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azure data (warehouse) engineer

data analyst expert Jobs in The Center For Smart Engineering Materials Dr Safiya Khalil Jobs In Abu Dhabi United Arab Emirates

data analyst expert

data scientist Jobs in The Center For Smart Engineering Materials Dr Safiya Khalil Jobs In Abu Dhabi United Arab Emirates

data scientist

data & ai analyst Jobs in The Center For Smart Engineering Materials Dr Safiya Khalil Jobs In Abu Dhabi United Arab Emirates

data & ai analyst

data analyst Jobs in The Center For Smart Engineering Materials Dr Safiya Khalil Jobs In Abu Dhabi United Arab Emirates

data analyst

data analytics engineer

Boskalis

<div><h3 class="jobSectionHeader"><b>How you can make your mark</b></h3><p>
As a Data Analytics Engineer, you will be part of the IT Data Services team, working closely with business users across various departments to help them gain actionable insights from their data and create value for Boskalis.</p><p>
You will support multiple projects by managing, analyzing, and reporting on data related to time writing, purchase orders, workforce planning, and more.</p><p><b>
Your work will combine both technical and strategic responsibilities:</b></p><ul><li>
Developing, optimizing, and maintaining interactive dashboards (primarily in Power BI) that drive informed decision-making.</li><li>
Assisting business content creators with guidance and best practices for BI analysis.</li><li>
Collaborating with stakeholders to define data needs, translate business questions into technical solutions.</li><li>
Managing the Power BI platform, including license administration, monitoring performance, and resolving operational issues.</li><li>
Contributing to the continuous improvement and long-term vision of the team in how we help our business to make data-driven decisions that deliver value.</li></ul><p><b>
Essential Requirements:</b></p><ul><li>
5+ years of proven experience in data analytics, BI consultancy and/or data engineering.</li><li>
Strong end-to-end Power BI skills &mdash; from requirements gathering, data modeling, and visualization to publishing reports and iterating based on feedback.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science or a related field.</li><li>
Proficiency in SQL for data selection and querying, with a solid understanding of ETL processes.</li><li>
Ability to translate business requirements into actionable dashboards and bridge communication between business and IT.</li><li>
Strong analytical and problem-solving abilities with keen attention to detail.</li><li>
Comfortable managing multiple projects in dynamic and multi-cultural environments.</li></ul><p><b>
Preferred:</b></p><ul><li>
Advanced data analytics and performance optimization techniques.</li><li>
Proficiency in Excel (PivotTables, VLOOKUP, VBA).</li><li>
Experience with data warehousing, including Kimball and generic data modeling principles.</li><li>
Experience with Microsoft Fabric and the Azure platform.</li><li>
Knowledge of AI applications in BI and how they can enhance analytics.</li></ul><h3 class="jobSectionHeader"><b>
We offer</b></h3><p><b>
What you can expect</b></p><ul><li>
Career opportunities: We challenge you every day to get better. Together, we realize your full personal and professional career by creating development opportunities.</li><li>
Warm welcome: We warmly welcome our new colleagues, so they feel at home as soon as possible. During your online onboarding program, we give you all the ins and outs of Boskalis!</li><li>
Career development: Plenty of opportunities to realize your full potential. Challenge yourself with (online) courses in our Boskalis academy.</li></ul><p><b>
Extra information</b></p><ul><li>
Your team: You will be part of the IT Data Service team.</li><li>
Where you will work: You will work from our office in Abu Dhabi.</li><li>
Full-time/ part-time job: The position of data engineer is a full-time job.</li><li>
Procedure: Apply easily by completing the online application form. Interviews are held online or in the office. Once it&rsquo;s clear we&rsquo;re a good match, we&rsquo;ll make you an offer &ndash; and look forward to welcoming you to the company.</li></ul><h3 class="jobSectionHeader"><b>
About Boskalis</b></h3><p>
Working at Boskalis is about creating new horizons and sustainable solutions. In a world where population growth, an increase in global trade, demand for (new) energy, and climate change are driving forces, we challenge you to make your mark in finding innovative and relevant solutions for complex infrastructural and marine projects.</p><p>
Within a vibrant company culture, you will be working as part of a diverse, international team of experts. We offer you the opportunity to realize your full personal potential and expand your professional career by creating new horizons. Together!</p><h3 class="jobSectionHeader"><b>
Interested?</b></h3><p><b>
Want to know more?</b></p><p>
We are more than happy to answer your questions about the position, please contact Melisha Nazareth, Corporate Recruiter via our career page.</p><p><b>
Interested?</b> Please apply by filling in your details and by uploading your cover letter and CV on our careers site.</p><p><b>
Please note: </b>Boskalis never requests a financial contribution to arrange visas or other documents related to a job vacancy. Be wary of individuals who pretend to be our recruiters and ask for such contributions.</p><p><b>
Disclaimer for Recruiters and Recruitment Agencies</b></p><p>
We appreciate your interest in our vacancies and understand that your candidate might be enthusiastic about this exciting opportunity. However, our recruitment process is not structured this way; at Boskalis, we handle recruitment ourselves. Therefore, we do not accept unsolicited applications or CVs from recruitment agencies. Any submission will be treated as a direct application.</p><p>
#LI-MN1</p></div>

