electrical engineer

estimation engineer

planning engineer

sales engineer

civil engineer

data engineer

Saal.ai

<div>
 
 
 Job Purpose
 
 
 
 As a Data Engineer at SAAL.ai, you will be responsible for designing, building, and operating scalable and resilient data platforms that enable high-impact analytics, insights, and decision-making. You will work closely with product, analytics, and engineering teams to prototype, deliver, and operate reliable data pipelines and big-data services in production environments.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define, design, and develop services for large-scale data ingestion, storage, and management across relational databases, NoSQL systems, log files, and event streams.
 </li>
 <li>
 Design, build, and operate scalable batch and streaming data pipelines in production environments.
 </li>
 <li>
 Ensure data platforms meet performance, reliability, scalability, and low-latency requirements.
 </li>
 <li>
 Develop highly concurrent systems for processing structured and unstructured datasets.
 </li>
 <li>
 Design and implement workflows and pipelines using tools such as Apache NiFi, Kafka, Spark, Flink, and Airflow.
 </li>
 <li>
 Support both batch and real-time data processing use cases.
 </li>
 <li>
 Collaborate with internal product teams and third-party service providers on system integrations and platform enhancements.
 </li>
 <li>
 Participate in sprint planning, development, and delivery activities.
 </li>
 <li>
 Ensure solutions are deployable, observable, and operationally manageable in live production environments.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualification
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field is preferred.
 
 
 
 
 
 
 Experience
 
 
 
 Minimum 5 years of professional experience as a Data Engineer or Big Data Engineer.
 
 
 
 
 
 
 Essential Skills
 
 
 <ul>
 <li>
 Strong experience in designing and operating data pipelines using Apache NiFi, Kafka, Spark, Flink, and Airflow.
 </li>
 <li>
 Solid understanding of distributed data architectures, data modelling, OLAP design, and change data capture (CDC), including tools such as Debezium.
 </li>
 <li>
 Experience with large-scale storage and messaging platforms, including MinIO/S3 and Kafka.
 </li>
 <li>
 Proficient in batch and real-time data processing, with familiarity in data formats such as Avro, Parquet, and ORC.
 </li>
 <li>
 Strong scripting or programming skills.
 </li>
 <li>
 Experience working in Agile environments and using version control systems such as Git.
 </li>
 <li>
 Experience delivering enterprise-scale analytics and reporting platforms, strong understanding of infrastructure and container-based deployments, and the ability to advise on emerging data technologies and best practices.
 </li>
 </ul>
</div>

Data Engineer

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Senior Data Engineer
 
 
 
 
 Location: UAE
 
 
 
 We are working with a highly innovative technology business who are looking to hire a Senior Data Engineer to support the continued expansion of its data and machine learning capabilities. This opportunity sits within a fast paced engineering environment focused on building scalable, high-performance platforms used across advanced technology and security-focused products.
 
 
 The successful candidate will play a key role in developing robust data solutions that enable analytics, operational reporting, and AI-driven initiatives across the organisation.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 &bull; Develop and improve large-scale data pipelines capable of handling high-volume datasets
 
 
 &bull; Support the architecture and optimisation of modern data platforms and storage environments
 
 
 &bull; Work with structured and unstructured data from a variety of internal and external sources
 
 
 &bull; Build efficient frameworks for real-time and batch data processing
 
 
 &bull; Maintain data reliability, consistency, and overall platform performance
 
 
 &bull; Partner with software engineers, data scientists, and product stakeholders to deliver scalable solutions
 
 
 &bull; Identify and resolve issues across data workflows and production environments
 
 
 &bull; Contribute to best practices around data security, governance, and infrastructure standards
 
 
 
 
 
 
 Requirements:
 
 
 
 &bull; Previous experience in Data Engineering within a scalable technology-driven environment
 
 
 &bull; Strong knowledge of distributed data processing tools such as Apache Spark
 
 
 &bull; Experience working with NoSQL databases, particularly MongoDB
 
 
 &bull; Exposure to modern data lake or large-scale storage technologies
 
 
 &bull; Strong understanding of data architecture, optimisation, and performance tuning
 
 
 &bull; Comfortable working across cloud-based or enterprise data ecosystems
 
 
 
</div>

Senior Data Engineer

QuantumGate

<div>
 
 QuantumGate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.
 
