data lead

L&T Technology Services Ltd.

<div><div><div>Data Lead - RDSPP</div><p>LNT/DL-R/1683782</p><ul>
HYDR-L&amp;T Energy - HydrocarbonAMN Tower, Powai</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
23 Feb 2026</div></div></div><div><div><div>
End Date</div><div>
22 Aug 2026</div></div></div><div><div><div>
Required Experience</div><div>
5 - 25 Years</div></div></div></ul></div></div></div></div>
<br><div><div><div>Skills</div></div><div><div><p>
Knowledge &amp; Posting Location</p><div></div><div><div>
 COMMUNICATION
 </div><div></div><div>INFORMATION MANAGEMENT
</div></div></div><div><p>Minimum Qualification</p><div><p>
BACHELOR OF ENGINEERING (BE)</p></div></div></div></div>
<br><div><div><div>Job Description</div></div><div><p>
Roles &amp; Responsibilities: -</p><ul><li>
Support in defining, implementing the information management processes in alignment with Project objectives, ensuring accurate, consistent, and accessible project data across all engineering disciplines.</li><li>
Shall be aware of RDS-PP (Reference Designation System for Power Plant) in accordance with IEC-81346, in conjunction with the VGB standard, for the systematic classification of systems and assets within power plant engineering.</li><li>
Support for all project requirements related to RDS-PP and Object Type Library (OTL); built and led a cross-functional team comprising data coordinators and engineering discipline focal points to drive the successful implementation of RDS-PP and OTL standards throughout the EPC project lifecycle.</li><li>
Ensure / update Asset tagging and numbering philosophies into a comprehensive and practical project RDS-PP Plan, ensuring seamless alignment with contractual and technical requirements.</li><li>
Collaborate with the Corporate IT team to evaluate market solutions and successfully implement the &ldquo;Doc-Console&rdquo; application, enabling tag hot spotting within engineering and supplier documents to support asset register creation and enhance commissioning and completion activities. This initiative significantly reduced manual effort while improving data integrity and overall project efficiency.</li><li>
Develop a unified Physical Labelling Guideline, transforming diverse client inputs into a clear, standardized document governing physical asset labelling across the project.</li><li>
 Collaborate with project quality team, suppliers, and subcontractors to implement physical labelling requirements, resolving technical and operational challenges to ensure full project compliance.</li><li>
Ensured tag and data consistency across models, drawings, documents, physical labelling and specifications to deliver accurate as-built 3D BIM models containing both geometric and alphanumeric information, thereby enabling the client to effectively utilize the models for facility operations and maintenance.</li></ul></div></div>

Data Lead - RDSPP

Hexaware Technologies

Role Information Delivery &amp; Visualization Lead Responsibilities Design &amp; develop industry-leading data visualizations based on an understanding of common and more fine-grained data visualization/representation challenges, data problems, and eventually, relating to the use cases of customers. Understands the tradeoffs between graphics paradigms and speaking multiple visualization grammars, and how they relate to the data customer has and that they are trying to represent. Lead data-driven decision making with the team about which languages, frameworks, and libraries they should use to visualize customer data that is best matched to the twin challenges of exploratory data analysis and analytic presentation. Understand business requirements in BI context and design data models to transform raw data into meaningful insights using sound conceptual knowledge in Business Intelligence , DWH (star/snow flake etc.,) Identify key performance indicators (KPIs) with clear objectives and consistently monitor those &amp; developing innovative visualizations

