senior data modeler

Devoteam

<div><b>Company Description</b><p><b><br>
Tech for People Unlocks the Future</b></p><p>
At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br>
With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.</p><p><b>
Devoteam Culture &amp; Values:</b><br>
True innovation is born from a powerful culture, fused with meaningful values.</p><p><b>
Culture:</b></p><p><b>
Fair and courageous</b><br>
Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.<br>
<br>
<b>Ambition and results</b><br>
Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.<br>
<br>
<b>Learning and innovating</b><br>
Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.<br>
<br>
<b>Caring and sharing</b><br>
A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br>
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,</p><p><b>
Values:</b></p><p>
1. Respect<br>
2. Frankness<br>
3. Passion</p><p>
Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.</p><p>
To know more about us, please visit: www.devoteam.com<br>
</p><br>
<br>
<b>Job Description</b><p><b><br>
Summary Introduction:</b></p><p>
Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases, and ensure data is structured for high performance, clarity, and long-term scalability across both operational and analytical systems. Data Modeler will be the translator between business stakeholders and data engineering teams.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Assessment - Review current data models to understand the AS-IS environment.</li><li>
Conceptual, Logical, and Physical Modeling - Plan, design and maintain blueprints of the TO-BE data models for OLTP (operational), OLAP (analytical), and Enterprise Data Lakehouse environments and how data will be stored, managed and used.</li><li>
Business Alignment - Understand business processes and translate them into robust data requirements and review current report design documents to understand where data model structures can address business requirements.</li><li>
Multi-Paradigm Modeling - Designing 3NF (Third Normal Form) for transactional databases, Dimensional Models (Kimball/Star Schema) for data warehousing, and Data Vault 2.0 for scalable enterprise data lakes.</li><li>
Data Quality - Transform unstructured data into structured data by fixing errors, eliminate redundancies and unnecessary data to optimize data systems.</li><li>
Performance Optimization - Optimize query performance through smart indexing, partitioning, and materialization strategies.</li><li>
Data Governance - Establish, enforce and implement best practices, data naming standards, data definitions, maintain data maps and relevant diagrams for data systems and metadata management.</li><li>
Data Security - Specify rules and guidelines for ensuring data security and compliance. Define procedures for ensuring data are classified according to their sensitivity.</li><li>
Tooling &amp; Documentation - Maintain data schemas using modern standards modeling tools and ensure documentation is accessible to both technical and non-technical users.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
B.Sc. Degree with a minimum of 5+ years of dedicated data modeling experience in enterprise relational databases, columnar databases.</li><li><b>
SQL Proficiency -</b> Write, read, and optimize complex SQL transactional and analytical queries</li><li><b>
Modern Data Stack Familiarity</b> - Experience modeling for cloud data warehouses/lakehouses (e.g., SQLSERVER, Hadoop, Snowflake, BigQuery, Databricks), working alongside transformation tools (e.g., dbt), and create ERDs for relational systems and dimensional diagrams.</li><li><b>
Tooling</b> - Proficiency with ER/Studio, Erwin or similar data modeling software.</li><li><b>
NoSQL/Unstructured Data -</b> Understanding of when and how to model semi-structured data (JSON, Parquet) and NoSQL databases (MongoDB, Cassandra) alongside relational data.</li><li><b>
Physical Data Management </b>- Understand current data storage constrains and define TO-BE needs with growth allocation.</li><li><b>
Data Integration -</b> Familiar with ETL tools to define the rules for data transformations and prepare data for big data analytics.</li><li>
Soft Skills: Communication, presentation skills, Business needs, able to lead or mentor a team.</li></ul><p><b>
Certificates: </b>W3school SQL Certification, DAMA-CDMP Certification, Microsoft: Azure Data Engineer Associate.</p><b><br>
Additional Information</b><p><b><br>
Business Unit: DAIC</b></p><p><b>
Level: Mid-senior level</b></p></div>

