Bioinformatics Data Engineer

At GenBio AI, we are pioneers in developing multiscale foundation models aimed at decoding and simulating the complexities of human biology. Our mission is to empower scientists in overcoming significant challenges in drug discovery, healthcare, and fundamental research through our innovative framework, AIDO (AI-Driven Digital Organism). This integrated syst…

Job Title: Data Engineer – Automation & AILocation: Abu Dhabi or Dubai, UAEEngagement: Full-time (On-site)Contract Duration: 3 or 6 months + potential extensionsStart Date: February 2026Riverflex is collaborating with a premier financial institution in the UAE to spearhead a strategic Proof of Concept aimed at enhancing data engineering productivity through automation and AI technologies. We are on the lookout for a Data Engineer – Automation & AI who possesses robust experience in Generative AI and agent-based methodologies to lead this initiative from inception to completion. The role entails leveraging AI-driven techniques for the design, migration, and development of AWS-based data pipelines.This position is primarily focused on revolutionizing data engineering practices with AI integration, rather than just pipeline development. You will serve as the internal authority on AI applications in daily data engineering operations, collaborating closely with the partner’s Data Lead and becoming an integral part of the on-site engineering team. A crucial aspect of this role involves translating legacy SQL scripts and stored procedures into contemporary AWS Glue pipelines while defining scalable AI patterns, tools, and guardrails that extend beyond the scope of the Proof of Concept.

Join Etihad Airways as a Manager of Data & Platform Engineering, where you will lead the engineering team to develop and enhance our data platforms. This role is pivotal in ensuring the integrity and performance of our data systems, enabling us to drive business intelligence and operational excellence.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, recognized for our robust implementation of intelligent enterprise systems across diverse sectors, particularly in financial services and banking. Our team expertly merges advanced data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a profound understanding of intricate business operations.We are on the lookout for a talented AWS Glue Data Engineer to enhance our Data Factory Squad. In this role, you will take charge of migrating source systems into our Lakehouse ingestion zone, focusing on the development of scalable ingestion pipelines, optimizing performance, and ensuring adherence to architectural and data assurance standards.The ideal candidate will possess substantial experience in financial services, with a strong command of AWS Glue, PySpark, and ETL pipeline development.Your key responsibilities as the AWS Glue Data Engineer will encompass:Data Ingestion DevelopmentCreating and implementing AWS Glue jobs for Bronze layer ingestion using established standards and templates.Employing appropriate loading techniques based on source requirements (CDC, full load, delta, snapshot).Designing and executing historical loading processes to integrate legacy data into the Lakehouse.Performance OptimizationEnhancing Glue job performance (DPU allocation, parallelization, partitioning) in line with industry best practices.Collaborating with platform teams to ensure alignment in tooling and optimization efforts.Migration & AutomationProactively migrating source tables to the Bronze layer, initially utilizing manual methods with standards/templates, and subsequently leveraging AI-driven acceleration.Ensuring jobs are version-controlled and that production deployment is automated using Git and Terraform.Governance & MonitoringEstablishing connectivity with source systems within the CDP in partnership with source system owners.Guaranteeing compliance with data contracts and effective monitoring of jobs.Preparing documentation and facilitating handover to operational support teams.CollaborationWorking closely with the Data Architect to establish ingestion patterns and standards.Coordinating with the Data Assurance Lead to ensure quality checks across all jobs.Partnering with platform engineers for tooling and optimization enhancements.RequirementsWe expect you to have:Expertise in AWS Glue, PySpark, and ETL pipeline development;In-depth knowledge of Lakehouse architecture and Medallion design principles;Familiarity with CDC, delta loads, and historical data ingestion strategies;5+ years of experience in data engineering roles, with a focus on...

JOB PURPOSEAs the Associate Vice President – Data Engineering Lead, you will be a pivotal member of our team, responsible for the architecture, construction, and scaling of cutting-edge data engineering and artificial intelligence platforms within our organization. This role merges deep technical expertise with architectural leadership to create secure, scalable, and production-ready data pipelines and AI solutions, including advanced Generative AI and large language model (LLM) systems.You will engage in the design and implementation of robust data and AI architectures, write high-quality production code, prototype innovative capabilities, and collaborate closely with data engineers, data scientists, and product teams to operationalize analytics and AI use cases at an enterprise scale.ROLES AND RESPONSIBILITIES- Architect, build, and enhance scalable data pipelines using Python, Spark, and Databricks for both batch and real-time workloads.- Design, develop, and maintain ELT/ETL pipelines, data transformations, and feature engineering workflows.- Prototype, test, and productionize AI and Generative AI solutions, advancing from proof of concepts to enterprise-ready applications.- Build and deploy cloud-native data and AI solutions on Microsoft Azure, utilizing services such as Azure OpenAI, Azure Databricks, Azure Kubernetes Service, App Services, Azure Functions, and Azure Storage.- Develop containerized data and AI services using Docker and Kubernetes, adhering to DevOps and CI/CD best practices.- Create and implement secure APIs and microservices to expose data and AI capabilities to downstream applications.- Implement monitoring and observability for data pipelines and AI systems, focusing on metrics such as latency, data quality, model performance, drift, and cost efficiency.- Optimize cloud and AI workloads for performance, scalability, and cost-effectiveness.- Actively contribute to code, perform design and code reviews, and troubleshoot complex production issues across data and AI systems.- Serve as a hands-on technical mentor, leading by example within data engineering and AI teams.- Influence technical standards and long-term architecture while being actively involved in daily delivery.