 
 
 
 
 We are seeking a talented and motivated Data Engineer to join our fast-growing ML-team. The ideal candidate has strong experience with distributed data processing, NoSQL databases, and modern data lake technologies. You will play a key role in designing and maintaining scalable data pipelines that power business intelligence, analytics, and machine learning initiatives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines using Apache Spark and/or similar solutions.
 </li>
 <li>
 Manage and optimize large datasets stored in Apache Iceberg tables.
 </li>
 <li>
 Design, build, and optimize data infrastructure.
 </li>
 <li>
 Integrate data from various sources including MongoDB, APIs, and flat files.
 </li>
 <li>
 Optimize data processing workflows for batch and real-time analytics.
 </li>
 <li>
 Implement and enforce data governance, data quality, and security best practices.
 </li>
 <li>
 Troubleshoot and resolve data-related issues in dev/production environments.
 </li>
 <li>
 Work closely with data scientists, analysts, and product teams to understand data needs and deliver efficient solutions.
 </li>
 <li>
 Monitor pipeline performance and troubleshoot data quality issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 3+ years of experience in data engineering or related roles.
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 o Apache Spark (PySpark, Scala, or Java)
 </li>
 <li>
 o MongoDB (data modeling, aggregation framework, replication)
 </li>
 <li>
 o Apache Iceberg or other data lake table formats (Delta Lake, Hudi)
 </li>
 <li>
 Proficient in SQL and at least one programming language (Python, Scala, or Java).
 </li>
 <li>
 Experience with data pipeline orchestration tools (e.g., Airflow).
 </li>
 <li>
 Understanding of data warehousing concepts (star schema, partitioning).
 </li>
 <li>
 Familiarity with cloud platforms such as AWS or Azure.
 </li>
 </ul>
 
 
 
 
 
 Nice to have qualifications
 
 
 
 
 
 <ul>
 <li>
 Experience with stream processing (e.g., Kafka, Flink).
 </li>
 <li>
 Experience with Kubernetes for containerized data workloads.
 </li>
 <li>
 Familiarity with CI/CD practices and infrastructure as a code (e.g., Terraform)
 </li>
 </ul>
 
 
 
 
 Join us to drive innovation and shape the future of technology!
 
</div>

Luxoft

<div>
 
 
 Project Description:
 
 
 
 
 
 
 The Senior Engineer - Data Governance &amp; Platform Lead (IB&amp;M) is a hands-on senior technical role responsible for defining, implementing, and governing the IB&amp;M Data Platform with a strong focus on data governance, quality, lineage, security, and platform standards.
 
 
 The role will work closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams to ensure data is trusted, compliant, and scalable across the enterprise. This is not a people management role but requires strong technical leadership and ownership across the data lifecycle.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 Data Governance &amp; Control
 
 
 &bull; Define and implement data governance frameworks covering:
 
 
 o Data ownership, stewardship, and accountability
 
 
 o Data quality rules, controls, and monitoring
 
 
 o Metadata management, data cataloging, and lineage
 
 
 &bull; Ensure compliance with regulatory, risk, and internal governance requirements across IB&amp;M data assets
 
 
 &bull; Partner with Risk, Compliance, and Audit teams to support regulatory use cases and thematic reviews
 
 
 Data Platform Leadership
 
 
 &bull; Lead the design and evolution of the IB&amp;M Data Platform, aligned with enterprise standards
 
 
 &bull; Drive governance capabilities across the Lakehouse architecture (ADLS, Databricks, Delta Lake)
 
 
 &bull; Define platform standards for:
 
 
 o Data ingestion (batch / micro-batch / streaming)
 
 
 o Schema enforcement and validation
 
 
 o Data modeling and standardization
 
 
 o Secure data access and entitlements
 
 
 Architecture &amp; Engineering
 
 
 &bull; Act as a technical authority for data architecture decisions within IB&amp;M
 
 
 &bull; Review and guide solution designs produced by internal teams and vendors
 
 
 &bull; Ensure scalability, performance, reliability, and cost efficiency of the platform
 
 
 &bull; Support hybrid architectures (Cloud + On Prem) where required by business or regulatory constraints
 
 
 Enablement &amp; Collaboration
 
 
 &bull; Work closely with Data Engineering, Analytics, BI, AI/ML, and Business teams
 