Senior Data Modeler Consultant

<div><b>Role description</b><p><b><br>
Data Modeler</b></p>
<p><b>
Nottingham (Hybrid &ndash; 3 days onsite)</b><br>
<b>Start: July 2026</b><br>
<b>Employment Type: Permanent / Fixed Term</b></p><br>
<p></p>
<p>
We are seeking an experienced Data Modeler to play a key role in shaping enterprise data architecture and enabling large-scale data transformation initiatives.</p>
<p>
In this role, you will lead the design and optimisation of data models that support modern data platforms, analytics, and cloud-based environments. You will collaborate with cross-functional teams to ensure consistent, scalable, and high-performance data solutions aligned with enterprise standards.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Lead the design and development of conceptual, logical, and physical data models for enterprise data platforms and analytics solutions</li>
<li>Develop and implement dimensional models including Star Schema, Snowflake, Data Vault, and Canonical Data Models</li>
<li>Design scalable data models across relational, cloud, and big data environments</li>
<li>Collaborate with enterprise architects, business stakeholders, and engineering teams to define data standards, governance, and modeling strategies</li>
<li>Ensure alignment with data governance, metadata management, and data quality frameworks</li>
<li>Review and optimise existing data models for performance, scalability, and regulatory compliance</li>
<li>Drive best practices across normalisation, denormalisation, and data architecture standards</li>
<li>Lead data model reviews, design governance, and mentoring of junior team members</li>
<li>Establish enterprise-wide conventions, standards, and reusable data modeling framework<b>s</b></li></ul><br>
<p></p>
<p><b>
What We&rsquo;re Looking For</b></p>
<ul>
<li>Extensive experience in enterprise data modeling and data architecture within large-scale environments</li>
<li>Strong expertise in dimensional modeling techniques and modern data design patterns</li>
<li>Hands-on experience with data modeling tools such as ER/Studio, Erwin Data Modeler, or PowerDesigner</li>
<li>Proven experience working with cloud data platforms including Microsoft Azure, Snowflake, and modern data warehouse solutions</li>
<li>Deep understanding of data governance, master data management (MDM), and metadata frameworks</li>
<li>Experience in data lineage, reference data management, and data quality practices</li>
<li>Strong capability in performance optimisation and scalable data architecture design</li>
<li>Excellent stakeholder engagement, leadership, and communication skills</li>
<li>Experience supporting enterprise data modernisation and cloud migration programmes</li></ul><br>
<p></p>
<p><b>
Key Skills</b></p>
<ul>
<li>Enterprise Data Modeling</li>
<li>Data Architecture &amp; Design</li>
<li>Master Data Management (MDM)</li>
<li>Reference Data Management</li>
<li>Data Governance &amp; Data Quality</li>
<li>ER/Studio, Erwin, PowerDesigner</li>
<li>Microsoft Azure, Snowflake, SQL Server</li></ul><br>
<p></p>
<p><b>
Hurry &amp; apply for a more detailed conversation!</b></p>
<p><b>
#UST</b></p><b><br>
Skills</b><p><br>
data modeling,reference data management,master data management,enterprise data modeling,</p><b><br>
About UST</b><br>
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>

Data Modeler (Lead I - Data Engineering)

Findr

<div>
 <p>
  <strong>
   <u>
    Senior Data Engineer / Data Scientist - AI &amp; Machine Learning - &euro;130,000
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A growing
  <strong>
   AI-first HealthTech company
  </strong>
  in the Frankfurt Rhine-Main region is hiring a
  <strong>
   Senior Data Engineer / Data Scientist
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a
  <strong>
   senior hands-on role
  </strong>
  focused on building
  <strong>
   scalable data platforms, production-grade AI systems, and the infrastructure behind a live healthcare platform used every day in real-world therapeutic environments.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  You should be comfortable
  <strong>
   building and operating reliable cloud-based data systems
  </strong>
  while also understanding how
  <strong>
   machine learning and AI solutions are deployed, monitored, and maintained in production environments.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Working closely with
  <strong>
   AI, engineering and product teams
  </strong>
  , you&rsquo;ll help evolve the data platform, productionise machine learning and Generative AI solutions, and ensure data is transformed into insights that directly influence product and clinical decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why join?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Meaningful AI impact in pediatric HealthTech
   </strong>
  </li>
  <li>
   <strong>
    Live production platform with real-world usage
   </strong>
  </li>
  <li>
   <strong>
    High ownership and visibility in a 30-person company
   </strong>
  </li>
  <li>
   <strong>
    Hybrid setup in the Frankfurt Rhine-Main region
   </strong>
  </li>
  <li>
   <strong>
    Bonus, stock options, 30 days holiday and strong benefits package
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll bring:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5+ years&rsquo; experience
   </strong>
   in Data Engineering, Data Science or Machine Learning Engineering
  </li>
  <li>
   Experience
   <strong>
    deploying, operating or supporting machine learning and AI systems in production environments
   </strong>
  </li>
  <li>
   Experience
   <strong>
    owning systems in production
   </strong>
   and thinking beyond model development towards
   <strong>
    reliability, scalability, monitoring and long-term maintainability
   </strong>
  </li>
  <li>
   Strong background
   <strong>
    building and operating cloud-based data pipelines and data platforms
   </strong>
  </li>
  <li>
   Experience working in
   <strong>
    product-led environments
   </strong>
   where reliability, scalability and long-term maintainability were critical
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re a technically strong
  <strong>
   Data Engineer
  </strong>
  who is comfortable with
  <strong>
   data science and AI topics
  </strong>
  and wants ownership and genuine impact, let&rsquo;s talk. Apply now to avoid missing out.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Keywords:
   </em>
  </strong>
  <em>
   Senior Data Engineer, Data Platform Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, Python, SQL, BigQuery, GCP, AWS, Azure, ETL, Data Pipelines, Production Systems, MLOps, Machine Learning, Generative AI, HealthTech
  </em>
 </p>
</div>


