Technology

Involved have partnered with a leading insurance company in Abu Dhabi to hire a Head of AI/ML to drive innovation, enhance data-driven decision-making, and lead AI and analytics initiatives. This role is essential for shaping the company's AI strategy, developing scalable solutions, and integrating business intelligence capabilities to optimize operations and customer insights. About the role:Provide technical leadership and strategic direction across AI, ML, and business intelligence functions.Architect and build a full ML platform and infrastructure to ensure scalability and operational efficiency.Develop and implement advanced analytics models to enhance business decision-making, customer segmentation, fraud detection, and risk assessment.Lead a team of AI/ML engineers, MLOps, and data engineers to build, deploy, and maintain end-to-end ML models.Oversee data integration, feature engineering, and the development of feature stores to support AI-driven solutions.Collaborate with business leaders to translate company objectives into actionable AI and BI solutions.Define best practices for AI/ML development, deployment, and lifecycle management.Leverage predictive analytics, statistical modeling, and machine learning techniques to optimize pricing strategies and customer engagement.Drive innovation in areas such as NLP, computer vision, generative AI, and reinforcement learning.Ensure compliance with industry regulations and data governance standards. About You:5+ years of hands-on experience designing and implementing ML models and analytics solutions at scale, ideally in the Insurance field.Strong background in AI/ML fundamentals, data science, and software engineering.Expertise in business intelligence tools (Power BI, Tableau, Looker) and data warehousing.Proven experience building AI-driven solutions for financial services, insurance, or similar industries.Commercial experience in cloud-based AI architecture (AWS, Azure, or GCP).Proficiency in programming languages such as Python, R, or Scala.Advanced knowledge of statistical modeling, predictive analytics, and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with feature stores, AutoML, and MLOps practices.Strong leadership skills with the ability to mentor teams and drive a data-driven culture.PhD or Master's in Machine Learning, Data Science, Computer Science, or related field preferred.

Involved has partnered with a FinTech in Riyadh to hire a Head of AI/ML, you will be responsible for providing technical leadership and guidance across the Engineering team and AI product line.About the role:Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organizationArchitect a full ML Platform and build out the infrastructure to support scalabilityProvide collaborative leadership to build out the AI function, MLEs, MLOps and Data EngineeringCollaborate with stakeholders and project managers to turn business goals into technical solutionsDefine best AI/ML driven practices and AI lifecycleOversee model training and optimizationCoach and mentor the team as we build scalable data and machine learning solutionsBuild and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategiesInform and deliver on ambitious product roadmaps to accelerate growth About you:8+ years of hands-on experience designing and implementing elegant machine learning models at internet scaleHigh level experience in AI/ML fundamentalsStrong background in softwareUp-to-date knowledge of AI/ML technologies and their trends, including various libraries and toolsBuilt feature stores and auto ML capabilitiesEnd to end ML work and deploying of modelsKnowledge of how full stack SaaS products work, scale and performCommercial experience building architecture on AWSExpertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learningProficient in deep programming to implement solutions in productionAdvanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science)

Our client is an exciting FinTech, moving into Series C funding. They have developed a wealth management platform, a one-stop shop to manage your personal finance and investments. They are hiring a Frontend Engineer to join their team, that's ambitious and dedicated to building a great company, working on frontend features and UI/UX with their product and design team, as well as the backend that supports it.About the role:Own and deliver software projects on time by proactively helping elaborate requirements and project scopeBuild frontend features on both the web app and React Native mobile app that allow users to intuitively understand what they're seeing, the actions they are taking, and the result of these actions, using simple and intuitive UI on load, user action, and during error/event handlingConceptualizing, designing, and implementing features for web/mobile applicationsApply strong attention to detail to make sure UI is crisp, typo-free, glitch-free and highly usableHelp develop frontend codebase to keep code readable, extendible, and well organizedWrite code that is robust, maintainable, and fails gracefullyContinuously learn and apply new practices and technologies, and share your learnings with the team About you:You have at least 4 years of experience working on systems that went into productionStrong experience with React Native (3+ years) and React in a production setting with a commercial user baseAbility to write code/algorithms that are functional and bug-freeExcellent problem-solving skillsExcellent teamwork as well as written and communication skills, with the ability to communicate technical concepts and decisions to both technical and non-technical team membersPassion for the work, drive to experiment, learn new tech, try new solutions, always looking for ways to improve and growDemonstrated ownership in leading/participating in a project that went from infancy to productionAbility to execute by making decisions around trade-offs of simplicity, readability, performance, and speed-of-implementation Why work there?Remote-first and flexible work environmentDiverse, driven and supportive team with a positive work atmosphereA culture of growth - being mentored, coached and supported to grow in your careerLearning and development budgets