Data Analytics Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>13/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

EIX Consulting

<div>
 <p>
  About the Role
 </p>
 <p>
  We are looking for an experienced and visionary Head of Data Analytics to lead the strategic direction, execution, and optimization of ALFIT Insurance&rsquo;s data analytics capabilities. This leadership role is responsible for designing and operationalizing a data-driven ecosystem that supports business performance across all our lines of business &mdash; Health, Life, Marine, Aviation, and General Insurance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Reporting directly to the COO, you will oversee the entire data value chain &mdash; from engineering to advanced analytics &mdash; and shape a data-centric culture that drives growth, compliance, and customer value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strategy &amp; Leadership:
 </p>
 <p>
  - Define and lead the enterprise-wide data analytics strategy and roadmap.
 </p>
 <p>
  - Drive organizational data literacy and embed analytics into operational, underwriting, and executive decision-making.
 </p>
 <p>
  - Lead cross-functional collaboration to implement scalable data solutions and foster a high-performing data culture.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Engineering &amp; Infrastructure:
 </p>
 <p>
  - Architect and scale data platforms (data lakes, warehouses, real-time pipelines).
 </p>
 <p>
  - Oversee integration of internal systems and external feeds (TPAs, reinsurers, brokers).
 </p>
 <p>
  - Ensure robust, secure, and cloud-based data infrastructure in coordination with IT and vendors.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Business Intelligence &amp; Reporting:
 </p>
 <p>
  - Deliver dashboards, KPIs, and performance analytics across the enterprise.
 </p>
 <p>
  - Lead regulatory reporting efforts (DHA, DOH, CBUAE) in collaboration with Finance &amp; Compliance.
 </p>
 <p>
  - Enable self-service BI tools and frameworks for all business units.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Governance &amp; Compliance:
 </p>
 <p>
  - Implement data governance frameworks and ensure compliance with UAE regulations and applicable global standards (e.g., GDPR).
 </p>
 <p>
  - Manage data quality, ownership, privacy, and access protocols across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Science &amp; Advanced Analytics:
 </p>
 <p>
  - Build predictive and prescriptive analytics capabilities.
 </p>
 <p>
  - Lead initiatives in fraud detection, customer segmentation, risk assessment, and underwriting models.
 </p>
 <p>
  - Enrich internal data with third-party and behavioral datasets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Team Management &amp; Operational Readiness:
 </p>
 <p>
  - Recruit, train, mentor, and lead a multidisciplinary data analytics team.
 </p>
 <p>
  - Establish SOPs, training modules, and quality assurance mechanisms.
 </p>
 <p>
  - Deputize for the COO when required and contribute to company-wide operational readiness.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Stakeholders:
 </p>
 <p>
  - Internal: Executive leadership, IT, Sales, Legal, Finance, Compliance, and Operational teams.
 </p>
 <p>
  - External: Reinsurers, Brokers, IT Vendors, Clients, and Government Entities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Decision-Making &amp; Authority:
 </p>
 <p>
  - Financial and operational decisions as per the Board-approved Authority Matrix.
 </p>
 <p>
  - Strategic input and execution subject to COO oversight.
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  - Bachelor&rsquo;s degree in Data Science, Engineering, Finance, Statistics, or Computer Science.
 </p>
 <p>
  - 5&ndash;7 years in a data leadership role, ideally in UAE insurance or regulated financial services.
 </p>
 <p>
  - Expertise in SQL, Power BI/Tableau, ETL, and data architecture.
 </p>
 <p>
  - Deep understanding of insurance data models and regulatory frameworks in the UAE.
 </p>
 <p>
  - Strong leadership, problem-solving, stakeholder engagement, and communication skills.
 </p>
 <p>
  - Fluency in English (Arabic is a plus).
 </p>
 <p>
  - Hands-on experience with AI and machine learning tools is an advantage.
 </p>
 <p>
  - Passion for innovation and operational excellence.
 </p>
</div>