About the Institute of Foundation Models The Institute of Foundation Models is a pioneering research laboratory committed to the development, comprehension, utilization, and risk management of foundation models. Our mission is to propel research initiatives, cultivate the next generation of AI innovators, and make significant contributions to a knowledge-based economy. Joining our team means engaging in the heart of advanced foundation model training, collaborating with esteemed researchers, data scientists, and engineers to address fundamental and high-impact challenges in AI advancement. You will play a vital role in crafting innovative AI solutions capable of transforming entire sectors. Your strategic and inventive problem-solving abilities will contribute to establishing MBZUAI as a worldwide leader in high-performance computing for deep learning, fostering discoveries that will inspire future AI trailblazers.The Role As a Data Engineer focused on Natural Language Processing (NLP) and large-scale data processing, your primary responsibility will be to efficiently collect, curate, and prepare high-quality datasets that support groundbreaking NLP research. You will empower researchers by providing essential data through scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily utilizing Python and associated technologies.

Role OverviewAs the Director of the Government-Wide Data Cleansing Program, you will spearhead initiatives aimed at enhancing data quality across various government entities. Your leadership will ensure the implementation of effective data cleansing strategies, enterprise data modeling, and dataset publication, thereby promoting the availability of high-quality, trustworthy data. You will also facilitate ongoing monitoring and governance, fostering continuous improvements in data quality.Primary Responsibilities• Develop and direct the overarching data cleansing strategy for the government, ensuring adherence to data quality standards and alignment with governmental priorities.• Create a structured framework for prioritizing essential datasets and orchestrating a phased execution across various entities.• Standardize, automate, and scale the data cleansing lifecycle utilizing cutting-edge tools and AI solutions, while governing reusable processes.• Implement and manage a multi-vendor model for data cleansing, ensuring synchronized execution and performance oversight across entities.• Oversee large-scale initiatives aimed at improving data quality, ensuring compliance with established quality metrics and thresholds.• Guide the development of enterprise data models for government entities, ensuring compliance with overarching data standards and interoperability requirements.• Supervise the creation, standardization, and dissemination of cleansed datasets within the Government Wide data catalog, promoting accessibility and reuse.• Lead the development of data quality dashboards to monitor key performance indicators and track cleansing progress.• Establish and chair governance bodies to ensure timely delivery, facilitate issue resolution, and ensure alignment with stakeholders.• Develop and maintain sustainable data quality and cleansing frameworks for long-term enhancement and upkeep.• Regularly report to senior leadership regarding program advancements, risks, and impact on data maturity.

Role OverviewAs the Data Platform Technology Architect, you will spearhead the architecture, design, and continuous enhancement of the core data platforms for government operations. Your role is pivotal in ensuring that these platforms are scalable, secure, and capable of seamless integration across various government entities. You will facilitate data exchange, support advanced use cases, and ensure compliance with government-wide strategies and policies.Primary Responsibilities• Define and manage the comprehensive architecture of core data platforms, emphasizing scalability, performance, and security.• Provide strategic advice on technology selection, solution architecture, and platform harmonization to ensure effective and sustainable deployments that align with government data strategies and policies.• Lead the architecture and management of a complex ecosystem of data platforms, ensuring interoperability and consistency across multiple vendors and technologies.• Design and oversee a data-sharing platform that enables secure and standardized data flows among entities.• Supervise the implementation and evolution of components for data sharing, provisioning, and performance metrics.• Guide the design and execution of entity-level data solutions, including data ingestion, storage (data lakes and warehouses), catalogues, master data management, integration layers, and analytics capabilities.• Ensure interoperability across government entities through standardized data exchange protocols, APIs, and integration practices.• Manage the lifecycle of platforms, including setup, operations, upgrades, migrations, and the retirement of legacy systems.• Engage stakeholders to align the platform roadmap with strategic objectives and evolving data use cases.• Collaborate with engineering teams and vendors to guarantee high-quality delivery and deployment of platforms.• Drive adoption and realization of platform value through enablement and activation of use cases.Essential Qualifications• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.• Over 20 years of experience in technology architecture, particularly in designing and deploying large-scale data platforms in multinational or multi-entity environments, preferably in Europe or North America.• Demonstrable experience in architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems.