 
 &bull; Enable self service analytics while maintaining strong governance controls
 
 
 &bull; Provide technical guidance, best practices, and design reviews across IB&amp;M initiatives
 
 
 &bull; Support onboarding of new use cases onto the GM / IB&amp;M Data Platform
 
 
 
 
 
 
 Mandatory Skills Description:
 
 
 
 
 
 
 &bull; 10+ years of experience in Data Engineering, Data Platforms, or Data Architecture
 
 
 &bull; Proven experience leading data governance initiatives in large, regulated environments (Banking/Financial Services preferred)
 
 
 &bull; Strong background supporting Global Markets / Investment Banking data domains is highly desirable
 
 
 Technical Skills:
 
 
 &bull; Strong hands-on experience with:
 
 
 o Azure Data Lake (ADLS)
 
 
 o Databricks / Delta Lake / Lakehouse architectures
 
 
 o Data quality, schema enforcement, and validation frameworks
 
 
 &bull; Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon or similar)
 
 
 Solid understanding of:
 
 
 o Data modeling (analytical and canonical models)
 
 
 o Metadata management and lineage
 
 
 o Secure data access and entitlements
 
 
 &bull; Good understanding of AI/ML and analytics enablement within governed data platforms
 
 
 
 
 
 
 Nice-to-Have Skills Description:
 
 
 
 
 
 
 &bull; Strong ownership mindset with ability to work independently
 
 
 &bull; Excellent stakeholder management and communication skills
 
 
 &bull; Ability to translate regulatory and business requirements into technical solutions
 
 
 &bull; Comfortable working in complex, multi vendor, enterprise environments
 
 
 
</div>

Senior Data Engineer (Data Platform Databricks)

<div><div><h5 class="jobSectionHeader">Project description
</h5>Role Description - We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.
</div><div><h5 class="jobSectionHeader">Responsibilities</h5>
<div><div>Manage and optimize data platforms (Databricks, Palantir).
</div><div>Ensure high availability, security, and performance of data systems.
</div><div>Provide valuable insights about data platforms usage.
</div><div>Optimize computing and storage for large-scale data processing.
</div><div>Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
</div><div>Optimize ETL Processes &ndash; Enhance and tune existing ETL processes for better performance, scalability, and reliability.
</div></div></div><div><h5 class="jobSectionHeader">Skills</h5>
Must have
<div><div>Minimum 10 Years of experience in IT/Data.
</div><div>Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
</div><div>Bachelor's in IT or related field.
</div><div>Infrastructure &amp; Cloud: Azure, AWS (expertise in storage, networking, compute).
</div><div>Data Platform Tools: Any of Palantir or Databricks.
</div><div>Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
</div><div>SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
</div><div>Data Warehousing: Experience working with data warehousing concepts and Palantir or Databricks platforms.
</div><div>ETL Tools: Familiarity with ETL tools &amp; processes
</div><div>Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
</div><div>Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
</div><div>Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
</div><div>Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.
</div></div>Nice to have
<div><div>Containerization &amp; Orchestration: Docker, Kubernetes.
</div><div>Infrastructure as Code (IaC): Terraform.
</div><div>Understanding of Investment Data domain (desired).
</div></div></div><div><h5 class="jobSectionHeader">Other</h5>
<div><div><div>Languages
English: C1 Advanced
</div></div><div><div>Seniority
Senior</div></div></div></div></div>
 <div><div><div>Abu Dhabi, United Arab Emirates
</div>Req. VR-122803
</div><div></div><div><div>Python
</div><div>BCM Industry
</div><div>03/06/2026
</div><div>Req. VR-122803</div></div></div>

Lead Data Platform Engineer (Palantir or Databricks)

Synechron

<div>
 
 We have an Immediate Job opportunity for ETL Developer position.
 
 
 
 
 
 Job Role: ETL Developer
 
 
 Job Location: Abu Dhabi, UAE
 
 
 Experience : 6 to 14 Years
 
 
 Notice Period: Immediate
 
 
 
 
 
 About Company:
 
 
 At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 15,000+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn communit
 
 
 
 
 
 Diversity, Equity, and Inclusion:
 
 
 Diversity &amp; Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative &lsquo;Same Difference&rsquo; is committed to fostering an inclusive culture &ndash; promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements, and individual qualifications, without regard to the applicant&rsquo;s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected.
 
