senior data modeler

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo) &bull; Greece (Athens) &bull; Bulgaria (Sofia)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department:</b> Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services<br>
</div><div></div><br>
<div>We are seeking a visionary Senior Data Modeler to architect the backbone of our next-generation AI ecosystem. In this role, you will move beyond legacy ETL patterns to build a Hub-and-Spoke data architecture that prioritizes interoperability and &quot;AI-readiness.&quot; The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP, CRM, PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases.</div><div></div><div><b><br>
YOUR NEW KEY RESPONSIBILITIES:
</b></div><div><ul><li>Architecture &amp; Design (Hub-and-Spoke)
</li><li><ul><li>Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes.
</li><li>Establish &quot;Golden Records&quot; within the Hub to ensure a single version of truth for master data (Customer, Product, Asset).
</li><li>Standardize &quot;Spoke&quot; delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption. Design data structures for event-based, streaming integration patterns including structured and unstructured data.
</li></ul></li></ul></div><div><ul><li>Semantic Intelligence &amp; Ontology
</li><li><ul><li>Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms.
</li><li>Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning.
</li><li>Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools.
</li></ul></li></ul></div><div><ul><li>Data Cataloguing &amp; Discovery
</li><li><ul><li>Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview).
</li><li>Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership.
</li><li>Tag data with semantic descriptors to enable AI-driven &quot;natural language to SQL&quot; capabilities.
</li></ul></li></ul></div><div><ul><li>AI Readiness &amp; Governance
</li><li><ul><li>Structure data to support feature stores and vector databases.
</li><li>Collaborate with Data Engineers to ensure &quot;Data-as-a-Product&quot; delivery standards.
</li><li>Enforce strict interoperable data modeling standards that prioritize data quality, privacy, and auditability.
</li>Lead Community of Practice for Data Modelling and drive continuous improvement.<br>
<li>
</li></ul></li></ul></div><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><div><ul><li>BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline.
</li><li>2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management.
</li><li>Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling.
</li><li>Experience with automated metadata management and line9age tools.
</li><li>Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher.</li><li>
Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management. Understanding of how structured data feeds into Vector DBs and LLM contexts.</li><li>
Systems Thinking: Ability to see the &quot;Big Picture&quot; and how one change impacts the entire network.
</li><li>A definite advantage would be a passion for naming conventions and definitions&mdash;if the AI doesn't understand the column name, neither will the user.
</li><li>Acting as the bridge between the &quot;Data Producers&quot; (Engineers) and &quot;Data Consumers&quot; (Data Scientists).
</li><li>Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems.
</li><li>Exposure to tools such as Databricks, Snowflake, Fabric, DBT, Looker, AtScale, Cube, Lakehouse, DeltaLake, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, Kafka or equivalent streaming technology.
</li><li>Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
</li>Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions. Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.<br>
<li>
</li></ul></div><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:
</b></div><div>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.<br>
</div></div></div></div></div></div><div></div><br>
<div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div></div></div></div></div></div></div>

Senior Data Modeler

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a visionary Senior Data Modeler to architect the backbone of our next-generation AI ecosystem. In this role, you will move beyond legacy ETL patterns to build a Hub-and-Spoke data architecture that prioritizes interoperability and "AI-readiness." The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP, CRM, PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Architecture &amp; Design (Hub-and-Spoke)
  </li>
  <li>
   Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes.
  </li>
  <li>
   Establish "Golden Records" within the Hub to ensure a single version of truth for master data (Customer, Product, Asset).
  </li>
  <li>
   Standardize "Spoke" delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption. Design data structures for event-based, streaming integration patterns including structured and unstructured data.
  </li>
  <li>
   Semantic Intelligence &amp; Ontology
  </li>
  <li>
   Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms.
  </li>
  <li>
   Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning.
  </li>
  <li>
   Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools.
  </li>
  <li>
   Data Cataloguing &amp; Discovery
  </li>
  <li>
   Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview).
  </li>
  <li>
   Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership.
  </li>
  <li>
   Tag data with semantic descriptors to enable AI-driven "natural language to SQL" capabilities.
  </li>
  <li>
   AI Readiness &amp; Governance
  </li>
  <li>
   Structure data to support feature stores and vector databases.
  </li>
  <li>
   Collaborate with Data Engineers to ensure "Data-as-a-Product" delivery standards.
  </li>
  <li>
   Enforce strict interoperable data modeling standards that prioritize data quality, privacy, and auditability.
  </li>
  <li>
   Lead Community of Practice for Data Modelling and drive continuous improvement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <ul>
  <li>
   BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline.
  </li>
  <li>
   2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management.
  </li>
  <li>
   Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling.
  </li>
  <li>
   Experience with automated metadata management and line9age tools.
  </li>
  <li>
   Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher.
  </li>
  <li>
   Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management. Understanding of how structured data feeds into Vector DBs and LLM contexts.
  </li>
  <li>
   Systems Thinking: Ability to see the "Big Picture" and how one change impacts the entire network.
  </li>
  <li>
   A definite advantage would be a passion for naming conventions and definitions&mdash;if the AI doesn't understand the column name, neither will the user.
  </li>
  <li>
   Acting as the bridge between the "Data Producers" (Engineers) and "Data Consumers" (Data Scientists).
  </li>
  <li>
   Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems.
  </li>
  <li>
   Exposure to tools such as Databricks, Snowflake, Fabric, DBT, Looker, AtScale, Cube, Lakehouse, DeltaLake, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, Kafka or equivalent streaming technology.
  </li>
  <li>
   Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
  </li>
  <li>
   Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions. Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
</div>