Senior Data Engineer / Data Scientist - AI & Machine Learning - €130,000

Merlin Entertainments

<div><h2 class="jobSectionHeader"><b>What you'll bring to the team
</b></h2><div><div><div><div><b>Senior Data Scientist</b></div><div><b>
Location:</b> London/Hybrid</div><div><b>
Hours:</b> 37.5 hours per week</div><div><b>
Contract: </b>Permanent - Salaried</div><div></div><div><br>
You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery.</div><div></div><div><b><br>
Responsibilities:</b></div><ul><li>
Build and deploy predictive models and advanced analytics solutions for high-value use cases.</li><li>
Own the most complex and high-impact modelling problems.</li><li>
Ensure robustness, explainability, and performance of models in production.</li><li>
Define the features and datasets required for modelling.</li><li>
Collaborate with the Lead Data Modeller to shape semantic definitions and structures.</li><li>
Work with Engineering to ensure pipelines support modelling needs.</li><li>
Translate business problems into analytical approaches.</li><li>
Challenge poorly defined requests and drive clarity on outcomes.</li><li>
Communicate trade-offs between model complexity, data availability, and delivery timelines.</li><li>
Establish and enforce best practices for modelling, evaluation, and deployment.</li><li>
Implement peer review processes for models and code.</li><li>
Ensure ethical and responsible use of data and AI.</li><li>
Mentor junior and mid-level Data Scientists.</li><li>
Support capability development and knowledge sharing.</li><li>
Act as a confident voice in shaping Data Science practices.</li><li>
Work closely with the Lead Data Modeller to define &lsquo;Gold&rsquo; data required for analytics.</li><li>
Partner with Data Engineers to ensure model readiness and operational deployment.</li><li>
Align with Delivery Lead on prioritisation and feasibility.</li></ul><p></p><div><div><div><div><div><div><div><div><br>
Merlin - It's where we playMerlin Entertainments</div><p></p><div><div><div>
Merlin Entertainments2.17K subscribers</div></div></div></div></div></div><div></div><div><div><div><div><div>
Watch on</div></div></div></div></div></div></div></div></div><div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience
</b></h2><div><div><div><ul><li>Degree in a relevant field such as Computer Science, Mathematics or Engineering.</li><li>
At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.</li><li>
Experience in developing and deploying machine learning models and statistical analysis.</li><li>
Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks).</li><li>
Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL).</li><li>
Proven ability to work with large datasets and complex data structures.</li><li>
Strong background in applying statistical and machine learning techniques to solve business problems.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Benefits
</b></h2><div><div><div><ul><li>&lsquo;Enjoy the Ride&rsquo; Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!</li>
<li>Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year&rsquo;s service</li>
<li>33 days holiday (including bank holidays)</li>
<li>Company bonus</li>
<li>Private pension scheme</li>
<li>40% discount online off LEGO</li>
<li>25% discount in our on-site retail shops and restaurants</li>
<li>Ongoing training and development opportunities</li>
<li>Plus, many more&hellip;</li></ul><br>
<div></div>
<div><b>
If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email at Recruitment@Merlinentertainments.biz and one of the team will get back to you as soon as possible.</b></div>
<div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Pay Range
</b></h2><div><div><div>Competitive</div></div></div></div>
<br><div>At Merlin we welcome the world to our magical attractions and resorts every day and we want to reflect that same multicultural mix inside our business too. We strive to create an inclusive and diverse workplace where people can be themselves, have the same opportunities and thrive together. Because at Merlin, everyone matters!
<br>
<br>
Together, we work to create a workplace where everyone feels valued, no matter their age, race, gender, disability or sexual orientation. Although we understand that we'll always be learning and growing, we aim to be the most inclusive and flexible employer in our industry.</div>

