Insight.
 </li>
 <li>
 Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
 </li>
 <li>
 Familiarity with Azure Functions to perform lightweight transformations.
 
 </li>
 </ul>
 
 Benefits
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Principal Data Engineer

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 Dwelleo is an AI-powered, bilingual (Arabic/English) real estate marketplace serving the Saudi market. We're building a native-quality mobile experience on Flutter, and we're looking for a Senior Flutter Developer to own it end to end.
 
 
 
 
 
 This is a single-owner role: you will be our only mobile engineer. You'll be responsible for the full lifecycle of the app &mdash; architecture, implementation, release, and maintenance &mdash; working closely with backend, design, QA, and product. We need someone senior enough to make sound architectural decisions independently, set the standard for code quality, and deliver reliably without day-to-day hand-holding, while collaborating tightly across chapters.
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Own the Dwelleo mobile app end to end: architecture, development, testing support, release management, and post-launch maintenance across iOS and Android from a single Flutter codebase.
 </li>
 <li>
 Implement full
 
 bilingual Arabic/English support
 
 with correct
 
 RTL/LTR layout handling
 
 , localization, and locale-aware formatting (dates, numbers, currency).
 </li>
 <li>
 Translate Figma designs into pixel-accurate, responsive, performant UI &mdash; including the upcoming mobile design migration.
 </li>
 <li>
 Integrate with backend services over REST APIs; collaborate with the backend chapter to shape mobile-facing API contracts.
 </li>
 <li>
 Integrate AI-driven and real-estate features (e.g. property listings, search, listing scoring, lead flows) into the mobile experience.
 </li>
 <li>
 Handle authentication, secure storage, push notifications, deep linking, and payment flows as the product requires.
 </li>
 <li>
 Establish and maintain mobile engineering standards: state management, project structure, CI/CD for mobile, code review discipline, and automated testing.
 </li>
 <li>
 Manage the full release process: build pipelines, signing, App Store and Google Play submissions, versioning, and store compliance.
 </li>
 <li>
 Monitor app performance, crashes, and stability; instrument analytics and act on the data.
 </li>
 <li>
 Ensure the app meets Saudi regulatory and data-protection requirements (PDPL and related) in how it handles user data on-device and in transit.
 </li>
 <li>
 Maintain clear technical documentation so the app remains supportable as the team grows.
 
 
 
 </li>
 </ul>
 Required qualifications:
 
 
 
 <ul>
 <li>
 5+ years of professional mobile development, with substantial
 
 Flutter/Dart
 
 experience shipping and maintaining production apps on both iOS and Android.
 </li>
 <li>
 Proven track record owning at least one app end to end &mdash; ideally as a sole or lead mobile engineer.
 </li>
 <li>
 Strong command of Flutter state management (Bloc, Riverpod, Provider, or similar) and clean, scalable architecture (e.g. layered/clean architecture).
 </li>
 <li>
 Solid experience consuming REST APIs, handling async data, caching, and offline states.
 </li>
 <li>
 Hands-on experience with
 
 RTL layouts and full app localization
 
 (Arabic experience strongly preferred).
 </li>
 <li>
 Experience with the full release pipeline: CI/CD, code signing, and App Store / Google Play publishing.
 </li>
 <li>
 Comfortable working from Figma; good eye for design fidelity and UX detail.
 </li>
 <li>
 Strong testing instincts (unit and widget tests) and a quality-first mindset.
 </li>
 <li>
 Fluent English communication; able to work autonomously and collaborate across a cross-functional team.
 
 
 
 </li>
 </ul>
 Nice to have:
 
 
 
 <ul>
 <li>
 Arabic &amp; English language proficiency.
 </li>
 <li>
 Real estate, marketplace, or fintech domain experience.
 </li>
 <li>
 Experience integrating payment gateways and AI/LLM-powered features into mobile apps.
 </li>
 <li>
 Native iOS (Swift) or Android (Kotlin) familiarity for platform-channel work.
 </li>
 <li>
 Experience setting up mobile analytics and crash reporting (Firebase, Sentry, or similar).
 