<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior Data Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Data Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior Data Engineer to lead the design and development of the scalable, high-performance data architecture that underpins our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Architect and develop scalable, resilient batch and streaming data pipelines using ADF, Databricks, and Spark &mdash; designed for the throughput and reliability CDP demands at population scale.</li></ul>
<ul><li> Design and implement end-to-end data architecture across ADLS, Snowflake, Cosmos DB, and SQL Server, ensuring optimal storage strategies for different customer data workloads.</li></ul>
<ul><li> Define and enforce data modeling standards, data contracts, and schema evolution strategies that protect the integrity of CDP as the single source of truth.</li></ul>
<ul><li> Build and maintain data quality, reconciliation, and observability frameworks &mdash; ensuring every customer profile meets the accuracy and completeness thresholds required for trusted, authoritative data.</li></ul>
<ul><li> Optimize performance, scalability, and cost efficiency of large-scale distributed data systems processing billions of customer records.</li></ul>
<ul><li> Develop and manage data ingestion frameworks for APIs, event streams (Event Hub/Kafka), and enterprise systems &mdash; ensuring no customer touchpoint is missed.</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in data engineering and distributed data systems</li></ul>
<ul><li> Proven experience designing and implementing enterprise-scale data platforms serving high-volume, high-reliability use cases</li></ul>
<ul><li> Strong experience in cloud-native architectures (Azure preferred)</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Advanced programming: Python, Spark (PySpark/Scala), SQL</li></ul>
<ul><li> Azure ecosystem: ADF, ADLS, Databricks</li></ul>
<ul><li> Data platforms: Snowflake, Cosmos DB, SQL Server</li></ul>
<ul><li> Strong expertise in ETL/ELT design, streaming architectures, and data modeling for customer-centric data domains</li></ul>
<ul><li> Experience with API integrations and event-driven architectures at scale</li></ul>
<ul><li> Hands-on experience with data quality frameworks, reconciliation techniques, and monitoring &mdash; with a focus on trust and accuracy</li></ul>
<ul><li> Familiarity with data support for AI/ML use cases (e.g., feature pipelines, data preparation, metadata management for identity resolution)</li></ul>
<ul><li> Basic understanding of RAG, vector search, and LLM-driven applications (supporting role, not primary ownership)</li></ul>
<ul><li> Experience implementing data governance, lineage, and access controls in regulated environments</li></ul>
<ul><li> Expertise in performance tuning and cost optimization for population-scale data processing</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for data platforms that must be both authoritative and performant</li></ul>
<ul><li> Ability to handle large-scale, complex data ecosystems spanning hundreds of source systems</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $70,000-$105,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 70,000.00 to 105,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior Data Engineer — Customer Data Platform

