Senior Civil Engineer

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Join our dynamic team at dev2 as a Senior Java Engineer specializing in Big Data. In this role, you will leverage your expertise in Java and big data technologies to design, develop, and maintain scalable data solutions. You will collaborate with cross-functional teams to deliver high-quality products that meet our clients' needs.

Join our dynamic team at gsstech-group as a Senior Data Engineer. In this pivotal role, you will design, build, and enhance scalable data pipelines that empower advanced analytics and machine learning initiatives.Collaborating closely with Data Scientists, Analytics Delivery Leads, and interdisciplinary teams, you will transform raw data into impactful insights within a fast-paced Agile environment.Key ResponsibilitiesPartner with stakeholders to collect and evaluate data requirements.Conduct Exploratory Data Analysis (EDA) to discern data patterns and quality.Architect and implement robust, scalable, and high-performance data pipelines.Ingest, process, and convert extensive structured and unstructured datasets.Apply feature engineering techniques that bolster machine learning models.Enhance Spark jobs for optimal performance, scalability, and cost-effectiveness.Maintain data quality, integrity, and security across all pipelines.Work collaboratively with Data Scientists and Analytics teams to deploy ML pipelines.Engage in Agile ceremonies and contribute to ongoing improvements.Effectively communicate technical solutions to both technical and non-technical stakeholders.Required Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.8–10 years of experience in Data Engineering and Big Data ecosystems.Proficient programming skills in Python.Practical experience with PySpark / Apache Spark, including performance optimization.Strong knowledge of the Hadoop ecosystem.Advanced skills in SQL.Experience with data pipeline development and ETL frameworks.Familiarity with Machine Learning pipelines and feature engineering.Knowledge of version control systems (Git).Excellent problem-solving and analytical abilities.Good to HaveExperience with cloud platforms (AWS / Azure / GCP).Understanding of data warehousing solutions.Familiarity with workflow orchestration tools (e.g., Airflow).Experience in the banking or financial services sector.Key CompetenciesStrong collaboration and communication abilities.Capability to thrive in a fast-paced Agile setting.Detail-oriented with an ownership mindset.Proficient in stakeholder management and coordination.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe are in search of a talented Data Engineer with significant expertise in PySpark and the Cloudera Data Platform (CDP) to bolster our data engineering team. In this role, you will be tasked with the design, development, and maintenance of scalable data pipelines that guarantee high data quality and availability across the organization. A robust background in big data ecosystems, cloud-native tools, and advanced data processing techniques is essential.The right candidate will possess hands-on experience in data ingestion, transformation, and optimization within the Cloudera Data Platform, along with a solid history of implementing data engineering best practices. Collaboration with fellow data engineers will be key to creating solutions that yield impactful business insights.ResponsibilitiesDesign, develop, and sustain highly scalable and optimized ETL pipelines utilizing PySpark on the Cloudera Data Platform, ensuring data integrity and precision.Oversee data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.Employ PySpark to process, cleanse, and transform extensive datasets into actionable formats that fulfill analytical needs and business objectives.Optimize performance by tuning PySpark code and Cloudera components to enhance resource utilization and minimize ETL runtimes.Establish data quality checks, monitoring, and validation protocols to uphold data accuracy and reliability throughout the pipeline.Automate data workflows utilizing tools such as Apache Oozie, Airflow, or comparable orchestration tools within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and related data processes.Collaborate closely with other data engineers, analysts, product managers, and other stakeholders to comprehend data requirements and support various data-driven initiatives.Document data engineering processes, code, and pipeline configurations thoroughly.

Join our innovative team at mexdigital as an AI Data Engineer. In this role, you will be instrumental in shaping our data-driven solutions, leveraging cutting-edge AI technologies to enhance business processes and deliver impactful insights. Collaborate with cross-functional teams to design, implement, and maintain scalable data pipelines and machine learning models that drive our projects forward.

Welcome to SFORS! As a prominent player in the global financial markets, we pride ourselves on being at the forefront of proprietary trading and pre-market strategies. With over 20 years of experience, our success is driven by a relentless commitment to talent development, cutting-edge trading technologies, sophisticated risk management models, and strategic trading methodologies, all aimed at ensuring our traders achieve remarkable success.We are seeking a talented Data Engineer to join our dynamic team in Dubai. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure that support our analytics and machine learning initiatives. Your expertise will guarantee the seamless flow of data across various systems, uphold data modeling best practices, ensure stringent data security measures, and empower our teams with high-quality, structured data.

Role OverviewJoin us at gsstech-group as a Senior Technology Engineer, where you will play a pivotal role in enhancing the stability, automation, and operational excellence of our Data Science Platform (DSP).This is a hands-on engineering position, not a support role. You will be responsible for driving automation, orchestration, and reliability across a robust hybrid cloud ecosystem (OpenShift + AWS/Azure/GCP).Your expertise will be essential in ensuring the seamless operation of DSP. You will tackle issues head-on—if something fails, scales inadequately, or necessitates manual intervention, it will be your responsibility to implement a permanent solution.