The Head of IT Outsourcing plays a critical role in managing external vendors to ensure seamless IT operations across both infrastructure and applications. Beyond selecting vendors and enforcing SLAs, they are responsible for:About the role:Contract negotiations & cost optimisation - Ensuring outsourcing agreements deliver value and efficiency.Risk management & regulatory compliance - Maintaining alignment with GDPR, ISO 27001, and other standards.Performance monitoring & service improvement - Driving continuous enhancements and holding vendors accountable.Incident resolution & business continuity - Ensuring resilience and minimising disruptions.Multi-vendor management - Coordinating service providers for smooth IT operations.By optimising budgets, fostering innovation, and maintaining strategic alignment, they enable scalability and efficiency while leveraging external expertise. About you:Background in outsourcing/managed service providers (MSPs), previously focused on service delivery.Now working client-side, managing vendors at a senior level.10-15 years of experience in IT outsourcing, vendor management, and service optimisation.

Our client, a leading AI consultancy, is hiring Head of AI to spearhead their AI strategy, research, and implementation. This is a unique opportunity to shape the future of AI and drive cutting-edge innovations. Our client specialises in helping businesses unlock the power of AI to drive transformation and create lasting impact. Their team of experts collaborates with regional clients across multiple industries, delivering AI-driven solutions that optimise operations, enhance decision-making, and unlock new revenue streams.About the role: As the Head of AI, you will be at the forefront of the company's AI initiatives, leading a team of data scientists, engineers, and researchers. You will be responsible for developing AI strategies, overseeing projects, and ensuring the successful deployment of AI solutions for clients.Key ResponsibilitiesDefine and drive the company's AI vision and strategy.Lead a multidisciplinary team of AI researchers, data scientists, and engineers.Develop and oversee AI projects, ensuring innovation and real-world impact.Stay ahead of industry trends and advancements to keep the company at the cutting edge.Collaborate with clients to understand their business needs and design tailored AI solutions.Ensure ethical and responsible AI development practices.Represent the company at conferences, industry events, and in thought leadership initiatives. About you:Proven experience in AI leadership roles, preferably within a consultancy or enterprise setting.Strong technical background in machine learning, deep learning, and data science.Experience managing AI projects from ideation to deployment.Ability to communicate complex AI concepts to both technical and non-technical stakeholders.A passion for ethical AI and driving positive business impact.MSc/PhD in AI, Computer Science, Data Science, or a related field

A leading diversified conglomerate is looking to build out a new architecture team and need someone to come in and lead the team of initially 5 Architects each covering a specific domain. The role will be responsible for defining and overseeing an organisation's enterprise architecture (EA) strategy. This role ensures that technology, business processes, and systems align with the company's strategic objectives. About the role:Define and lead the enterprise architecture strategy to align IT systems with business goals.Develop and enforce architecture standards, frameworks (e.g., TOGAF, Zachman), and best practices.Establish governance processes to ensure compliance with the architectural visionOversee the design and implementation of enterprise-wide technology solutions.Evaluate and recommend emerging technologies and innovations (e.g., cloud, AI, IoT, blockchain).Lead initiatives to modernize legacy systems and adopt digital transformationCollaborate with C-suite executives and business leaders to understand long-term objectives.Translate business strategies into IT roadmaps and architectural blueprints.Identify opportunities to use technology for competitive advantage and operational efficiency. About you:In-depth knowledge of enterprise architecture frameworks (e.g., TOGAF, ArchiMate).Expertise in cloud platforms (AWS, Azure, Google Cloud), microservices, DevOps, and CI/CD.Understanding of enterprise systems (ERP, CRM, HCM) and data architecture.Strong understanding of business operations, industry trends, and market dynamics.Ability to align IT strategy with organisational goals and deliver business value.Proven ability to influence C-suite stakeholders and drive organizational change.Strong leadership skills to manage diverse teams and foster cross-department collaboration.Excellent communication and presentation skills to convey complex concepts clearly.Will suit candidates with coming from a Retail, FMCG, Manufacturing, Pharma background. Or anything that is direct to consumer.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