Key Responsibilities: Collaborate with various business segments within the Personal Banking Group (PBG) to harness analytics capabilities, translating insights into actionable strategies for customer acquisition, cross-selling, up-selling, retention, and customer recovery.Employ advanced statistical and predictive modeling techniques to develop, maintain, and enhance multiple decision-making systems. Design experiments and validate business hypotheses effectively.Assess available and relevant data within the bank for analytics purposes, identifying internal and external data sources, and leveraging new data collection methods such as geo-location and unstructured data from emails, logs, and social media.Innovate and implement effective strategies to tackle business challenges using analytics, clearly communicating results and methodologies.Analyze patterns and variations in data characteristics, including volume and speed, to support predictive analysis initiatives using diverse data types (e.g., images, text, clickstream, or metering data).Ensure continuous tracking and monitoring of the performance of decision systems and statistical models developed by the data science unit.

Role SummaryAs the Chief Specialist in Data Governance, you will spearhead the creation and implementation of comprehensive data governance frameworks, policies, and standards across the government sector. Your primary mission will be to ensure adherence to regulatory requirements, drive the establishment of performance management KPIs, and facilitate seamless data exchange among various entities.Key Responsibilities• Lead the design and ongoing refinement of government-wide data governance frameworks, encompassing policies and standards.• Set, assess, and ensure compliance with data governance policies and standards through systematic monitoring, audits, and performance evaluation methods.• Oversee the development, implementation, and management of data performance indices to improve data quality, sharing, and management skills across agencies.• Direct the entire KPI measurement cycle, covering data collection, validation, scoring, and quality assurance.• Govern the comprehensive data information model, ensuring the integrity of enterprise data architecture and essential data domains.• Manage the central data catalogue, metadata, and reference data, guaranteeing clarity in ownership and resolving inter-agency data conflicts.• Foster a culture of collaborative data sharing by engaging with government entities and promoting data sharing platforms.• Organize and operationalize governance bodies (e.g., Data Committees, Working Groups) to ensure effective oversight and alignment.• Provide strategic guidance on data-related risks and integrate these considerations into enterprise risk management practices.• Collaborate with senior stakeholders to align governance objectives with strategic and data transformation initiatives.• Drive continuous improvements in the governance team's practices and performance.

As the Head of Enterprise Data Platforms, you will spearhead the strategic design, development, and governance of the bank's enterprise data ecosystems. Your leadership will be essential in establishing a robust, scalable, and secure data architecture that facilitates data-driven decision-making and supports advanced analytics, artificial intelligence, and innovative initiatives. This role is crucial in driving the bank's digital transformation, delivering real-time insights, and ensuring compliance with regulatory standards across all business units.Key Responsibilities:Formulate and implement the enterprise data platform strategy, aligning closely with the bank’s digital and AI objectives.Lead the creation of a modern, cloud-based data architecture, including data lakehouses and data fabrics.Drive the simplification of the data estate by phasing out outdated and non-scalable platforms and tools.Oversee the integration of diverse structured and unstructured data sources across the organization.Ensure optimal performance, availability, and scalability of data platforms.Establish and maintain data governance and management practices in collaboration with the Data Governance unit.Work alongside data science, analytics, and business operations teams to promote self-service data access and advanced analytical capabilities.Champion the adoption of DevOps and DataOps methodologies for enhanced automation and continuous delivery.Manage relationships with external vendors and assess emerging technologies for platform improvements.Maintain adherence to regulatory requirements and internal audit standards.Lead, mentor, and cultivate a high-performing team comprising data engineers, architects, and platform specialists.Oversee the data platform budget, ensuring cost-effectiveness.Report on platform performance, usage metrics, and value delivery to executive leadership.Foster a culture of innovation and continuous improvement within the data function.Represent the bank at industry forums and contribute to thought leadership in data platform strategy.

Join Aldar Properties as a Senior Data Scientist Associate and play a pivotal role in driving data-driven decision-making across our organization. You will be responsible for analyzing complex datasets, developing predictive models, and providing actionable insights to enhance business performance.Your expertise in data science will allow you to collaborate with cross-functional teams, leveraging advanced statistical methods and machine learning techniques to solve challenging business problems.

As the Director of Customer Data and Insights at Etihad Airways, you will play a pivotal role in shaping our customer engagement strategies. You will be responsible for leveraging data analytics to gain valuable insights into customer behavior, preferences, and trends. Your expertise will drive initiatives that enhance customer experiences, improve retention rates, and increase overall satisfaction.We are seeking a visionary leader who can effectively manage a team of data analysts and collaborate with cross-functional departments to implement data-driven solutions. You will be key in developing strategies that align with our business goals and promote a culture of data literacy across the organization.

