devops engineer

data analyst

data engineer

ai platform engineer

data scientist

big data engineer

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 Data Engineer is responsible for building and maintaining Data Platforms. Recognizes the importance of data for the organization in the areas where it is the key to success. Maintaining an eye on the big picture and knowing the details of the business are decisive for this role.
 
 
 This role is focused on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis.
 
 
 The mission involves implementing scalable and performant data pipelines and data integration solutions.
 
 
 Agnostic of data sources and technologies to ensure efficient data flow and high data quality, enabling data scientists, analysts, and other stakeholders to access and analyze data effectively.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data platforms
 </li>
 <li>
 Collect, process, and analyze large and complex data sets from various sources
 </li>
 <li>
 Develop and implement data processing workflows using data processing framework technologies
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data accuracy and integrity
 </li>
 <li>
 Ensure data security and privacy through proper implementation of access controls and data encryption
 </li>
 <li>
 Extraction of data from various sources, including databases, file systems, and APIs
 </li>
 <li>
 Monitor system performance and optimize for high availability and scalability
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 8-9 years of experience with cloud platforms and services for data engineering (GCP and/or AWS and/or Azure)
 </li>
 <li>
 Proficiency in programming languages like Python, Java, or Scala
 </li>
 <li>
 Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
 </li>
 <li>
 Knowledge of data modeling and database design principles
 </li>
 <li>
 Familiarity with data integration and ETL tools (e.g., Apache Kafka, Talend)
 </li>
 <li>
 Understanding of distributed systems and data processing architectures
 </li>
 <li>
 Strong SQL skills and experience with relational and NoSQL databases
 </li>
 <li>
 Familiarity with cloud platforms and services for data engineering (e.g., AWS S3, Azure Data Factory)
 </li>
 <li>
 Experience with version control tools such as Git
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Problem solving and analytical mindset
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Proven ability to work independently and remotely
 </li>
 <li>
 Experience with Agile and Lean methodologies
 </li>
 <li>
 Leadership of small technical teams
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams, and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Engineer

Oscar

<div>
 
 
 Cairo, Egypt (Hybrid - 4 days onsite)
 
 
 
 
 650,000 EGP - 1,400,000 EGP base salary (DOE)
 
 
 
 
 Full-time | Permanent
 
 
 
 
 ( + Transportation Allowance + Strong benefits package)
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 
 We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 The organisation is seeking an experienced
 
 Senior Azure Data Engineer / Developer
 
 to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 
 
 The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL pipelines
 
 using
 
 Azure Data Factory
 
 </li>
 <li>
 Ingest and transform data from multiple source systems into
 
 Azure Data Lake Storage
 
 and
 
 Azure SQL
 
 </li>
 <li>
 Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Build and optimise data solutions using
 
 Databricks, Spark, Hive
 
 , and
 
 PySpark
 
 </li>
 <li>
 Ensure data quality, integrity, availability, and performance across reporting layers
 </li>
 <li>
 Support BI teams by delivering certified datasets for
 
 Power BI
 
 consumption
 </li>
 <li>
 Collaborate with data scientists, analysts, and platform teams on data requirements
 </li>
 <li>
 Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
 </li>
 <li>
 Mentor junior team members and contribute to technical decision-making (senior level)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
 </li>
 <li>
 3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
 </li>
 <li>
 Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Strong hands-on experience with Power BI, including DAX and Power Query M
 </li>
 <li>
 Solid experience with Azure SQL Database and advanced T-SQL
 </li>
 <li>
 Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
 </li>
 <li>
 Strong programming skills in Python, C#, .NET, Scala, or Java
 </li>
 <li>
 Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
 </li>
 <li>
 Good understanding of DevOps principles and experience working with CI/CD pipelines
 </li>
 <li>
 Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Professional working proficiency in English
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 DevSecOps
 
 practices
 </li>
 <li>
 Exposure to
 
 SAFE / Agile
 
 delivery environments
 </li>
 <li>
 Knowledge of
 
 SAP BW
 
 or enterprise ERP data sources
 </li>
 <li>
 Previous leadership or mentoring experience
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Competitive salary:
 
 650,000 EGP - 1,400,000 EGP
 
 , depending on experience
 </li>
 <li>
 
 Hybrid working model
 
 (4 days onsite in Cairo)
 </li>
 <li>
 Private healthcare, annual bonus plus more benefits
 </li>
 <li>
 Transportation / Car Allowance
 </li>
 <li>
 Long-term career growth in a stable, well-funded organisation
 </li>
 </ul>
 
 
</div>

Azure Data Engineer / Developer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 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 for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 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>
 You develop and maintain data analysis 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 collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., 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>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Quality Assurance, Computer Science, SQL, Technology
</div>

Data Engineer (m/w/d)

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Data Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a motivated
 
 Data Engineer
 
 to join our
 
 Data Management and AI team
 
 and contribute to building scalable data platforms that power analytics and AI initiatives across our digital banking ecosystem.
 