Our client, a leading name in the insurance sector, is hiring a Data Engineer to drive their data innovation efforts. About the role: As a Data Engineer, you'll design and optimize data pipelines and systems to power business objectives. Your work will enable smarter decision-making and enhance efficiency across the organization.Build and maintain robust data pipelines to process and integrate diverse data sources.Collaborate with teams to ensure reliable datasets for insights and analytics.Implement best practices for data quality, performance, and system monitoring.Optimize cloud-based data platforms and support data governance efforts. About you:Degree in Computer Science, Engineering, or a related field. Advanced certifications are a plus.Experience designing data pipelines and architectures.Proficiency in Python, SQL, or similar programming languages.Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.Familiarity with big data tools such as Spark or Hadoop.Strong problem-solving skills and a team-focused attitude.

Involved have partnered with a leading insurance company in Abu Dhabi to hire a Head of AI/ML to drive innovation, enhance data-driven decision-making, and lead AI and analytics initiatives. This role is essential for shaping the company's AI strategy, developing scalable solutions, and integrating business intelligence capabilities to optimize operations and customer insights. About the role:Provide technical leadership and strategic direction across AI, ML, and business intelligence functions.Architect and build a full ML platform and infrastructure to ensure scalability and operational efficiency.Develop and implement advanced analytics models to enhance business decision-making, customer segmentation, fraud detection, and risk assessment.Lead a team of AI/ML engineers, MLOps, and data engineers to build, deploy, and maintain end-to-end ML models.Oversee data integration, feature engineering, and the development of feature stores to support AI-driven solutions.Collaborate with business leaders to translate company objectives into actionable AI and BI solutions.Define best practices for AI/ML development, deployment, and lifecycle management.Leverage predictive analytics, statistical modeling, and machine learning techniques to optimize pricing strategies and customer engagement.Drive innovation in areas such as NLP, computer vision, generative AI, and reinforcement learning.Ensure compliance with industry regulations and data governance standards. About You:5+ years of hands-on experience designing and implementing ML models and analytics solutions at scale, ideally in the Insurance field.Strong background in AI/ML fundamentals, data science, and software engineering.Expertise in business intelligence tools (Power BI, Tableau, Looker) and data warehousing.Proven experience building AI-driven solutions for financial services, insurance, or similar industries.Commercial experience in cloud-based AI architecture (AWS, Azure, or GCP).Proficiency in programming languages such as Python, R, or Scala.Advanced knowledge of statistical modeling, predictive analytics, and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with feature stores, AutoML, and MLOps practices.Strong leadership skills with the ability to mentor teams and drive a data-driven culture.PhD or Master's in Machine Learning, Data Science, Computer Science, or related field preferred.

Involved has partnered with a FinTech in Riyadh to hire a Head of AI/ML, you will be responsible for providing technical leadership and guidance across the Engineering team and AI product line.About the role:Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organizationArchitect a full ML Platform and build out the infrastructure to support scalabilityProvide collaborative leadership to build out the AI function, MLEs, MLOps and Data EngineeringCollaborate with stakeholders and project managers to turn business goals into technical solutionsDefine best AI/ML driven practices and AI lifecycleOversee model training and optimizationCoach and mentor the team as we build scalable data and machine learning solutionsBuild and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategiesInform and deliver on ambitious product roadmaps to accelerate growth About you:8+ years of hands-on experience designing and implementing elegant machine learning models at internet scaleHigh level experience in AI/ML fundamentalsStrong background in softwareUp-to-date knowledge of AI/ML technologies and their trends, including various libraries and toolsBuilt feature stores and auto ML capabilitiesEnd to end ML work and deploying of modelsKnowledge of how full stack SaaS products work, scale and performCommercial experience building architecture on AWSExpertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learningProficient in deep programming to implement solutions in productionAdvanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science)