 
 
 
 
 Job Description:
 
 
 Design and build Informatica PowerCenter ingestion pipelines for all identified source tables to the Azure Data Lake Bronze zone, supporting both full initial loads and incremental CDC/batch loads.
 
 
 Implement schema drift detection, metadata capture, parameterization for reusability across environments and table lists, and idempotency/retry logic.
 
 
 Develop EDS Data Quality checks at ingress (completeness, validity, referential integrity) with alerting dashboards; produce reconciliation reports vs. ETHIX source counts and totals.
 
 
 Build Silver-zone transformation logic on Cloudera CDP using Spark: CASA variable calculations including window functions, aggregations, date logic, currency normalisation, product hierarchy mapping, customer de-dup, and survivorship rules.
 
 
 Develop and maintain the CASA Variables Catalog: name, definition, formula, grain, data type, source lineage, DQ rules, and business owner per variable (60+ variables).
 
 
 Build unit tests for transformation logic and produce reconciliation reports against sample business expected outcomes or legacy/manual calculations.
 
 
 Design target RDBMS schema (entities, PKs, surrogate keys, indexes, constraints, partitioning strategy) and produce DDL scripts with deployment guides.
 
 
 Develop Informatica publish jobs (merge/upsert strategies) from Gold zone to centralized RDBMS with performance tuning (batch size, indexing, statistics maintenance).
 
 
 Integrate ETL pipelines into CI/CD (build, unit test, security scan, deploy, rollback) and support CAB approval process for production deployments.
 
 
 
 
 
 Required Skills:
 
 
 3+ years hands-on Informatica PowerCenter (mappings, sessions, workflows, parameter files, CDC connectors); Informatica Cloud (IICS) familiarity a plus.
 
 
 Solid experience with ADLS Gen2 zone design (Bronze/Silver/Gold Medallion architecture), Azure Purview for lineage/cataloguing, and Azure-based orchestration.
 
 
 Proven experience with Cloudera CDP, Apache Spark (PySpark or Scala), Hive, and Impala for large-scale data transformation and CASA-type variable computation.
 
 
 Familiarity with enterprise data quality frameworks; experience implementing DQ rules (completeness, validity, uniqueness, referential integrity) with alerting and dashboards.
 
 
 Strong SQL skills (Oracle, SQL Server, or PostgreSQL); experience with DDL design, merge strategies, indexing, partitioning, and performance tuning.
 
 
 Experience with dimensional and relational data modelling; familiarity with SCD, surrogate keys, audit columns, and data lineage documentation.
 
 
 Experience in financial services data (CASA accounts, transaction data, core banking extracts); understanding of credit scoring variable construction preferred.
 
 
 Experience with CI/CD pipelines for ETL (build, deploy, rollback); familiarity with Git, JIRA, and change management processes (CAB).
 
 
 
 
 
 Qualifications:
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in computer science, Information Systems, or related field
 
 
 
 
 
 Soft Skills:
 
 
 Excellent communication and leadership skills.
 
 
 Strong interpersonal and collaboration skills.
 
 
 Ability to work under pressure and meet tight deadlines.
 
 
 Positive attitude and strong work ethic.
 
</div>

ETL Developer

ICEYE

<div>
 
 Role Highlights
 
 
 
 <ul>
 <li>
 Role: Forward Deployed AI Engineer
 </li>
 <li>
 Department: Forward Deployed Engineering
 </li>
 <li>
 Location: Sweden (Stockholm), Netherlands (Breda), Poland (Warsaw), UAE (Abu Dhabi), Germany (Berlin), Portugal (Lisbon), Greece (Athens)
 </li>
 <li>
 Reports to: VP, Forward Deployed Engineering
 </li>
 <li>
 Working type: Hybrid (On-site at customer locations approx. 50% of time)
 </li>
 <li>
 Must be eligible and able to attain relevant national and NATO security clearances at the highest level.
 </li>
 <li>
 Must be based in-country and native level speaker of the country you're deploying to.
 