 
 In this role, you will design and develop
 
 data pipelines, streaming infrastructure, and data warehouse solutions
 
 that enable reliable and high-performance data processing.
 
 
 This is an excellent opportunity for a
 
 junior data engineer
 
 looking to grow within a fast-paced fintech environment while working on modern data technologies.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack within QNBeyond Plus.
 
 
 Our team collaborates with engineering, analytics, and product teams to manage, process, and analyze data that enables innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Pipeline Development
 
 <ul>
 <li>
 Design and build scalable
 
 data pipelines for batch and real-time processing
 
 .
 </li>
 <li>
 Implement ETL/ELT workflows integrating data from
 
 APIs, databases, and event streams
 
 .
 </li>
 </ul>
 
 Streaming &amp; Event Processing
 
 <ul>
 <li>
 Develop and maintain
 
 streaming data pipelines using tools such as Kafka or similar platforms
 
 .
 </li>
 <li>
 Ensure
 
 low-latency, reliable, and fault-tolerant data delivery
 
 .
 </li>
 </ul>
 
 Data Transformation
 
 <ul>
 <li>
 Develop
 
 data enrichment and transformation workflows
 
 to convert raw data into business-ready datasets.
 </li>
 <li>
 Implement SQL transformations across layered architectures (
 
 raw &rarr; bronze &rarr; silver &rarr; gold
 
 ).
 </li>
 </ul>
 
 Data Warehouse Development
 
 <ul>
 <li>
 Design and maintain
 
 data warehouse models and schemas
 
 .
 </li>
 <li>
 Optimize query performance and storage design for analytical workloads.
 </li>
 </ul>
 
 Data Quality &amp; Reliability
 
 <ul>
 <li>
 Implement
 
 data validation and quality checks
 
 .
 </li>
 <li>
 Monitor data pipeline performance and ensure reliability.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 engineering, analytics, and product teams
 
 to deliver production-ready data solutions.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges analytically
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality data solutions
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 Education
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Computer Engineering, or related field
 
 </li>
 </ul>
 
 Technical Knowledge
 
 <ul>
 <li>
 Understanding of
 
 computer systems and cloud environments
 
 </li>
 <li>
 Understanding of
 
 network protocols and system connectivity
 
 </li>
 </ul>
 
 Systems Skills
 
 <ul>
 <li>
 Experience using
 
 Linux command line tools
 
 </li>
 <li>
 Familiarity with
 
 SSH, SFTP, Bash, IP, ports, and networking concepts
 
 </li>
 </ul>
 
 Data Engineering Skills
 
 <ul>
 <li>
 Experience developing and optimizing
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Experience with tools such as
 
 Informatica PowerCenter, Kafka, NiFi, or similar
 
 </li>
 </ul>
 
 Data &amp; Analytics
 
 <ul>
 <li>
 Strong
 
 SQL skills
 
 </li>
 <li>
 Understanding of
 
 data warehousing concepts and schema design
 
 </li>
 <li>
 Experience with
 
 data modeling and data lifecycle management
 
 </li>
 </ul>
 
 Programming
 
 <ul>
 <li>
 Programming experience using
 
 Python
 
 </li>
 <li>
 Scripting experience using
 
 Bash or similar tools
 
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience working with ETL or data engineering workflows
 
 </li>
 <li>
 Experience with
 
 Informatica PowerCenter and MDM
 
 </li>
 <li>
 Experience developing and scaling
 
 data models within modern data warehouse architectures
 
 </li>
 <li>
 Experience implementing
 
 data enrichment and transformation logic
 
 </li>
 <li>
 Experience optimizing queries and storage design for analytics workloads
 </li>
 <li>
 At least
 
 1 year of experience in fintech, regulated environments, or PCI/DSS compliance
 
 is preferred
 </li>
 <li>
 Familiarity with
 
 performance monitoring tools
 
 </li>
 </ul>
</div>

Payrails

<div>
 
 About Payrails
 
 
 
 Payrails is a global payment software company helping leading enterprises to take control of their payment operations and maximize performance. With deep experience in the payments space and firsthand knowledge of merchants' challenges, we&rsquo;ve seen how fragmented, complex, and inefficient these systems can become. Now, we are setting a new industry standard for how enterprises around the world manage and optimize payments, with more control, visibility and flexibility than ever before.
 