Atos

<div>
 <strong>
  About Atos
  <br/>
  <br/>
 </strong>
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 <br/>
 <br/>
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 <br/>
 <br/>
 <strong>
  Senior Data Engineer
  <br/>
  <br/>
 </strong>
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 <br/>
 <br/>
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 <br/>
 <br/>
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 <br/>
 <br/>
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 <br/>
 <br/>
 Develop and maintain data integrations via APIs where necessary.
 <br/>
 <br/>
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 <br/>
 <br/>
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 <br/>
 <br/>
 5+ years of experience in data engineering.
 <br/>
 <br/>
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 <br/>
 <br/>
 Strong experience with Python, dbt, and Airflow.
 <br/>
 <br/>
 Solid understanding of SQL and database design.
 <br/>
 <br/>
 Knowledge of API integrations.
 <br/>
 <br/>
 Experience with Tableau or other data visualization tools (nice to have).
 <br/>
 <br/>
 Demonstrated ability to work independently and within a collaborative team environment.
 <br/>
 <br/>
 Strong analytical and problem-solving skills.
 <br/>
 <br/>
 Excellent communication and interpersonal skills.
 <br/>
 <br/>
 English fluency is required; proficiency in French is a plus.
 <br/>
 <br/>
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 <br/>
 <br/>
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 <br/>
 <br/>
 <strong>
  Choose your future. Choose Atos.
 </strong>
</div>


SENIOR DATA ENGINEER

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior AI/ML Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior AI/ML Engineer to lead the design and development of the advanced AI systems that make our Customer Data Platform (CDP) the authoritative source of truth for customer data &mdash; covering the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Design and lead end-to-end identity resolution architecture, combining probabilistic models, ML, and embedding-based techniques to build the authoritative customer identity graph</li></ul>
<ul><li> Build and optimize large-scale entity matching systems across billions of records and multiple data domains &mdash; ensuring every US adult is accurately represented in CDP</li></ul>
<ul><li> Architect advanced candidate generation and blocking strategies (LSH, phonetic encoding, semantic similarity) that balance precision with computational feasibility at population scale</li></ul>
<ul><li> Design high-precision matching pipelines using ensemble approaches (rules + ML + LLM-based validation) to maximize accuracy of golden customer profiles</li></ul>
<ul><li> Develop scalable clustering and graph-based approaches for unified customer identity resolution with clear confidence scoring and auditability</li></ul>
<ul><li> Lead implementation of embedding pipelines and similarity search systems using transformer models for semantic-level identity matching</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Data Science, or related field</li></ul>
<ul><li> 6+ years of experience in ML/AI engineering</li></ul>
<ul><li> Proven experience building production-grade entity resolution or identity graph systems at scale</li></ul>
<ul><li> Experience designing LLM-based applications in enterprise environments with high accuracy and trust requirements</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Advanced programming: Python</li></ul>
<ul><li> Deep expertise in ML algorithms for similarity, classification, and clustering &mdash; particularly in identity resolution contexts</li></ul>
<ul><li> Strong experience with transformer models, embeddings, and semantic search at population scale</li></ul>
<ul><li> Hands-on experience with LLM APIs and orchestration frameworks</li></ul>
<ul><li> Strong SQL and experience with distributed data processing (Spark, Dask)</li></ul>
<ul><li> Experience with vector databases and ANN search systems (FAISS, Pinecone, etc.)</li></ul>
<ul><li> Expertise in ML lifecycle management (MLflow or equivalent)</li></ul>
<ul><li> Understanding of data governance, privacy, and security requirements for customer identity data</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for AI/ML systems at population scale</li></ul>
<ul><li> Ability to balance precision, recall, and scalability in identity resolution systems &mdash; understanding that accuracy directly impacts CDP's authority as the source of truth</li></ul>
<ul><li> Strong understanding of data semantics and customer domain modeling across diverse data sources</li></ul>
<ul><li> Leadership in driving AI engineering best practices, standards, and quality benchmarks</li></ul>
<ul><li> Ability to collaborate across data engineering, product, security, and business teams to deliver trusted customer intelligence</li></ul>
<ul><li> Licenses and Certifications</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $75,000-$113,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>agentic ai,api integration,generative ai,machine learning,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 75,000.00 to 113,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior AI/ML Engineer — Customer Data Platform