SENIOR DATA SCIENTIST

Credit Acceptance

<div><p>Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we&rsquo;ve grown into a leading provider of used and new car financing across the country.
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>This role leads complex modeling initiatives and drives innovation in machine learning and data science. The Senior Manager designs and deploys advanced statistical and ML models that inform strategic decisions across credit risk, collections, and operations. While formal people management may not be required, the role demands strong leadership, deep technical expertise, mentorship, and business acumen to elevate the organization&rsquo;s analytics capabilities.
<p></p><p><b>Outcome and Activities
</b></p><p></p><ul><li>Lead the design and deployment of predictive models for credit risk, collections, and operations (Senior Manager
</li><li>Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP) (Senior Manager)
</li><li>Mentor and support junior and peer-level data scientists (Senior Manager)
</li><li>Promote adoption of modern data science tools and platforms (Senior Manager)
</li><li>Present insights to senior and cross-functional stakeholders (Senior Manager)
</li><li>Drive experimentation with emerging techniques (e.g., causal inference, GenAI) (Senior Manager)
</li><li>Define and execute the strategic roadmap for predictive modeling and machine learning (Director)
</li><li>Lead cross-functional initiatives integrating analytics to business processes (Director)
</li><li>Oversee development, deployment, and monitoring of high-impact models (Director)
</li><li>Serve as a strategic advisor to senior leadership on data strategy and innovation (Director)
</li><li>Represent Predictive Analytics in regulatory, audit, and governance forums (Director)
</li><li>Foster partnerships across the organization (Director)
</li></ul><p></p><p><b>Requirements:
</b></p><ul><li>Master&rsquo;s or Ph.D. in a quantitative field
</li><li>8+ years of experience in predictive modeling and analytics (Senior Manager)
</li><li>10+ years of experience in predictive modeling and machine learning (Director)
</li><li>6+ years of experience applying ML in production environments (Senior Manager)
</li><li>6+ years of experience leading strategic initiatives or mentoring senior-level peers (Director)
</li><li>Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
</li><li>Deep expertise in credit risk modeling and ML techniques (Director)
</li><li>Experience with cloud platforms and MLOps tools (Senior Manager)
</li><li>Thought leader with strong communication and stakeholder management skills (Senior Manager)
</li><li>Strong understanding of cloud architecture and model lifecycle management (Director)
</li><li>Proven ability to influence senior stakeholders (Director)
</li><li>Experience with regulatory compliance in financial services (Director)
</li></ul><p></p><p><b>Preferred:
</b></p><ul><li>Experience in consumer lending
</li><li>Experience with model governance, explainability, and responsible AI (Senior Manager)
</li><li>Experience with cloud platforms (AWS, Azure, GCP, etc.) and MLOps Tools (MLflow, Kubeflow, etc.) (Director)
</li></ul><p></p><p><b>Targeted Compensation:
</b></p><p>Senior Manager: $221,225 - $259,096 base salary + annual bonus plan
</p><p>Director: $250,513 - $292,265 base salary + annual bonus plan
</p><p></p><p>This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.
</p><p></p><p>#LI-Remote
</p><p>#zip
</p><p></p><p><b>Benefits
</b></p><ul><li>Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
</li></ul><p></p><p><b>Our Company Values:
</b></p><p>To be successful in this role, Team Members need to be:
</p><ul><li>Positive by maintaining resiliency and focusing on solutions
</li><li>Respectful by collaborating and actively listening
</li><li>Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
</li><li>Direct by effectively communicating and conveying courage
</li><li>Earnest by taking accountability, applying feedback and effectively planning and priority setting
</li></ul><p></p><p>To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:
</p><ul><li>Identify the Right People by recognizing top talent
</li><li>Set Clear Expectations by managing change and directing others
</li><li>Train team members and focus on developing talent
</li><li>Performance Manage by ensuring accountability and driving results
</li><li>Create the Right Environment by establishing trust and managing conflict
</li><li>Maintain the Right Number of team members needed to build an effective team
</li></ul><p></p><p><b>Expectations:
</b></p><ul><li>Remain compliant with our policies processes and legal guidelines
</li><li>All other duties as assigned
</li><li>Attendance as required by department
</li></ul><p></p><p><b>Advice </b>!
</p><p>We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!<br>
</p><p></p><p><b>P.S </b>.
</p><p>We have great details around our stats, success, history and more. We&rsquo;re proud of our culture and are happy to share why &ndash; let&rsquo;s talk!
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person&rsquo;s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p>California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.</p></div><p></p>