Head of Data Analytics

Khalifa University

<div>
 <p>
  The Data &amp; AI Specialist supports the effective operation of the Student Information System (SIS) and related data platforms by assisting with system administration, data management, and analytics. The role helps maintain data integrity, contributes to secure operations, and develops reports and dashboards that provide useful insights. By supporting data analysis and process improvements, the Specialist enables the Registrar&rsquo;s Office to carry out academic and operational decision-making.
 </p>
 <p>
  <strong>
   Operational Responsibilities:
  </strong>
 </p>
 <p>
  &bull;Support the management and daily operations of the Student Information System (SIS), including configurations, batch jobs, data updates, integrations, scheduling, and security administration. &bull;Assist with maintaining the Ellucian Banner student module, ensuring accuracy, compliance, and efficiency in data processes.
 </p>
 <p>
  &bull;Use data analytics and visualization tools (e.g., Cognos, Power BI) to build and maintain dashboards and reports that support administrative, academic, and operational decision-making.
 </p>
 <p>
  &bull;Contribute to applying data analysis techniques to improve forecasting, reporting, and process automation within SIS-related functions.
 </p>
 <p>
  &bull;Stay informed on vendor updates and system enhancements, helping evaluate new tools and features that can improve SIS and analytics functions.
 </p>
 <p>
  &bull;Collaborate with Registrar staff, IT, and academic/administrative partners to understand business requirements and help implement system and data solutions.
 </p>
 <p>
  &bull;Support process analysis and documentation, helping identify opportunities for automation and system improvements.
 </p>
 <p>
  &bull;Provide technical and functional assistance to end-users, including troubleshooting, training, documentation, and communications to ensure smooth system usage.
 </p>
 <p>
  &bull;Participate in requirements gathering, testing, and validation of system enhancements and analytics initiatives.
 </p>
 <p>
  &bull;Document issues, requirements, and resolutions to ensure accuracy and transparency in SIS and related projects.
 </p>
 <p>
  &bull;Help maintain data integrity, consistency, and security across systems in compliance with governance and institutional standards.
 </p>
 <p>
  &bull;Perform other duties as required to support SIS operations and data analytics functions.
 </p>
 <p>
  &bull; Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly.
 </p>
 <p>
  &bull; Coordinate with other departments to facilitate the accomplishment of tasks and responsibilities, as and when needed.
 </p>
 <p>
  &bull; Demonstrate a strong commitment and practice to maintaining a safe and healthy work environment.
 </p>
</div>


Data & AI Analyst

Durlston Partners

<div></div><div><div><div><div>Data Engineering, Data Science
</div><div>$300,000
</div><div>Abu Dhabi</div><p></p><div><br>
</div></div></div><div><div><div><p><b>Senior Data Engineer &ndash; </b><b>Quantitative Trading Firm &ndash; </b><b>$300,000 (tax-free) &ndash; </b><b>Abu Dhabi, UAE (full relocation assistance provided)</b></p>
<p>
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.</p>
<p><b>
Responsibilities</b></p>
<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>
<p><b>Requirements</b></p>
<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>
<p><b>Why Join</b></p>
<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><p></p>

