Airflow Jobs in Dubai.
All active Airflow roles based in Dubai.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
About Us
Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.
Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.
Your Role
We are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.
You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.
Your Responsibilities
Model Deployment & Scaling
- Productionise risk and fraud models developed by the DS team using robust, efficient, and maintainable architectures
- Design low-latency, high-availability APIs and pipelines for real-time model inference.
- Implement batch scoring systems for periodic risk assessments.=
MLOps & Infrastructure
- Build and maintain CI/CD pipelines for model deployment and monitoring.
- Set up automated feature engineering pipelines, leveraging feature stores.
- Ensure model governance: reproducibility, versioning, auditability, and compliance with regulatory requirements.
Model Monitoring & Maintenance
- Implement real-time and batch monitoring for data drift, concept drift, and model performance.
- Build automated retraining workflows and model rollback mechanisms.
Collaboration with Risk DS
- Work closely with risk data scientists to translate experimental code (Python, notebooks) into production-grade services.
- Advise DS on efficient model architectures for operational environments.
- Optimize feature computation for speed and scalability.
System Design & Integration
- Integrate models with credit underwriting, fraud detection, collections, and merchant risk systems.
- Collaborate with backend engineering to align on API contracts and system interfaces.
Your Expertise
- 6+ years of experience as an MLE, ML Engineer, Mlops Developer.
- Strong Python skills (including Pandas, NumPy, scikit-learn, PySpark, FastAPI/Flask).
- Proficiency in distributed computing frameworks (Spark, Ray) and workflow orchestration tools (Airflow, Prefect).
- Experience with MLOps tools (MLflow, SageMaker, Vertex AI, or similar).
- Strong understanding of model deployment in cloud environments (AWS/GCP/Azure).
- Solid knowledge of microservice architecture, containerization (Docker), and orchestration (Kubernetes).
- Proven track record of deploying and maintaining ML models in production at scale.
- Experience in building and integrating with real-time streaming systems (Kafka, Kinesis, Pub/Sub).
All qualified individuals are encouraged to apply.
Ready to apply?
Apply to Tamara
The Role:
Ziina is looking for a Senior Data Platform Engineer to join our team. This role is an exciting opportunity to build the foundations of our data platform from the ground up — the pipelines, warehouse, and tooling that will power decision-making, analytics, and future ML/AI capabilities across the company. We're at a major inflection point in our growth, and we're looking for the right person to shape how data is ingested, modeled, and consumed at Ziina as we scale.
As part of a small, agile team, our ideal candidate is a creative problem-solver with the vision to build from the ground up and the skill to own systems end-to-end. You'll thrive in our fast-paced environment by making sound tradeoffs and focusing on high-impact solutions. We're looking for someone who is as ambitious as we are to deliver high-quality products to our users. In short, we want owners who are ready to build big things with us.
As a Senior Data Platform Engineer at Ziina you will:
- Build and maintain scalable data pipelines and processing systems that ingest data from transactional databases, object storage, and external APIs
- Design and evolve our data warehouse architecture and data models to support analytics, reporting, and ML/AI use cases
- Improve the reliability, observability, and performance of our data systems
- Implement data quality checks and monitoring to ensure trusted, accurate data across the company
- Enable self-service data access and analytics so product, engineering, and business teams can make data-driven decisions independently
- Support the foundational capabilities that will power our ML and AI use cases as they grow
To succeed in this role, you likely:
- Bring 5+ years of experience in Data Engineering, Data Platform, or Analytics Engineering
- Have strong expertise building and maintaining data pipelines with orchestration tools like Dagster, Airflow, or Prefect, and writing ETL/ELT workflows in Python
- Are proficient with modern data warehouses (Snowflake, BigQuery, or Redshift) and transformation frameworks like dbt
- Have hands-on experience ingesting data from a mix of sources — PostgreSQL, S3, external APIs — supporting both transactional and event-driven use cases
- Are familiar with data quality, observability, and monitoring practices for production data systems
- Use the latest AI tools and technologies to boost your productivity
- Are based in, or open to relocating to, the UAE
What would amaze us
- Proven experience building data platforms at fintech or other high-scale, high-reliability companies
- A track record of designing data warehouse architectures and models that scaled cleanly as the company grew
- History of building self-service analytics tooling that meaningfully expanded who in the company could work with data
- Experience enabling ML/AI workloads on top of a data platform — feature stores, ML pipelines, or serving infrastructure