Senior Manager/Director, Predictive Modeling and Machine Learning

Qiddiya | القدية

<div>
 The senior Expert for Data Modeling will be responsible for the deign and implementation of data models incorporating all information centralized BU the CDU team.
 <br/>
 <br/>
 This currently includes:
 <br/>
 <br/>
 <ul>
  <li>
   Cost data from Prism
  </li>
  <li>
   Time data from Primavera P6
  </li>
  <li>
   Risk data from Arm
  </li>
  <li>
   Metadata from Aconex related to documents and report content
  </li>
  <li>
   Various spreadsheets and databases implemented by Qiddiya
   <br/>
   <br/>
  </li>
 </ul>
 The Data Modeling expert will take the existing model developed in PowerBI and enhance it's capabilities, accessibility and scope of analysis to men the needs of the Qiddiya development division
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enhance the existing data model strategy that covers all development analysis and reporting requirements
  </li>
  <li>
   Ensure clear requirements are provided to data owners so they understand how their data is tagged so it can be incorporated into models
  </li>
  <li>
   Manage the data modeling team, consisting of AI modeling expert, LLM modeling expert and a database technician and assign them tasks that achieve the desired outcome
  </li>
  <li>
   Advise the Data Modeling and Performance &amp; Analytics Director of best practice and possible enhancement to solutions
  </li>
  <li>
   Work with the Data Office to ensure all data and reports are properly governed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <strong>
  Systems development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implementation of software solutions into established working environments
  </li>
  <li>
   Experienced with the integration of existing software packages
  </li>
  <li>
   Development of workflow and automated process to enhance data capturing routines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Intra- Organization Stakeholder Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Effectively liaise with individuals with a variety of experience and authority levels
  </li>
  <li>
   Understand technical solutions and communicate how they solve problems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Team support and development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Assessment of individual and team performance to optimize efficiency
  </li>
  <li>
   Support to individuals with a variety of technical experience to encourage growth and development
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Effective delivery within large organizational structures:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work within the established organizational structure to effectively deliver defined outcomes
  </li>
  <li>
   Help manage messaging within Qiddiya to ensure Implementation is providing a trusted service
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   <br/>
  </li>
 </ul>
 <strong>
  Team collaboration:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
  </li>
  <li>
   Communicate and collaborate with other team members, adjacent teams, and external partners, such as consultants
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Degree educated in information services and/or data analytics
  <br/>
  <br/>
 </strong>
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  Established experience of working as part of an owner's team on solutions for large and complex organizations
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  <br/>
 </strong>
 <strong>
  Preferred Backgrounds
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent communication, presentation, and interpersonal skills
  </li>
  <li>
   Fluency in using Microsoft Office
  </li>
  <li>
   Have high ability to work individually and collaboratively with others
  </li>
  <li>
   Have high ability to work effectively under pressure and meet established goals and objectives within the specified deadline
  </li>
  <li>
   Highly motivated and a strong drive to learn including independent learning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to all aspects of the development business
  </li>
  <li>
   Opportunity to shape large datasets and implement innovative analytical solutions
  </li>
  <li>
   Opportunity to help develop a team with strong core technical skills
  </li>
  <li>
   Long term appointment
  </li>
 </ul>
</div>