 
 Our vision is to reimagine payments from the ground up. We are building a deeply integrated meta layer that spans the entire payment lifecycle with a modular architecture. This helps us give leading brands building blocks to craft solutions to most complex operational challenges, tailor seamless customer experiences and grow their business.
 
 
 We are backed by some of the world&rsquo;s top investors including Andreessen Horowitz, HV Capital, EQT Ventures and General Catalyst, who share our mission to simplify payment complexity globally.
 
 
 At Payrails, we&rsquo;re committed to building a team of exceptional people - not just talented, but driven to build, solve, and deliver at the highest level. Excellence isn&rsquo;t just a value here; it&rsquo;s a way of working. We believe that great people thrive in environments where there&rsquo;s trust, clarity, and shared purpose. We work openly and collaboratively, with deep respect for each other&rsquo;s craft. Everyone is encouraged to understand the bigger picture - what we&rsquo;re building, why it matters, and what stands in the way. When people have that context, they move faster, take ownership, and make better decisions. We care about creating a culture where people feel inspired to do their best work and a deep sense of responsibility to help us bring our vision to life. Success at Payrails means staying focused on the problems that matter most, and executing with purpose.
 
 
 
 
 Your team
 
 
 
 
 At Payrails, data is at the core of everything we do. We don&rsquo;t just analyze data; we turn it into actionable insights that fuel smarter decision-making and drive the future of our products. As we continue to revolutionize the payments industry we are seeking an exceptional Senior Data Engineer to help us in our mission.
 
 
 Our Data Team is at the forefront of driving transformation, empowering every department to unlock the full potential of data
 
 
 
 
 How you will make an impact
 
 
 
 
 <ul>
 <li>
 Work alongside a talented team of analysts, data scientists and engineers to build data products and services that meet business requirements.
 </li>
 <li>
 Design, develop and maintain robust, scalable and observable batch and real-time data pipelines.
 </li>
 <li>
 Architect, build and maintain the data infrastructure at Payrails.
 </li>
 <li>
 Advocate for and implement data governance and security best practices.
 </li>
 <li>
 Contribute to tooling that improves data quality, CI/CD workflows, and data observability.
 </li>
 <li>
 Collaborate with cross-functional teams to understand requirements and design optimal solutions.
 
 
 </li>
 </ul>
 
 
 What we are looking for
 
 
 
 
 <ul>
 <li>
 You have extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services.
 </li>
 <li>
 You have strong proficiency in Python. Experience with GoLang is a plus.
 </li>
 <li>
 You are proficient in SQL, data modelling and operating common OLTP (e.g. PostgresSQL) and OLAP databases (e.g. Snowflake, Bigquery) at scale.
 </li>
 <li>
 You develop and maintain data pipelines using workflow management platforms such as Apache Airflow.
 </li>
 <li>
 You are knowledgeable of containerization technologies such as Docker and container orchestration platforms like Kubernetes.
 </li>
 <li>
 You communicate effectively and are proficient in English.
 </li>
 <li>
 You work independently and collaboratively in a fast-paced environment.
 </li>
 <li>
 Experience with real-time streaming technologies (e.g. Kafka, Kinesis) and distributed stream processing technologies (e.g. Apache Flink, Apache Beam, Kafka Streams) is an advantage.
 </li>
 <li>
 Familiarity working with infrastructure as code (e.g. Terraform) is preferred.
 </li>
 <li>
 FinTech or payments domain experience is a plus.
 
 
 </li>
 </ul>
 
 
 What we offer
 
 
 
 
 <ul>
 <li>
 High impact and high velocity environment with the most talented and ambitious people you will ever work with
 </li>
 <li>
 A chance to shape the story of a company and a category from the ground up
 </li>
 <li>
 Real ownership. You&rsquo;ll have the freedom and trust to build, test, and take lead
 </li>
 <li>
 A product used by the best brands around the world
 </li>
 <li>
 Hybrid working with an office in the heart of New Cairo
 </li>
 <li>
 Regular team events, activities and off-sites
 </li>
 <li>
 Competitive salary and equity package
 </li>
 <li>
 27 days of annual paid vacation
 
 
 </li>
 </ul>
</div>

Explore 628+ Big data engineer in Cairo this May. Find roles across top companies and apply now to boost your career.

628 big data engineer jobs In Cairo

Senior Data Engineer

Azure Data Engineer / Developer

Data Engineer (m/w/d)

Data Engineer

Data Engineer - Remote

Data Engineer

Senior Data Engineer