Transpo Group Middle East

<p><b>Hiring: Financial Modeler | Industrial / Manufacturing Projects</b></p><p>We are currently seeking an experienced <b>Financial Modeler</b> to support a major industrial project (on bid stage). This role is ideal for candidates with a strong background in <b>financial analysis, project modeling, and manufacturing operations</b>, particularly within the <b>metal production sector</b>.</p><p><i>Please note: This opportunity is tied to a project under tender/bid stage. Shortlisted candidates will be considered for inclusion in the proposal and mobilization upon award.</i></p><p><b>Key Responsibilities</b></p><ul><li>Develop and maintain complex <b>financial models</b> for large-scale industrial/manufacturing projects</li><li>Conduct <b>feasibility studies</b>, financial forecasting, and scenario analysis</li><li>Support <b>investment appraisals</b>, budgeting, and cost analysis</li><li>Collaborate with engineering, commercial, and project teams to align financial assumptions with technical inputs</li><li>Analyze project risks, returns, and funding structures</li><li>Prepare reports and presentations for senior stakeholders and investors</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in <b>Accountancy, Finance, or related field</b></li><li>Minimum <b>10 years of experience</b> in financial modeling and analysis</li><li>At least <b>5 years of experience within industrial or manufacturing sectors</b></li><li>Strong expertise in <b>project finance, financial forecasting, and valuation models</b></li><li>Advanced proficiency in <b>Excel and financial modeling tools</b></li><li>Excellent analytical, communication, and stakeholder management skills</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience in <b>metal production, mining, or heavy industrial projects</b></li><li>Exposure to <b>EPC / PMC environments or large-scale capital projects</b></li><li>Professional certifications (CPA, CFA, or equivalent) are an advantage</li></ul><p><b>Interested?</b></p><p>If you meet the above criteria and are open to being considered for this opportunity, please share your updated CV.</p><p><i>Kindly note that inclusion in the proposal does not constitute a formal offer but positions you for priority consideration upon project award.</i></p><p><i><b>Note to Applicants: Please read the job requirements carefully. If you do not have the required experience especially in the industrial sector, please do not apply.</b></i></p><p>Application Question(s):</p><ul><li>Did you include the project experience in your CV?</li><li>Is your most recent CV attached to your application?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>financial modeling: 5 years (Required)</li><li>construction industry: 5 years (Required)</li><li>industrial/manufacturing project: 5 years (Required)</li></ul><p>Work Location: In person</p>

Finance Modeler (Bid Stage)

Parametx

<p>About the Role</p><p>We are seeking a detail-oriented and technically proficient <b>BIM Architecture &amp; ID Modeler</b> to join our design consultancy team. In this role, you will be responsible for developing high-quality 3D architectural models and extracting 2D documentation that aligns with international BIM standards. You will work closely with Architects and Engineers to transform conceptual designs into data-rich virtual constructions.</p><p>Key Responsibilities</p><ul><li><b>Modeling:</b> Create and maintain Revit architectural models from LOD 200 to LOD 350 throughout the project lifecycle.</li><li><b>Documentation:</b> Generate accurate floor plans, elevations, sections, and detailed drawings directly from the BIM model.</li><li><b>Coordination:</b> Perform clash detection using <b>Navisworks</b> and collaborate with MEP and Structural teams to resolve spatial conflicts.</li><li><b>Content Creation:</b> Develop and manage Revit families (Parametric components) and project templates.</li><li><b>Standards Compliance:</b> Ensure all models adhere to the company&rsquo;s BIM Execution Plan (BEP) and industry standards.</li><li><b>Data Management:</b> Manage BIM data exchanges and maintain organized Central Files and Cloud work-sharing environments (BIM 360/ACC).</li></ul><p>Required Qualifications &amp; Skills</p><ul><li><b>Education:</b> Bachelor&rsquo;s degree in Architecture, Civil Engineering, or a related field.</li><li><b>Software Expertise:</b> * Expert proficiency in <b>Autodesk Revit</b> (Architecture).</li><li>Strong knowledge of <b>Navisworks Manage</b>.</li><li>Familiarity with <b>AutoCAD</b> and <b>BIM 360 / Autodesk Construction Cloud</b>.</li><li><b>Experience:</b> 3-5years of experience working as a BIM Modeler within a Design Consultancy environment.</li><li><b>Technical Knowledge:</b> Deep understanding of construction documentation, building materials, and architectural detailing.</li></ul><p>What We Offer</p><ul><li>Opportunity to work on landmark large-scale projects.</li><li>Access to the latest BIM technologies and continuous professional development.</li><li>A collaborative and innovative design culture.</li><li>Competitive salary and benefits package.</li></ul><p>How to Apply</p><p>Please send your updated CV and a portfolio highlighting your BIM/Revit work to our email address: info@parametx.com or via WhatsApp to +918089850501.</p><p>Job Type: Full-time</p><p>Pay: AED5,500.00 - AED6,000.00 per month</p><p>Work Location: Remote</p>

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