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data scientist

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead initiatives to develop and implement strategies for fraud detection and AML.
 </li>
 <li>
 Interact heavily with SME as well as Enterprise clients.
 </li>
 <li>
 Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
 </li>
 <li>
 Plan, research and experiment customized project-based solutions.
 </li>
 <li>
 Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
 </li>
 <li>
 Plan and execute towards the training of ML models then deploying them.
 </li>
 <li>
 Help shape the roadmap for the development of our fraud and AML solutions.
 </li>
 <li>
 Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 At least 5 years experience in leading advanced data science projects.
 </li>
 <li>
 A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
 </li>
 <li>
 Strong communication skills to collect insights from clients, share and present findings.
 </li>
 <li>
 Proficient in handling and analysing large datasets using SQL and Python.
 </li>
 <li>
 Hands-on experience in data extraction, visualisation, analysis, and transformation.
 </li>
 <li>
 Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
 </li>
 <li>
 Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
 </li>
 <li>
 Ability to create and manage complex multi-stage data pipelines.
 </li>
 <li>
 Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
 </li>
 <li>
 Proficiency in English language is required and preferably in Arabic languages.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and adaptability
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

Senior Data Scientist

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 Help in implementing advanced data science and analytics solutions by developing models, evaluating
 
 
 enterprise data assets, and providing actionable insights that support data-driven decision-making,
 
 
 performance optimization, and advanced analytics initiatives across Red Sea Global.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Implement data acquisition, profiling, cleansing, and transformation processes across enterprise data sources to ensure data integrity, analytical readiness, and alignment with defined governance and quality standards.
 </li>
 <li>
 Develop statistical, machine learning, and predictive models to analyze complex datasets, identify trends and correlations, and support operational, commercial, and strategic decision-making use cases.
 </li>
 <li>
 Evaluate data usability, completeness, and value to determine suitability for reporting, analytics, and coordinating remediation actions with data owners and data platform teams.
 </li>
 <li>
 Design and maintain analytical data views, semantic layers, and curated datasets used by BI tools, dashboards, and advanced analytics solutions to ensure consistent and business aligned interpretation of data.
 </li>
 <li>
 Provide analytical outputs, visualizations, and insight narratives that translate complex findings into clear recommendations tailored to technical and non-technical stakeholders.
 </li>
 <li>
 Support enterprise data governance execution by contributing to data quality controls, KPI definitions, business metadata documentation, and data stewardship activities across assigned data domains.
 </li>
 <li>
 Coordinate with business units to understand analytical requirements, validate assumptions, and deliver data-driven solutions addressing performance gaps and operational challenges.
 </li>
 <li>
 Review recurring data quality or analytical issues through root-cause analysis and contribute to corrective actions across data-producing functions to enhance long-term data reliability.
 </li>
 </ul>
 
 
 
 
 
 Academic Qualifications:
 
 bachelor&rsquo;s degree in data science, Computer Science, Statistics, or a related field.
 
 
 
 Years of Experience:
 
 4 years of relevant experience.
 
 
 
 Other Requirements:
 
 Certified Data Scientist (CDS), IBM Data Science Professional Certificate, or Microsoft Certified: Data Scientist Associate is preferred.
 
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Senior Specialist – Data Science

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Healthcare Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 
 
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 
 
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 
 
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
 </li>
 <li>
 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
 </li>
 <li>
 Solid understanding and application of Programming in Python and/or R
 </li>
 <li>
 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
 </li>
 <li>
 Familiarity with SQL and data querying from relational databases or cloud-based environments
 </li>
 <li>
 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication in Arabic and English
 </li>
 </ul>
</div>