 
 </li>
 </ul>
 
 The Mission of the Forward Deployed AI Engineer
 
 
 
 In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You&rsquo;ll deploy ICEYE&rsquo;s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it&mdash;everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
 
 
 
 Who We Are
 
 
 
 ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
 
 
 ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
 
 
 ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
 
 
 Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
 
 
 
 Day To Day Responsibilities
 
 
 
 
 Platform Deployment &amp; Integration
 
 
 
 <ul>
 <li>
 Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).
 </li>
 <li>
 Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.
 </li>
 <li>
 Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.
 </li>
 <li>
 Troubleshoot deployment issues in disconnected environments without external internet access.
 
 
 </li>
 </ul>
 
 AI Solution Development &amp; Customization
 
 
 
 <ul>
 <li>
 Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.
 </li>
 <li>
 Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.
 </li>
 <li>
 Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.
 </li>
 <li>
 Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.
 
 
 </li>
 </ul>
 
 Data Fusion &amp; Intelligence Workflows
 
 
 
 <ul>
 <li>
 Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).
 </li>
 <li>
 Develop automated workflows that correlate and cross-reference information across different data modalities.
 </li>
 <li>
 Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.
 
 
 </li>
 </ul>
 
 Customer Engagement &amp; Rapid Prototyping
 
 
 
 <ul>
 <li>
 Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.
 </li>
 <li>
 Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.
 </li>
 <li>
 Conduct hands-on training sessions on platform capabilities and AI workflow usage.
 </li>
 <li>
 Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.
 
 
 </li>
 </ul>
 What we are looking for
 
 
 
 Must Have Skills
 
 
 
 <ul>
 <li>
 3+ years hands-on software engineering building and deploying production systems.
 </li>
 <li>
 Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
 </li>
 <li>
 Hands-on experience with LLMs, prompt engineering, and RAG systems.
 </li>
 <li>
 Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
 </li>
 <li>
 Experience with Docker and deploying in secure / isolated / air-gapped environments.
 </li>
 <li>
 Practical experience with APIs, data pipelines, and integrating systems in production,
 </li>
 <li>
 Familiarity with Linux and basic Kubernetes operations.
 </li>
 <li>
 Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.
 </li>
 <li>
 Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
 </li>
 <li>
 Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
 </li>
 <li>
 Willingness to travel 40&ndash;60% to customer sites within the region.
 
 
 </li>
 </ul>
 
 Nice To Have Skills
 
 
 
 <ul>
 <li>
 Experience in defense, intelligence, or government operational environments.
 </li>
 <li>
 Deploying to on-prem data centers and/or air-gapped networks.
 </li>
 <li>
 Familiarity with geospatial data, satellite imagery, or remote sensing.
 </li>
 <li>
 Experience with MCP integrations, multi-agent systems, or agentic workflows.
 </li>
 <li>
 Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
 </li>
 <li>
 Understanding of intelligence analysis workflows and defense/government requirements.
 </li>
 <li>
 Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
 </li>
 <li>
 Background in solution engineering, technical consulting, or customer success.
 </li>
 <li>
 Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).
 
 
 </li>
 </ul>
 
 Application process
 
 
 
 <ul>
 <li>
 Talent Acquisition Interview
 </li>
 <li>
 Take home task
 </li>
 <li>
 Hiring Manager Interview
 </li>
 <li>
 Hiring Team Interview
 </li>
 <li>
 Offer Decision
 
 
 </li>
 </ul>
 
 Working at ICEYE
 
 
 
 At ICEYE, you&rsquo;ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
 
 
 
 How We Work (Our Values)
 
 
 
 
 Make the impossible possible:
 
 We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
 
 
 <ul>
 <li>
 Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the &ldquo;why&rdquo; behind decisions.
 </li>
 <li>
 See the big picture: Stay close to what&rsquo;s happening across the company so you can make better decisions. Consider how your work affects others.
 </li>
 <li>
 Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
 </li>
 <li>
 Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
 </li>
 <li>
 Have fun: What we do matters&mdash;and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Our benefits are designed to support your health and wellbeing&mdash;at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
 
 
 
 Our commitment to Diversity, Equity and Inclusion
 
 
 
 We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
 
 
 We&rsquo;re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us&mdash;we&rsquo;ll do our best to help.
 
 
 Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com
 
 
</div>

Forward Deployed AI Engineer

Explore 621+ Data engineer in Abu Dhabi this June. Find roles across top companies and apply now to boost your career.

621 data engineer jobs In Abu Dhabi

Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (Data Platform Databricks)

Lead Data Platform Engineer (Palantir or Databricks)

ETL Developer

Forward Deployed AI Engineer