data scientist Jobs in Abu Dhabi United Arab Emirates

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data analyst Jobs in Abu Dhabi United Arab Emirates

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data science senior manager

Farah Experiences

<div>Join Us at Miral Experiences
At Miral Experiences , we don&acirc;&euro;&trade;t just create jobs &acirc;&euro;&rdquo; we create extraordinary moments . As part of the visionary Miral Group , we bring to life some of the world&acirc;&euro;&trade;s most iconic attractions, including Ferrari World Abu Dhabi , Warner Bros. World Abu Dhabi , Yas Waterworld , and SeaWorld Yas Island .
We are passionate about delivering unforgettable guest experiences and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
If you're looking to be part of something bigger &acirc;&euro;&rdquo; where your work directly contributes to memorable experiences for millions &acirc;&euro;&rdquo; then Miral Experiences is the place for you .
About the Role
Are you a data visionary ready to lead the charge in transforming business decisions through AI and advanced analytics? At Miral, we&acirc;&euro;&trade;re building the future of leisure and entertainment &acirc;&euro;&rdquo; and data is at the heart of it. As our Data Science Senior Manager , you&acirc;&euro;&trade;ll drive high-impact projects, mentor a brilliant team, and deploy cutting-edge solutions in our cloud-first ecosystem.
What You'll Do
<ul><li>Lead end-to-end data science projects &acirc;&euro;&rdquo; from ideation to deployment &acirc;&euro;&rdquo; using ML, causal inference, and time-series analysis.
</li><li>Design and implement models that uncover trends, optimize performance, and unlock new revenue opportunities.
</li><li>Collaborate with business leaders to turn insights into action and shape data-driven strategies.
</li><li>Coach and mentor data scientists, building a culture of innovation and excellence.
</li><li>Work closely with data engineering and intelligence teams to operationalize solutions in Azure and Snowflake.
</li><li>Advocate for smarter data structures and analytics platforms to future-proof our tech stack.
</li></ul>What You Bring
Education &amp; Experience
<ul><li>Master&acirc;&euro;&trade;s in Data Science, Applied Math, or related field (PhD is a plus).
</li><li>8+ years of hands-on experience in data science, analytics, or AI.
</li></ul>Technical Skills
<ul><li>Expert in Python, R, SQL, and distributed databases (Snowflake, HQL).
</li><li>Deep knowledge of ML techniques (clustering, neural nets, decision trees).
</li><li>Proficient in Azure tools: DataBricks, AzureML, ADF, ADLS.
</li><li>Strong grasp of statistical modeling, hypothesis testing, and causal analysis.
</li><li>Familiarity with Agentic AI platforms (n8n, Agent Bricks) is a bonus.
</li></ul>Soft Skills
<ul><li>Strategic thinker with a product mindset.
</li><li>Excellent communicator and cross-functional collaborator.
</li><li>Proven leadership in diverse, agile teams.
</li></ul>Ready to Make an Impact?
If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &acirc;&euro;&rdquo; we&acirc;&euro;&trade;d love to hear from you. Apply now and take the next step in your career with Miral Experiences &acirc;&euro;&rdquo; where your work helps shape unforgettable moments every day.</div>

Data Science Senior Manager

Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

Abu Dhabi Capital Group

<div>
 
 
 About Abu Dhabi Capital Group
 
 
 
 Abu Dhabi Capital Group (ADCG) is a leading private investment firm with a globally diversified portfolio across
 
 capital markets, alternative investments, private equity (co-investments, directs, and funds), and real estate (private equity and income-yielding assets)
 
 . We combine the strength of a long-term investment horizon with the flexibility and entrepreneurial spirit of a family office.
 
 
 
 
 
 
 The Role
 
 
 
 We are seeking an
 
 Investment Risk Analyst (Associate to Senior Associate level)
 
 to join our Risk team, working closely with the Head of Risk. This is a unique opportunity to gain exposure across
 
 multi-asset class investments
 
 while contributing to the enhancement of ADCG&rsquo;s risk management framework and oversight processes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Monitor and analyse portfolio risks across public markets, private equity, alternatives, and real estate.
 </li>
 <li>
 Conduct stress tests, scenario analysis, liquidity reviews, and concentration risk assessments.
 </li>
 <li>
 Prepare risk dashboards and reports for the Head of Risk, CIO, and Investment Committee.
 </li>
 <li>
 Support the risk review process for new investments, including co-investments and direct deals.
 </li>
 <li>
 Contribute to the development of risk policies, frameworks, and governance standards.
 </li>
 <li>
 Perform
 
 strategic asset allocation analysis
 
 , supporting decisions on capital deployment across asset classes in line with ADCG&rsquo;s investment objectives.
 </li>
 <li>
 Conduct
 