Senior Data Engineer – UAE

Al Masaood

<div>
 <p>
  We are looking for a detail-oriented and analytical
  <strong>
   Data Analyst
  </strong>
  to support the marketing team in transforming data into actionable insights that drive strategic decision-making across
  <strong>
   Al Masaood Automobiles
  </strong>
  &rsquo; business verticals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role plays a key part in consolidating data from digital platforms, CRM/CDXP systems, and media dashboards to provide clear visibility into marketing performance, ROI, and customer behavior. Working closely with the Senior Digital Marketing Manager, CX team, and Head of Marketing, the Data Analyst ensures accuracy, governance, and consistency in reporting while supporting forecasting, planning, and optimization of marketing investments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Management &amp; Reporting
  </strong>
 </p>
 <ul>
  <li>
   Collect and validate data from sources including Google Analytics, Meta Business Suite, CRM/CDXP, media dashboards, and QlikSense.
  </li>
  <li>
   Maintain daily, weekly, and monthly trackers for key marketing KPIs such as leads, conversions, CPL, CPS, and ROI.
  </li>
  <li>
   Collaborate with CX, IT, and Sales teams to build automated dashboards for executive-level reporting.
  </li>
  <li>
   Ensure accuracy, timeliness, and consistency of all marketing data to support informed decision-making.
  </li>
 </ul>
 <p>
  <strong>
   2. Performance Analysis &amp; Insights
  </strong>
 </p>
 <ul>
  <li>
   Analyze campaign performance across channels to identify trends, gaps, and opportunities.
  </li>
  <li>
   Deliver actionable insights to optimize media spend, audience targeting, and creative effectiveness.
  </li>
  <li>
   Track customer journeys across touchpoints, identifying drop-off points and recommending improvements.
  </li>
  <li>
   Prepare analytical summaries and post-campaign reports to support strategic planning.
  </li>
 </ul>
 <p>
  <strong>
   3. Forecasting &amp; Decision Support
  </strong>
 </p>
 <ul>
  <li>
   Develop forecasts and performance projections (e.g., lead-to-sale cycles, seasonal trends, budget utilization).
  </li>
  <li>
   Assess media spend effectiveness and provide optimization recommendations.
  </li>
  <li>
   Support leadership with insight reports and presentations for strategic reviews and planning.
  </li>
 </ul>
 <p>
  <strong>
   4. Governance, Accuracy &amp; Compliance
  </strong>
 </p>
 <ul>
  <li>
   Conduct regular data audits to ensure integrity across platforms.
  </li>
  <li>
   Standardize reporting templates and methodologies in line with internal SOPs and OEM requirements.
  </li>
  <li>
   Uphold data confidentiality and compliance with company policies and data protection standards.
  </li>
  <li>
   Contribute to the development of governance processes that promote transparency and operational excellence.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor&rsquo;s degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field. Certifications in Data Analytics, Digital Marketing Analytics, or Business Intelligence is a plus.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   3&ndash;5 years in marketing analytics, performance marketing, or data reporting, preferably in agency, automotive, FMCG, or digital sectors.
  </li>
  <li>
   <strong>
    Customer Centricity:
   </strong>
   Understands customer behavior and translates data into insights that improve experience and conversion.
  </li>
  <li>
   <strong>
    Collaboration:
   </strong>
   Works effectively with cross-functional teams including marketing, CX, IT, and sales.
  </li>
  <li>
   <strong>
    Analytical Thinking:
   </strong>
   Applies critical thinking to uncover trends, patterns, and opportunities for optimization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in Google Analytics, Meta Business Suite, CRM/CDXP systems, QlikSense or Power BI.
  </li>
  <li>
   Advanced Excel skills (formulas, pivot tables, dashboards); familiarity with SQL, Google Data Studio, or similar platforms.
  </li>
  <li>
   Experience with campaign tracking, UTM discipline, and data validation.
  </li>
  <li>
   Strong understanding of digital metrics, attribution models, and reporting frameworks.
  </li>
  <li>
   Ability to translate complex data into clear, concise insights for business and executive audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  Be part of a fast-paced, data-driven marketing team that values innovation, strategic thinking, and continuous improvement. If you're passionate about turning numbers into narratives and driving measurable impact &mdash; we&rsquo;d love to hear from you.
 </p>
 <p>
 </p>
</div>