Overall ObjectivesThe Principal Lead for Data Platforms Operations is pivotal in ensuring the consistent availability, reliability, and optimal performance of enterprise data platforms. This role encompasses managing daily production operations, facilitating regular service reviews with various business lines, and overseeing incident and problem management initiatives. The ideal candidate will serve as a vital link between technical teams and business stakeholders, driving operational excellence and fostering continuous improvement.Role-Specific Responsibilities- Guarantee high availability and performance of data platforms across both on-premise and cloud environments.- Conduct regular service review meetings with business lines to address incidents, challenges, and service performance metrics.- Lead incident and problem management processes, including root cause analysis and tracking of resolutions.- Collaborate with infrastructure, Data Platforms, and Data Engineering teams to troubleshoot operational issues.- Implement and uphold operational best practices, focusing on change management and release governance.- Assist with audit and compliance requirements related to production operations.- Champion continuous improvement initiatives to enhance platform stability and service quality.- Provide leadership and mentorship to members of the production support team.General Functional Responsibilities- Promote ongoing enhancements in production process frameworks.- Foster strong engagement with the wider bank’s service management teams to achieve operational and process improvement objectives.

Join Etihad Airways as a Data Analytics Delivery Manager, where you will lead our analytics initiatives, ensuring data-driven decision-making across the organization. You will oversee the delivery of analytics projects, collaborate with cross-functional teams, and drive insights that enhance operational efficiency and customer experience. This role requires a strategic thinker with a passion for data and a proven track record in analytics.

Join Egis Group as a Data Analyst, where your analytical skills will contribute to impactful projects that drive data-driven decisions. As a key member of our team, you will collect, process, and analyze data to provide actionable insights. This role is specifically open to UAE Nationals, promoting local talent in a global organization.

Join Etihad Airways as the Manager of HR Data, Reporting & Analytics, where you will lead the charge in transforming data into actionable insights that drive strategic HR initiatives. This pivotal role involves overseeing the collection, analysis, and reporting of HR metrics, ensuring alignment with our organizational goals. You will collaborate with various departments to enhance workforce planning, optimize talent management, and improve overall employee engagement.

Join a Transformative CompanyAt Palantir, we are at the forefront of developing innovative software that revolutionizes data-driven decision-making and operational efficiency. Our platforms empower our partners to tackle some of the world's most pressing challenges, from accelerating drug discovery to predicting supply chain disruptions and reuniting families with missing children.Position OverviewAs a Forward Deployed Software Engineer (FDSE), you will engage directly with clients to grasp their most critical challenges and devise impactful solutions that leverage data. Our clients depend on Palantir’s technologies for essential operations, often beginning with broad inquiries like, “What causes our flight delays?” or “How can we enhance our detection of money laundering?” In this role, you will harness your analytical skills, creativity, and technical expertise to assist organizations in utilizing their data for meaningful change. You will gain invaluable insights and contribute to significant sectors and institutions globally.In your capacity as an FDSE, your responsibilities will mirror those of a startup CTO: collaborating with small teams under minimal supervision and overseeing the complete execution of high-stakes projects. Your daily activities may include discussing system architecture with fellow engineers, managing large-scale data, coding tailored web applications, engaging with customer executives, or strategizing for your team’s initiatives.Whether you aim to become an entrepreneur or an engineering leader, Palantir offers an unparalleled environment with exceptional colleagues to nurture your growth. You will learn to dissect complex problems and comprehend the implications of various solutions. You will explore new technologies and programming languages, and even contribute to their development. You will operate independently while making impactful decisions within a supportive and challenging community that fosters your professional development.

Job Title: AWS Lakehouse Platform EngineerLocation: UAE – Abu Dhabi or DubaiEngagement: Full-time (On-site)Contract Duration: 3 to 6 months with potential extensionsStart Date: February 2026Join Riverflex as we collaborate with a prestigious financial institution in the UAE to develop a groundbreaking AWS data platform through a strategic Proof of Concept. We are on the lookout for a dedicated Platform Engineer who will take ownership of the PoC from inception to completion, crafting the reference architecture and establishing the necessary standards and guidelines for future data platform development.This role transcends data engineering; it focuses on platform ownership, architectural governance, and ensuring long-term operability. As the go-to authority on data platforms, you will work closely with the partner's Data Lead while being integrated into the on-site platform engineering team to ensure a robust, scalable foundation that meets enterprise-grade analytics and AI future use cases.

Join our team at Etihad Airways as a Data Scientist, where you will leverage data analytics to drive decision-making and enhance operational efficiency. You will work closely with cross-functional teams to analyze complex datasets and develop predictive models that support our business objectives. If you have a passion for data and innovation, this is the perfect opportunity for you.