 
 </li>
 </ul>
 
 
 
</div>

Senior Flutter Developer (Mobile)

Telkoa Technologies

Data &amp; Event Systems &mdash; SimX PlatformFull-Time | Remote (Egypt) | ContractorAbout TelkoaTelkoa builds SimX, a SIM and eSIM management platform for telecom operators. We process millions of SIM lifecycle events, network signaling messages, and usage records daily across multiple cloud environments (Hetzner K3s, AWS EKS, VMware on-prem), serving telecom operators in Europe, Latin America, and Southeast Asia.SimX is a data-intensive platform at its core. Real-time Kafka event streaming, CDC pipelines, time-series aggregation, and geospatial analytics are central to everything we do. We are a small, senior team that ships fast. No layers of management, no ticket factories.The RoleWe are looking for a Senior Java Engineer to own the data backbone of SimX. This is not a generic backend role &mdash; the core of your work is designing and operating real-time Kafka event pipelines, CDC-driven data flows, time-series aggregation, and high-throughput batch processing that telecom operators depend on 24/7.SimX processes millions of SIM lifecycle events daily through a Confluent Kafka ecosystem with Avro schemas, ksqlDB stream enrichment, Debezium CDC, and Kafka Connect. Data lands in PostgreSQL with TimescaleDB hypertables, PostGIS geospatial extensions, and custom aggregation pipelines driven by pg_cron. You will build and operate these systems.What You Will Work OnKafka Event Streaming &amp; CDC Pipelines (~40%)- Design and operate Kafka-based event streaming pipelines for real-time SIM provisioning, IMSI swaps, and network signaling across multiple operator networks. The platform uses Confluent Platform with Avro serialisation and Schema Registry.- Build and maintain Debezium CDC connectors that capture PostgreSQL changes and route them to Kafka topics for downstream enrichment and processing.- Work with ksqlDB to build stream enrichment pipelines &mdash; joining raw event streams with subscriber data to produce enriched topics consumed by downstream services.- Configure and maintain Kafka Connect JDBC sink connectors that write processed data back to PostgreSQL.- Design data flow architectures that ensure reliability, ordering guarantees, and exactly-once processing across distributed services.Database Engineering &amp; Aggregation (~25%)- Design and optimise PostgreSQL schemas for high-volume transactional and analytical workloads. SimX uses raw SQL throughout &mdash; no JPA/Hibernate.- Work with TimescaleDB hypertables for time-series data (event records, quality-of-service aggregations) including retention policies, chunk management, and query optimisation.- Build and maintain aggregation pipelines using pg_cron &mdash; hourly and daily rollups that transform raw telemetry into operator-facing analytics (the qmax pipeline is the centre of gravity).- Implement and optimise geospatial queries using PostGIS and Uber H3 hexagonal indexing for location-based analytics and geofencing.- Design and manage multi-tenant data isolation using PostgreSQL Row-Level Security (RLS), with per-deployment access policies.Batch Processing &amp; Data Operations (~20%)- Build and maintain batch processing systems for usage aggregation, billing reconciliation, SIM inventory operations, and large-scale data migrations.- Design ETL/ELT pipelines for data transformation, enrichment, and loading across operational and analytical stores.- Implement data quality checks, validation rules, and automated error remediation for high-volume batch jobs.- Manage schema evolution across Avro schemas, PostgreSQL DDL, and ksqlDB streams in a coordinated manner.API Services &amp; Architecture (~15%)- Contribute to SimX's Java Spring Boot microservices &mdash; REST APIs consumed by telecom operators for SIM management, provisioning, and analytics.- Make architectural decisions on system design, service decomposition, and data modeling for a platform deployed across Hetzner (K3s), AWS (EKS), and VMware (on-prem K8s).- Establish engineering patterns, code review standards, and mentor a mid-level engineer.RequirementsMust Have- 4&ndash;6 years of production experience with Java and Spring Boot. SimX is 90% Java Spring Boot microservices &mdash; this is not negotiable.- Hands-on experience with Apache Kafka in production &mdash; topics, consumers, producers, consumer groups. Experience with the broader Confluent ecosystem (Schema Registry, Kafka Connect, ksqlDB) is a major advantage.