Data Analyst

Confidential

<div>
 <p>
  We are looking for exceptional talent to join our data team. Currently, we have an exciting opportunity for a Data Scientist. We are seeking individuals with deep expertise in data science, a proactive approach, strong collaboration skills, and a passion for cultivating a positive and forward-thinking work environment.
 </p>
 <p>
 </p>
 <p>
  <strong>
   ROLES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collaborate with IT and data management teams to ensure the accurate and timely collection of data related to all commercial activities within the airport.
  </li>
  <li>
   Develop and implement sophisticated ETL processes integrating diverse data sources.
  </li>
  <li>
   Design and execute complex data models using statistical and machine learning techniques.
  </li>
  <li>
   Lead analytics projects with Azure Data Lake, Azure Databricks, Data Warehouse, and Power BI.
  </li>
  <li>
   Manage, mentor, and grow a team of data scientists and BI developers.
  </li>
  <li>
   Spearhead the integration of advanced analytics into strategic planning, enhancing forecasting accuracy and market response.
  </li>
  <li>
   Collaborate with business units to translate complex data insights into actionable business strategies.
  </li>
  <li>
   Champion the use of data science in identifying new business opportunities and revenue streams.
  </li>
  <li>
   Act as a bridge between the data analytics team and commercial stakeholders, ensuring that data-driven recommendations are actionable and aligned with business objectives.
  </li>
  <li>
   Explore the use of artificial intelligence (AI) and big data solutions to improve the airport&rsquo;s commercial decision-making processes.
  </li>
  <li>
   Stay updated on the latest trends and developments in data analytics and technology to ensure the airport remains at the forefront of innovation
  </li>
  <li>
   Conduct end-to-end data analysis, modelling, and experimentation using Databricks&rsquo; unified data analytics platform.
  </li>
  <li>
   Apply advanced statistical methods, machine learning, and AI algorithms to solve complex business problems.
  </li>
  <li>
   Build and optimize data science models to support business decisions and operational improvements.
  </li>
  <li>
   Collaborate with data engineers to design and maintain efficient data pipelines, ensuring data quality and integrity.
  </li>
  <li>
   Use Databricks for building scalable, distributed data processing workflows and transforming large datasets for analysis.
  </li>
  <li>
   Optimize workflows for big data applications and automate recurring data tasks.
  </li>
  <li>
   Work closely with data engineering, product, and business teams to translate business requirements into data-driven solutions.
  </li>
  <li>
   Lead discussions on best practices and the integration of Databricks for different teams across the organization.
  </li>
  <li>
   Foster a collaborative environment by sharing insights and promoting data science across departments.
  </li>
  <li>
   Design, develop, and implement machine learning models using Databricks to improve decision-making processes.
  </li>
  <li>
   Leverage Databricks' Machine Learning Runtime for tracking, optimizing, and deploying machine learning models.
  </li>
  <li>
   Ensure scalability and performance of models in production, including real-time scoring and retraining.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical skills required
  </strong>
 </p>
 <ul>
  <li>
   Natural Language Processing (NLP) deployment
  </li>
  <li>
   Machine Learning (Azure Databricks)
  </li>
  <li>
   ML experiments and training
  </li>
  <li>
   Deployment of production (MLOps)
  </li>
  <li>
   Take end to end ownership of all ML features
  </li>
  <li>
   Recommendation systems
  </li>
  <li>
   AI Software Engineering
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION AND EXPERIENCE
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   A minimum of 6 years of experience in data science, with advanced proficiency in SQL, Python/R, Azure Databricks, Azure Datafactory and BI tools such as Power BI
  </li>
  <li>
   Strong fundamental knowledge in machine learning, statistical analysis, and predictive modelling.
  </li>
  <li>
   Proficiency in Databricks and Spark for large-scale data processing.
  </li>
  <li>
   Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
  </li>
  <li>
   Expertise in Python, Scala, or R for data science tasks.
  </li>
  <li>
   Experience with cloud platforms ( Azure) and Databricks&rsquo; cloud infrastructure.
  </li>
  <li>
   Excellent problem-solving and analytical thinking.
  </li>
  <li>
   Strong collaboration and communication skills.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist

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