Manager - Data Modeling CDUP2086

Datamatics Global Services Ltd

<div><b>Job Description &ndash; 1 x Data Modeller (Erwin Data Modeler)</b><br>
<b>Location: Abudhabi - UAE - Onsite</b><br>
<b>Open to Relocate</b><br>
<b>Duration: 6 months ( Extendable to One Year)</b><br>
<b>Experience: 5 to 7 Years</b><br>
<b>Project start date is 1st July - Immediate joiners will be preferred</b><br>
<br>
<b>Role Overview</b><br>
The Data Modeller will be responsible for establishing and managing the enterprise data modelling capability for ADC using Erwin Data Modeler. The role will lead the design and delivery of authoritative data register models across conceptual, logical, and physical layers while ensuring alignment with government data standards, enterprise architecture requirements, and target platform implementations.<br>
<br>
<b>Key Responsibilities</b><br>
<b>Erwin Environment Setup and Governance</b><ul><li>
Configure and administer the Erwin Data Modeler environment for ADC.</li><li>
Establish and maintain the Erwin Mart repository for version-controlled storage of all Data Domain Model (DDM) artefacts.</li><li>
Implement DDA-approved modelling standards, naming conventions, and notation frameworks.</li><li>
Validate accessibility and operational readiness of the modelling environment for both onshore and offshore delivery teams.</li></ul><b>
Authoritative Data Register Definition</b><ul><li>
Facilitate stakeholder workshops to identify, scope, and define authoritative data registers.</li><li>
Document domain boundaries, business definitions, ownership, stewardship responsibilities, and relationships with upstream and downstream systems.</li><li>
Produce Authoritative Data Register Definition Packs for each register.</li></ul><b>
Conceptual, Logical and Physical Data Modelling</b><ul><li>
Develop conceptual data models representing high-level entities, relationships, and business rules.</li><li>
Produce supporting Data Requirements Specifications for each conceptual model.</li><li>
Develop logical data models defining entities, attributes, relationships, cardinality, and data types.</li><li>
Ensure traceability between conceptual and logical models using Erwin traceability features.</li><li>
Develop physical data models aligned to ADC&rsquo;s target architecture, including:<ul><li>
IBM DB2 Warehouse schemas.</li><li>
Databricks Delta Lake structures supporting Bronze, Silver, and Gold data pipelines.</li></ul></li><li>
Reverse engineer existing DB2 database structures where required to support reconciliation between current and target-state designs.</li></ul><b>
Data Traceability and Standards Alignment</b><ul><li>
Maintain complete traceability between approved register definitions and conceptual, logical, and physical models.</li><li>
Manage DDM ID Mapping Tables and Erwin Mart version logs.</li><li>
Align data models with the Unified Data Model (UDM) and Government Information Model (GIM).</li><li>
Maintain the GIM/UDM Alignment Register and identify gaps, conflicts, or enhancement opportunities.</li></ul><b>
Integration with Enterprise Data Governance</b><ul><li>
Collaborate with Data Catalogue Specialists to ensure data structures are accurately represented in Microsoft Purview.</li><li>
Support glossary alignment, schema consistency, metadata accuracy, and lineage requirements.</li><li>
Ensure authoritative register entities and attributes are consistently represented across modelling and catalogue platforms.</li></ul><b>
Review, Approval and Compliance</b><ul><li>
Prepare modelling artefacts for formal DDA review and approval.</li><li>
Produce Modelling Approval Packages including:<ul><li>
Erwin exports.</li><li>
DDM ID Mapping Tables.</li><li>
Data Requirements Specifications.</li><li>
GIM/UDM Alignment Register.</li></ul></li><li>
Manage review cycles, incorporate feedback, and maintain version control until formal sign-off is achieved.</li></ul><b>
Physical Model Controls</b><ul><li>
Ensure all physical models include audit columns, logging requirements, and error-handling specifications.</li><li>
Validate physical model structures against Databricks pipeline implementation requirements and enterprise data governance standards.</li></ul><b>
Required Skills and Experience</b><ul><li>
Extensive experience with Erwin Data Modeler and Erwin Mart.</li><li>
Strong background in conceptual, logical, and physical data modelling.</li><li>
Experience with enterprise data governance and metadata management frameworks.</li><li>
Knowledge of IBM DB2 Warehouse and Databricks Delta Lake architectures.</li><li>
Experience implementing data modelling standards and traceability controls.</li><li>
Strong stakeholder engagement and workshop facilitation skills.</li><li>
Understanding of government data standards, information models, and enterprise architecture practices.</li></ul><b>
Deliverables</b><ul><li>
Erwin Mart repository and modelling standards configuration.</li><li>
Authoritative Data Register Definition Packs.</li><li>
Conceptual, logical, and physical data models.</li><li>
Data Requirements Specifications.</li><li>
DDM ID Mapping Tables.</li><li>
GIM/UDM Alignment Register.</li><li>
Modelling Approval Packages and DDA sign-off artefacts.</li></ul><p>
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Data Modeller (Erwin Data Modeler)

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