- Strong PostgreSQL skills with real experience writing and optimising raw SQL at scale. SimX does not use JPA or Hibernate &mdash; you will write SQL directly, design schemas, tune queries, and manage migrations.- Experience with data aggregation pipelines &mdash; batch rollups, materialised views, scheduled processing jobs that transform raw event data into analytics.- Experience with CDC (Change Data Capture) patterns &mdash; Debezium or equivalent tools that replicate database changes to event streams.- Experience with containerised deployments &mdash; Docker, Kubernetes (K8s or K3s), Helm charts.- Ability to work autonomously with minimal supervision. We are async-first and remote.- Strong written English for async communication, code reviews, and documentation.Strong Plus- TimescaleDB &mdash; hypertables, retention policies, chunk management for time-series data.- PostGIS or geospatial database experience.- Avro schema design and evolution in a Schema Registry environment.- Experience with ksqlDB or Kafka Streams for real-time stream processing.- Telecom domain knowledge &mdash; SIM/eSIM, IMSI, network signaling protocols, OTA provisioning.- Multi-tenant database design using Row-Level Security or equivalent isolation patterns.- Proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) &mdash; we value engineers who use AI to multiply their output.- Familiarity with GitLab CI/CD pipelines.How We Work- Tools: Linear (project management), GitLab (code + CI/CD), Outline (knowledge base), Slack (communication).- Process: Issues tracked in Linear. Agile but lightweight &mdash; no ceremonies for the sake of ceremonies.- Cadence: Async-first. Weekly sync with the CEO/CTO.- Compensation: Competitive monthly rate (USD), contractor agreement, monthly invoicing.Why This RoleYou would own the data layer of a platform that telecom operators depend on in production. This is not CRUD APIs &mdash; it is real-time CDC pipelines, Kafka event streaming with Avro and ksqlDB enrichment, TimescaleDB aggregation at scale, and geospatial analytics across distributed operator networks. The problems are hard, the data volumes are real, and your architectural decisions will shape the platform for years.You will work directly with the CEO/CTO &mdash; no layers of management between you and the decisions that matter. The telecom data space is underserved by modern engineering, and you would be building capabilities that most platforms in this industry simply do not have.To apply: careers@telkoa.comApplication Question(s):<ul><li>How many years of production experience do you have with Java and Spring Boot?</li><li>Describe your experience with Apache Kafka in production. Include specifics: throughput, number of topics, consumer groups, and whether you've worked with any of the following: Confluent Schema Registry, Avro, ksqlDB, Kafka Connect, or Debezium CDC.</li><li>Describe your PostgreSQL experience at scale. Have you worked with raw SQL (not JPA/Hibernate), query optimisation, sharding, partitioning, or time-series extensions like TimescaleDB?</li><li>Describe a data pipeline or batch processing system you built that handled high volumes (millions of records). What was the architecture, what challenges did you face, and how did you solve them?</li><li>What tools do you use to multiply your engineering output? Do you use AI-assisted development tools like Claude Code, Cursor, or GitHub Copilot? If yes, describe how you use them in your workflow.</li><li>Do you have any experience in the telecom domain &mdash; SIM/eSIM, IMSI, OTA provisioning, network signaling, or working with telecom operators?</li><li>What is your expected monthly compensation in EGP?</li><li>What is your notice period at your current role?</li><li>Are you comfortable working fully remote and async-first, communicating primarily in English with a globally distributed team?</li></ul>Work Location: Remote

Senior Java Engineer

Explore 243+ Analytics engineer ii in Egypt this July. Find roles across top companies and apply now to boost your career.

243 analytics engineer ii jobs In Egypt

Analytics Engineer II

Analytics Engineer II

Senior Data Engineer - Alexandria

O&M Engineer (GWO Training)

Principal Data Engineer

Senior Flutter Developer (Mobile)

Senior Java Engineer