 HoldCo-level portfolio analysis
 
 , assessing aggregate exposures, diversification, and performance attribution across the Group&rsquo;s global investments.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 3&ndash;7 years of experience in
 
 investment risk, portfolio risk, or investment analysis
 
 , ideally within an asset manager, private equity firm, investment bank, or family office.
 </li>
 <li>
 Strong academic background (Finance, Economics, Engineering, or related discipline). CFA/FRM or progress toward these qualifications is advantageous.
 </li>
 <li>
 Advanced Excel skills; familiarity with Python, R, SQL
 </li>
 <li>
 Apply
 
 data science and machine learning techniques
 
 to:
 </li>
 <li>
 Enhance risk modelling and early warning signals (e.g., anomaly detection, predictive analytics).
 </li>
 <li>
 Automate data pipelines and portfolio monitoring tools.
 </li>
 <li>
 Extract insights from unstructured data (e.g., news, reports, alternative data).
 </li>
 <li>
 Knowledge of Barra, PORT, Aladdin, or other Risk models and risk systems is a must
 </li>
 <li>
 Factor risk decomposition and exposure analysis
 </li>
 <li>
 Portfolio optimization and scenario modelling
 </li>
 <li>
 Performance and risk attribution
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to present complex ideas clearly.
 </li>
 <li>
 Self-starter with integrity, attention to detail, and the ability to thrive in a
 
 fast-paced, entrepreneurial environment
 
 .
 </li>
 </ul>
 
 
</div>

Investment Risk Analyst

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a BI Developer, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

BI Developer (Supply Analytics, Bangkok-based, Relocation provided)

Durlston Partners

<div></div><div><div><div><div>Data Engineering, Data Science
</div><div>$300,000
</div><div>Abu Dhabi</div><div> 
</div></div></div><div><div><div>Senior Data Engineer &ndash; Quantitative Trading Firm &ndash; $300,000 (tax-free) &ndash; Abu Dhabi, UAE (full relocation assistance provided)

Durlston Partners is partnering with a leading Quant Trading firm that leverages advanced data and technology to execute market-beating strategies. They are seeking a Data Engineer to design, build, and scale the data infrastructure powering research and trading systems, seamless access to high-quality, low-latency data in a high-performance environment.

Responsibilities
<ul>
<li>Build and maintain real-time and batch data pipelines for market and research data</li>
<li>Ensure low-latency, high-quality data access for quant researchers and trading systems</li>
<li>Collaborate with quants to integrate datasets and optimize processing.</li>
</ul>
Requirements
<ul>
<li>3+ years of experience as a Data Engineer</li>
<li>Experience in Big Tech, Quant Trading, Hedge Funds, or Crypto</li>
<li>Proficient in Python</li>
<li>Experience with cloud infrastructure (AWS/Azure)</li>
</ul>
Why Join
<ul>
<li>Work with top quants on cutting-edge trading data infrastructure</li>
<li>High-impact, technically challenging environment with a collaborative culture</li>
<li>Competitive compensation with performance-based bonuses</li>
<li>Great benefits and full relocation assistance</li></ul></div></div></div></div>

Senior Data Engineer – UAE

Jobworld Management Consultancy LLC

<div>
 
 Hiring
 
 Program Manager - Abu Dhabi - Permanent job
 
 
 
 
 
 
 
 Europe Projects Experience is Must
 
 .
 
 
 
 
 
 
 Required Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s degree in Information Technology, Computer Science, Engineering, or related field.
 
 
 &bull;
 
 10+ years of experience in IT project and program management, with at least 3&ndash;5 years managing large enterprise programs.
 
 
 
 &bull; Strong understanding of IT domains including infrastructure, software development, enterprise applications, and cloud technologies.
 
 
 &bull; Proficient in program management methodologies (Agile, Waterfall, Hybrid) and tools such as Microsoft Project, JIRA, Confluence, and Smartsheet.
 
 
 &bull; PMP and/or PgMP certification required.
 
 
 &bull; Demonstrated ability to manage multi-million dollar budgets and globally distributed teams.
 
 
 ________________________________________
 
 
 
 Preferred Qualifications:
 
 
 
 &bull; Master&rsquo;s degree or MBA.
 
 
 &bull; Agile certifications (e.g., SAFe Program Consultant, PMI-ACP).
 
 
 &bull; Experience in digital transformation, cloud migration, ERP implementation, or cybersecurity programs.
 
 
 &bull; Prior experience in regulated industries such as healthcare, finance, or government.
 
 
 ________________________________________
 
 
 
 Key Competencies:
 
 
 
 &bull; Strategic thinking with strong business acumen.
 
 
 &bull; Exceptional communication, negotiation, and presentation skills.
 
 
 &bull; Ability to manage ambiguity and drive clarity in complex environments.
 
 
 &bull; Strong leadership and team-building capabilities.
 
 
 &bull; Adept at stakeholder engagement across business and technical domains.
 
 
 1.5 Senior Technical Delivery Manager
 
 
 
 
 
 follow our linkedin Page for more global Jobs:
 
 
 https://www.linkedin.com/company/jobworldme/?viewAsMember=true
 
</div>

Program Manager

Explore 1286+ Data science senior manager in Abu Dhabi United Arab Emirates this November. Find roles across top companies and apply now to boost your career.