Envision Employment Solutions is actively seeking talented Senior Data Management Engineers to join our esteemed partner, a prominent global leader in IT Services and Consulting.Job Overview:We are in search of a Senior Data Management Engineer who possesses extensive knowledge in data architecture, integration, and transformation, with a particular focus on leveraging Informatica tools. The successful candidate will be responsible for designing and implementing comprehensive enterprise data solutions that guarantee data accessibility, quality, governance, and scalability across various business domains.Your role will involve collaboration with cross-functional stakeholders to effectively translate business requirements into secure, reliable, and high-performance data systems.Key Responsibilities:Design, develop, and maintain robust ETL processes and data pipelines utilizing Informatica (PowerCenter, IDQ, or Cloud Data Integration).Optimize data integration workflows for both structured and unstructured data sources.Ensure the highest standards of data quality, integrity, governance, and security across enterprise platforms.Engage in data modeling and architectural discussions.Work closely with data architects, business analysts, and application teams to align data solutions with business objectives.Document data flows, transformations, and system architecture comprehensively.Identify and resolve performance bottlenecks and complex data-related challenges.Support initiatives related to enterprise data governance and metadata management.Qualifications:Bachelor’s degree in Computer Science, Information Systems, or a related field.3 to 5 years of professional experience in data engineering or management roles.Proficient hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration).Strong SQL skills and familiarity with relational databases (e.g., Oracle, SQL Server).Solid understanding of data warehousing concepts and enterprise data architecture.Experience in data governance and metadata management.Knowledge of cloud data platforms (AWS, Azure, or GCP) is advantageous.Excellent analytical and troubleshooting abilities.Fluent communication skills in English.Benefits and Work Environment:Competitive basic salary.Social insurance coverage.Comprehensive family medical insurance (AXA).Location: Dubai.Work Model: Hybrid – 2 days in the office and 3 days remote. Depending on project requirements, you may be required to work from the client’s premises more frequently.Working Hours: 9 AM to 6 PM.Days Off: Saturday and Sunday.

Join our innovative team at Whiteshield as a Senior Technology Engineer, where you'll spearhead the design, development, and optimization of expansive data platforms across Azure, Google Cloud, and hybrid environments.In this pivotal role, you will architect sophisticated data pipelines that drive AI-powered analytics, knowledge graphs, and autonomous automation within enterprise and national-level projects.The ideal candidate will possess extensive expertise in data architecture, orchestration, and cloud infrastructure, coupled with practical experience utilizing AI-assisted development tools to enhance delivery and ensure scalability, reliability, and intelligence across all layers of the data stack.Key Responsibilities:Design and lead the creation of comprehensive data pipelines utilizing technologies such as Apache Airflow, Azure Data Factory, and Google Cloud Composer.Develop and manage architectures for data lakes, data warehouses, and OLAP using MSSQL, SSIS, and SSAS.Construct and refine ETL/ELT frameworks to integrate structured, semi-structured, and unstructured data from various APIs, databases, and streaming platforms.Implement and oversee graph and NoSQL databases (e.g., Neo4j, Cosmos DB, MongoDB, Elasticsearch) to facilitate semantic analytics, search, and recommendation systems.Establish and uphold standards for data quality, lineage, governance, and observability.Collaborate with AI engineers, data scientists, and business analysts to enable retrieval-augmented generation (RAG), knowledge graph, and agentic orchestration applications.Lead multi-cloud infrastructure automation initiatives using Terraform, Pulumi, or Bicep alongside CI/CD pipelines.Promote AI-assisted coding methodologies (e.g., GitHub Copilot, ChatGPT, Cursor) to improve productivity, testing, and documentation.Mentor junior engineers, evaluate designs, and endorse best practices in data architecture, DevOps, and AI-native engineering.Contribute to strategic roadmap planning, focusing on capacity scaling, cost optimization, and data-driven innovation initiatives.

Join gsstech-group as a talented Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be responsible for designing, developing, and maintaining high-quality data pipelines that are both scalable and efficient. Your contributions will ensure optimal data performance and availability across our organization.This position requires extensive hands-on experience in big data technologies, cloud-native environments, and advanced data processing frameworks. You will collaborate with diverse teams to create reliable data solutions that facilitate actionable business insights.Key Responsibilities1. Data Pipeline DevelopmentCraft and sustain scalable ETL/ELT data pipelines utilizing PySpark on CDP.Guarantee data integrity, reliability, and performance optimization.2. Data IngestionBuild ingestion frameworks to gather data from various sources including relational databases, APIs, streaming platforms, and file systems.Load both structured and unstructured data into Data Lake and Data Warehouse environments.3. Data Transformation & ProcessingProcess, cleanse, and transform extensive datasets using PySpark.Create reusable data processing components.4. Performance OptimizationOptimize Spark jobs and Cloudera components for peak performance.Enhance memory, partitioning, and execution strategies.Minimize ETL runtime and elevate cluster efficiency.5. Data Quality & ValidationEstablish data validation checks and monitoring systems.Maintain comprehensive data quality and governance standards.6. Automation & OrchestrationAutomate workflows using Apache Oozie, Apache Airflow, or similar orchestration tools.Support CI/CD integration for data pipelines.7. Monitoring & SupportOversee pipeline health and troubleshoot any issues that arise.Provide ongoing production support and drive continuous improvement initiatives.