Our client is an exciting FinTech, moving into Series C funding. They have developed a wealth management platform, a one-stop shop to manage your personal finance and investments. They are hiring a Frontend Engineer to join their team, that's ambitious and dedicated to building a great company, working on frontend features and UI/UX with their product and design team, as well as the backend that supports it.About the role:Own and deliver software projects on time by proactively helping elaborate requirements and project scopeBuild frontend features on both the web app and React Native mobile app that allow users to intuitively understand what they're seeing, the actions they are taking, and the result of these actions, using simple and intuitive UI on load, user action, and during error/event handlingConceptualizing, designing, and implementing features for web/mobile applicationsApply strong attention to detail to make sure UI is crisp, typo-free, glitch-free and highly usableHelp develop frontend codebase to keep code readable, extendible, and well organizedWrite code that is robust, maintainable, and fails gracefullyContinuously learn and apply new practices and technologies, and share your learnings with the team About you:You have at least 4 years of experience working on systems that went into productionStrong experience with React Native (3+ years) and React in a production setting with a commercial user baseAbility to write code/algorithms that are functional and bug-freeExcellent problem-solving skillsExcellent teamwork as well as written and communication skills, with the ability to communicate technical concepts and decisions to both technical and non-technical team membersPassion for the work, drive to experiment, learn new tech, try new solutions, always looking for ways to improve and growDemonstrated ownership in leading/participating in a project that went from infancy to productionAbility to execute by making decisions around trade-offs of simplicity, readability, performance, and speed-of-implementation Why work there?Remote-first and flexible work environmentDiverse, driven and supportive team with a positive work atmosphereA culture of growth - being mentored, coached and supported to grow in your careerLearning and development budgets

The Head of IT Outsourcing plays a critical role in managing external vendors to ensure seamless IT operations across both infrastructure and applications. Beyond selecting vendors and enforcing SLAs, they are responsible for:About the role:Contract negotiations & cost optimisation - Ensuring outsourcing agreements deliver value and efficiency.Risk management & regulatory compliance - Maintaining alignment with GDPR, ISO 27001, and other standards.Performance monitoring & service improvement - Driving continuous enhancements and holding vendors accountable.Incident resolution & business continuity - Ensuring resilience and minimising disruptions.Multi-vendor management - Coordinating service providers for smooth IT operations.By optimising budgets, fostering innovation, and maintaining strategic alignment, they enable scalability and efficiency while leveraging external expertise. About you:Background in outsourcing/managed service providers (MSPs), previously focused on service delivery.Now working client-side, managing vendors at a senior level.10-15 years of experience in IT outsourcing, vendor management, and service optimisation.

Our client, a leading AI consultancy, is hiring Head of AI to spearhead their AI strategy, research, and implementation. This is a unique opportunity to shape the future of AI and drive cutting-edge innovations. Our client specialises in helping businesses unlock the power of AI to drive transformation and create lasting impact. Their team of experts collaborates with regional clients across multiple industries, delivering AI-driven solutions that optimise operations, enhance decision-making, and unlock new revenue streams.About the role: As the Head of AI, you will be at the forefront of the company's AI initiatives, leading a team of data scientists, engineers, and researchers. You will be responsible for developing AI strategies, overseeing projects, and ensuring the successful deployment of AI solutions for clients.Key ResponsibilitiesDefine and drive the company's AI vision and strategy.Lead a multidisciplinary team of AI researchers, data scientists, and engineers.Develop and oversee AI projects, ensuring innovation and real-world impact.Stay ahead of industry trends and advancements to keep the company at the cutting edge.Collaborate with clients to understand their business needs and design tailored AI solutions.Ensure ethical and responsible AI development practices.Represent the company at conferences, industry events, and in thought leadership initiatives. About you:Proven experience in AI leadership roles, preferably within a consultancy or enterprise setting.Strong technical background in machine learning, deep learning, and data science.Experience managing AI projects from ideation to deployment.Ability to communicate complex AI concepts to both technical and non-technical stakeholders.A passion for ethical AI and driving positive business impact.MSc/PhD in AI, Computer Science, Data Science, or a related field