- Active engagement in the data community through open source contributions, conference speaking, or technical writing
Our tech stack:
The data platform is a core investment area at Ziina. Our current stack is:
- Snowflake as our data warehouse, with dbt for data transformation and modeling
- Dagster for orchestrating data pipelines, with Python for building ETL/ELT workflows
- Data ingestion from PostgreSQL, S3, and external APIs, supporting both transactional and event-driven use cases
- Metabase for analytics and internal reporting
The broader Ziina engineering stack that the data platform integrates with:
- Typescript, Node.js and Nest.js for our main application's backend
- GraphQL Federation for our client-facing APIs and Kafka for our inter-service communication
- PostgresSQL for consistent and durable storage, Redis for quick fetching, Elasticsearch for quick searching
- AWS for hosting our cloud infrastructure and Kubernetes for orchestrating our workloads
- Terraform for IaC, GitHub Actions for CI/CD
About Ziina
Ziina’s mission is to bring financial freedom to every person in the Middle East. We are building MENA’s consumer and SMB financial platform, starting with a peer-to-peer and merchant wallet. Our team have backgrounds from Apple, Uber, Stripe, Klarna, Revolut, Yandex, and Nubank. Ziina’s payments volumes have grown by 10x YoY for the last two years. The team have built a product that is beloved by the UAE and is the recipient of 8 international design awards, including the Red Dot Award and the UX Design Award. Our last round was a $22 million Series A from top-tier investors globally including Altos Ventures, Fintech Collective, Activant, Long Journey Ventures and Y Combinator. Our angel investors include early employees and executives at Revolut, Stripe, Venmo, Brex, Checkout.com, Notion, and Deel.
Join us in shaping the future of financial freedom. Every role here is an opportunity to make a real impact. Let’s build something that matters together.
Ready to apply?
Apply to ZiinaSenior Applied AI Engineer - Dubai
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About Snorkel
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.
Main Responsibilities
- Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
- Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
- Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
- Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
- Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
- Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
- Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
- Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
- Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
- Annual travel up to 25%.
Preferred Qualifications
- B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
- 5+ years of customer-facing experience in the design and implementation of AI/ML solutions.
- Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
- Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
- Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
- Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
All offers include base, variable and include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Locations
Dubai, United Arab Emirates
#LI-CG1
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Ready to apply?
Apply to Snorkel AIAbout Us
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors.
Role Overview
We are seeking a talented Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.
Key Responsibilities:
- Data Infrastructure & Governance:
- Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
- Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.
- Business Intelligence & Insights:
- Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
- Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
- Analyze user behavior and transaction patterns to drive growth strategies.
- Risk & Financial Analytics:
- Build analytics models for pricing optimization and financial planning.
- Create risk monitoring systems and fraud detection analytics to ensure platform security.
- Strategic Partnership & Team Leadership:
- Partner with leadership to provide data-driven insights for strategic decision-making.
- Build, manage, and mentor a high-performing team of analysts as the organization scales.
What we are looking for
Must-haves:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- 6+ years of experience in analytics or data science roles.
- Strong programming skills in Python and SQL.
- Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
- Proven experience building and maintaining large-scale data pipelines.
- Excellent communication skills with the ability to present complex data to non-technical stakeholders.
- Strong problem-solving skills and meticulous attention to detail.
What helps you stand out:
- A Master's degree in a relevant field.
- Experience in a fintech or financial services environment.
- Direct experience with crypto/blockchain analytics.
- Startup experience is highly preferred.
- Expertise with data visualization tools like Tableau or Looker.
What We Offer
- Competitive salary and benefits package.
- Equity in a rapidly growing company.
- Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
- Opportunity to make a significant impact on global financial infrastructure
- Collaborative work culture with emphasis on personal and professional growth.
We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Ready to apply?
Apply to OpenFX