We are excited to invite an accomplished Senior Mechanical Engineer - Design to join our innovative team in Dubai, UAE. The ideal candidate will possess extensive mechanical design expertise, particularly in Data Center or Critical Facilities projects. This role, which is office-based, involves mentoring and guiding our emerging engineers while contributing to team growth. Our vibrant work environment offers an excellent platform to elevate your engineering career. With a supportive culture, a diverse workforce, competitive remuneration, flexible working hours, and enjoyable social events, we provide everything you need for a fulfilling and rewarding career.

Join gsstech-group as a Data Engineer specializing in PySpark and Data Modeling. In this critical role, you will leverage your expertise to design, construct, and maintain robust data pipelines that facilitate data analysis and reporting.As a Data Engineer, you will collaborate closely with data scientists and analysts to ensure that our data architecture supports the needs of the business. Your work will directly contribute to the optimization of our data management processes and the strategic use of data across the organization.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Join Veeam Software as a Senior Domain Engineering Specialist in our Dubai office, where you will leverage your expertise to drive innovative solutions in data management and protection. You will be part of a dynamic team focused on enhancing our product offerings and ensuring the highest level of customer satisfaction through robust engineering practices.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, renowned for our extensive expertise in deploying intelligent enterprise systems across diverse industries, particularly in financial services and banking. Our team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a pragmatic grasp of intricate business operations.The Data Engineer will play a pivotal role in designing, implementing, and optimizing data pipelines and infrastructure to bolster our innovative AI systems. This role involves close collaboration with our cross-functional team to ensure the effective collection, storage, processing, and analysis of large-scale data, unlocking valuable insights and fostering innovation across various sectors.

Join our dynamic team at ghobashgroup as a Junior Data & AI Engineer, where you will be instrumental in leveraging data-driven solutions to enhance our AI capabilities. This role is tailored for Emirati nationals who are eager to kickstart their careers in the exciting fields of data science and artificial intelligence.

Role overview The Senior Structural Engineer at Egis Group will work in Dubai, focusing on the design and supervision of structural elements across various projects. This position plays a key part in making sure that all structures meet safety requirements and align with project objectives. What you will do Create structural designs for different types of projects Supervise project implementation to ensure structural integrity is maintained Verify that all work complies with safety standards and design specifications This position contributes directly to the quality and success of engineering projects throughout Dubai.

AECOM is seeking a Senior Design Engineer in Dubai to support major infrastructure projects. This role centers on guiding design efforts from concept through delivery, ensuring technical quality and alignment with client requirements. Role overview The Senior Design Engineer leads project design activities, applying deep engineering knowledge to solve complex challenges. Collaboration with multidisciplinary teams and stakeholders is a key part of the position. What you will do Oversee and contribute to the design of infrastructure projects Ensure designs meet client expectations and project specifications Support the execution of technically demanding engineering tasks Requirements Extensive experience in engineering design, ideally within infrastructure development Strong ability to manage complex projects and coordinate with diverse teams Proven track record of delivering high-quality technical solutions

Oversee the technical components and conceptual development while coordinating with site teams and project consultants for structural design packages of permanent works, under the guidance of Senior Project Managers.Supervise the technical aspects, concept development, and collaboration with site teams and project consultants for temporary works structural design packages under the Senior Project Managers' guidance.Assist the Tender Department by providing essential information including quantities, ratios, design planning, consultant scope of work, feedback on FEED design, technical bidding strategies, risks and opportunities, and permitting details for both permanent and temporary works.Outline fundamental design planning steps and finalize the design schedule under the supervision of Senior Project Managers.Generate comprehensive design reports addressing complex topics based on calculations conducted using various FEM tools, including non-linear and time-dependent analyses.Work closely with site execution teams and department heads to create valid, complete, and innovative technical solutions that promote safe and timely execution.Exhibit proficiency in design and building codes (ACI, Eurocode, British Standards) as well as relevant scientific literature.Demonstrate strong communication skills to actively engage in or lead technical meetings with site teams and project consultants, while providing meeting minutes and summaries to Senior Project Managers.Collaborate with architects, contractors, and fellow engineers to ensure projects align with design specifications and safety standards.Mentor and guide junior engineers and designers.