A leading diversified conglomerate is looking to build out a new architecture team and need someone to come in and lead the team of initially 5 Architects each covering a specific domain. The role will be responsible for defining and overseeing an organisation's enterprise architecture (EA) strategy. This role ensures that technology, business processes, and systems align with the company's strategic objectives. About the role:Define and lead the enterprise architecture strategy to align IT systems with business goals.Develop and enforce architecture standards, frameworks (e.g., TOGAF, Zachman), and best practices.Establish governance processes to ensure compliance with the architectural visionOversee the design and implementation of enterprise-wide technology solutions.Evaluate and recommend emerging technologies and innovations (e.g., cloud, AI, IoT, blockchain).Lead initiatives to modernize legacy systems and adopt digital transformationCollaborate with C-suite executives and business leaders to understand long-term objectives.Translate business strategies into IT roadmaps and architectural blueprints.Identify opportunities to use technology for competitive advantage and operational efficiency. About you:In-depth knowledge of enterprise architecture frameworks (e.g., TOGAF, ArchiMate).Expertise in cloud platforms (AWS, Azure, Google Cloud), microservices, DevOps, and CI/CD.Understanding of enterprise systems (ERP, CRM, HCM) and data architecture.Strong understanding of business operations, industry trends, and market dynamics.Ability to align IT strategy with organisational goals and deliver business value.Proven ability to influence C-suite stakeholders and drive organizational change.Strong leadership skills to manage diverse teams and foster cross-department collaboration.Excellent communication and presentation skills to convey complex concepts clearly.Will suit candidates with coming from a Retail, FMCG, Manufacturing, Pharma background. Or anything that is direct to consumer.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

We are hiring an AI/ML Engineer to join our client in Dubai. The ideal candidate will have expertise in developing, deploying, and optimising machine learning models, particularly large language models (LLMs) and natural language processing (NLP) systems. This role offers the opportunity to work on challenging business problems and drive impactful solutions using state-of-the-art AI technologies.About the role:Design, develop, and deploy machine learning models to address complex business challenges.Build and fine-tune large language models (LLMs) for various NLP applications.Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.Research and implement the latest advancements in AI/ML, particularly in the areas of NLP and LLMs.Optimize model performance for scalability, efficiency, and accuracy.Deploy and maintain AI solutions in production environments.Analyse and interpret data to generate actionable insights and inform decision-making.Stay up-to-date with industry trends, tools, and technologies in AI/ML. About you:Familiarity with solving real-world business problems using AI/ML solutions.Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.Proven experience in developing and deploying AI/ML models, with a focus on NLP and LLMs.Proficiency in programming languages such as Python, along with ML libraries/frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Strong understanding of NLP techniques, including tokenization, embeddings, language modeling, and text classification.Experience with data preprocessing, feature engineering, and model evaluation.Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Strong problem-solving skills and the ability to work independently and collaboratively.Excellent communication skills to convey technical concepts to non-technical stakeholders.

Our client, a leading name in the insurance sector, is hiring a Data Engineer to drive their data innovation efforts. About the role: As a Data Engineer, you'll design and optimize data pipelines and systems to power business objectives. Your work will enable smarter decision-making and enhance efficiency across the organization.Build and maintain robust data pipelines to process and integrate diverse data sources.Collaborate with teams to ensure reliable datasets for insights and analytics.Implement best practices for data quality, performance, and system monitoring.Optimize cloud-based data platforms and support data governance efforts. About you:Degree in Computer Science, Engineering, or a related field. Advanced certifications are a plus.Experience designing data pipelines and architectures.Proficiency in Python, SQL, or similar programming languages.Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.Familiarity with big data tools such as Spark or Hadoop.Strong problem-solving skills and a team-focused attitude.