Senior Analyst - Healthcare Analytics

Buro Happold

<div>Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert 
Here at Buro Happold, expect the exceptional.
From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary. 
Your next role
Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive. 
You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy. 
Your key duties
We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:<ul><li>
Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.</li><li>
Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.</li><li>
Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).</li><li>
Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.</li><li>
Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.</li><li>
Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.</li><li>
Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).</li><li>
Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.</li></ul> 
Your skills and experience<ul><li>
Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.</li><li>
Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.</li><li>
Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.</li><li>
Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.</li><li>
Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.</li><li>
Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.</li></ul>
Academic qualifications
The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science</li><li>
Data Science</li><li>
Statistics, Mathematics</li><li>
Engineering</li><li>
or a related quantitative discipline (or equivalent relevant experience).</li></ul>
Personal Attributes<ul><li>
Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.</li><li>
Proactive and solution driven, with a strong sense of ownership for deadlines and deliverables.</li><li>
Collaborative team player, comfortable working with multidisciplinary and multicultural teams.</li><li>
Able to work under pressure, manage multiple priorities, and adapt to evolving project needs</li></ul> 
What we offer you<ul><li>
Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.</li><li>
Hybrid working arrangements</li><li>
Attractive salary and benefits package</li><li>
A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you</li><li>
Entitlement to two memberships to professional bodies or subscriptions</li><li>
An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.</li></ul> 
At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy. 
A place for everyone
Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance. We welcome applications from those who are seeking flexibility in their careers. 
Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive. 
We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application. 
#LI-LH</div>

Senior Consultant - AI & Data Science

MASTER-WORKS

<div>Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
Data Engineer Roles and Responsibilities:
1. Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system.
2. Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data.
3. ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.
4. Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
5. NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data.
6. Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions.
7. Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows in 
 
 
Requirements 
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
preferably 5+ years of experience.</div>

Data Engineer

<div>Master Works is hiring an experienced Data Engineer (5+ years) in Riyadh to design and optimize large-scale real-time and batch data pipelines within the Telecom domain.<ul><li>
Design, develop, and maintain real-time and batch data pipelines leveraging Kafka, Spark, and Hadoop components.</li><li>
Must have understanding of Teradata CLDM, should know how to create new Data Model or modify existing data model based on business requirement</li><li>
Collaborate with business analysts and data architects to translate business requirements into robust data models and ETL frameworks.</li><li>
Apply Relational and Dimensional modeling techniques to design databases and ensure data is organized effectively for both operational and analytical purposes.</li><li>
Write, debug, and optimize SQL and Stored Procedures to ensure efficient data processing.</li><li>
Work closely with BI, Data Science, and Campaign teams to ensure seamless data availability for analytics</li><li>
Work closely with Data Architects, Analysts, and Business Stakeholders to translate business requirements into database solutions.</li><li>
Ensure all database design and code is well-documented and follows best practices for performance and maintainability.</li><li>
Involves designing fact and dimension tables for reporting and analytics purposes, often in a star or snowflake schema.</li><li>
Develop and maintain technical documentation (data flow diagrams, source-to-target mappings, architecture documents).</li><li>
Ensure that the Data Dictionary is always up-to-date, capturing all changes to the database schema, including newly created or modified tables, columns, views,</li><li>
Perform data quality checks, validation, and ensure end-to-end data accuracy and lineage.</li><li>
Support and troubleshoot real-time streaming jobs and ensure high availability of data pipelines</li></ul> 
 
 
Requirements 
Have-Must<ul><li>
Strong expertise in real-time data integration using Kafka, Spark Streaming, or Dataflow.</li><li>
Hands-on experience with Hadoop ecosystem components (HDFS, Hive, Sqoop, Spark etc.).</li><li>
Strong Data Modeling concepts including FSLDM, CLDM, and Dimensional / Data Vault modeling.</li><li>
Deep understanding of Telecom domain (BSS/OSS, CDR, usage, revenue, and campaign data).</li><li>
Experience building and optimizing ETL pipelines and data ingestion frameworks for structured and unstructured data.</li><li>
Proficiency in SQL and distributed data processing using Hive, Spark SQL, or PySpark.</li><li>
Good understanding of data governance, data quality, and lineage frameworks.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and collaboration skills with cross-functional teams.</li><li>
Experience in working on data vartulization tools like (Tibco. Trino etc)</li></ul> 
Good-to-Have<ul><li>
Familiarity with Data Catalogs, Metadata Management, and NDMO data governance standards.</li><li>
Experience with Data Catalogue tools.</li><li>
Familiarity with CI/CD pipelines, Git.</li><li>
Knowledge of ETL orchestration tools like Airflow, NiFi</li></ul></div>

Data engineer

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