Big Data Lead

Thales

<div>
 Location: Abu Dhabi, United Arab Emirates
 <br/>
 <br/>
 Thales people architect solutions that enable two-thirds of planes to take off and land safely. We create in-flight entertainment systems that engross 50 million fliers every year and we develop the avionics that control the world&rsquo;s largest commercial aircrafts. Our simulators train the next generation of pilots for fighter jets, transporters and search and rescue helicopters. And, together, each and every member of our aerospace team makes a difference.
 <br/>
 <br/>
 Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi&rsquo;s airport.
 <br/>
 <br/>
 Thales AGS Trading is a specialized division within the Thales Group, operating in the aviation aftermarket with a core focus on Used Serviceable Material (USM). AGS Trading aims to deliver a premium service solution, which offers airlines, MROs, and other aviation stakeholders, a cost-effective solution to maintain their fleet in operational condition by selling serviceable high-quality aircraft components for commercial programs.
 <br/>
 <br/>
 Operating in a fast-paced and competitive trading environment, AGS Trading team leverages data to drive agility, efficiency, and customer satisfaction.
 <br/>
 <br/>
 This position of Enterprise Data Lead is based in Abu Dhabi, UAE and reports to the General Manager of AGS Trading.
 <br/>
 <br/>
 The position owner will:
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with procurement, supply chain, finance, sales, compliance, and IT, as well as with external vendors and implementation partners.
  </li>
 </ul>
 <ul>
  <li>
   Act as the central point of accountability for the Thales AGS Trading data ecosystem, covering ERP administration, data platforms, data analytics, integrations, and governance:
  </li>
  <ul>
   <li>
    Overseeing of system configuration, user access, and data integrity, while coordinating with ERP vendor technical support to resolve incidents, deploy fixes, and manage upgrades
   </li>
   <li>
    Ensuring smooth change management through UAT, testing, and compliance with internal controls.
    <br/>
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Engage stakeholders to understand priorities, translate them into scalable solutions, and ensure the timely delivery of reliable insights.
  </li>
  <ul>
   <li>
    Driving cross-functional collaboration to align data initiatives with business outcomes, strengthen governance and data quality.
   </li>
   <li>
    Promotion of continuous improvement through automation, knowledge sharing, and best practices.
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Roles &amp; Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Acting as the strategic owner of enterprise data systems, ensuring all platforms are maintained and evolved in alignment with business requirements. Provide leadership in shaping the overall data ecosystem and driving its continuous improvement.
  </li>
  <li>
   Overseeing ERP administration
  </li>
  <ul>
   <li>
    Manage user access controls, cloud-based system configurations, and data extraction using SQL queries across key modules (Inventory Management, Accounting, Sales, Procurement, Repair, etc.).
   </li>
   <li>
    Build and maintain Event Managers within the ERP that send timely alerts and notifications to relevant users.
   </li>
   <li>
    Build and maintain custom ERP forms (such as Customer Quote, Sales Order Acknowledgment, Purchase Order, Financial Invoice, Custom Invoice etc.) that are actively used by relevant teams during day-to-day operations.
   </li>
   <li>
    Use the Screen Editor tool to apply regulations and field-level controls within ERP that ensure the system interface aligns with business requirements.
   </li>
   <li>
    Verify bulk data accuracy and perform imports into the ERP,
   </li>
   <li>
    Actively collaborate with the Technical Support team to resolve critical issue in a timely manner.
    <br/>
    <br/>
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Collaboration with internal cross-functional stakeholders to gather business requirements, translate them into data driven solutions that supports operational excellence and strategic goals.
  </li>
  <li>
   Designing, developing, enhancing, and maintenance of:
  </li>
  <ul>
   <li>
    Automated pipelines (using SQL/Python) and workflows to fetch and integrate raw data from multiple sources in real time into various reports and decision-making tools.
   </li>
   <li>
    Dashboards and predictive models that translate complex data into insights, which provide decision-making, cross-functional support.
   </li>
  </ul>
  <li>
   Creation and maintenance of comprehensive documentation, training materials, and structured knowledge repositories to enable smooth adoption of PBI reports and dashboards. Delivery of training sessions and knowledge transfer programs to build capability and ensure business continuity.
  </li>
  <li>
   Leading Procurement Campaigns and FMV Analytics by managing end-to-end campaign activities including launching campaigns, consolidating and cleaning supplier responses, updating dashboard with validated data, and applying advanced analytical model forecast FMV. Import campaign data and FMV outputs into the ERP within relevant modules/fields to ensure seamless integration and visibility for the users.
  </li>
  <li>
   Leading digital transformation and modernization initiatives (AGS Trading Marketplace &amp; Cloud Migration) to improve processes efficiency ensure data security, workflow optimization, and automation.
  </li>
  <li>
   Collaboration with:
  </li>
  <ul>
   <li>
    Trade Compliance, Export Control department and CRM tech support team to ensure full compliance across Trading operations (Company/PN validation and approval).
   </li>
   <li>
    IS/IT Team to safeguard Thales IT policies and regulatory requirements while mitigating risks associated with data integrity and security.
   </li>
  </ul>
  <li>
   Overseeing data quality frameworks by establishing clear processes within ERP ensuring clean and reliable data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Engineering, or related field.
  </li>
  <li>
   8&ndash;10 years of professional experience in data engineering, ERP systems, and data analytics.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages &amp; Frameworks: Python, SQL, PySpark, DAX
  </li>
  <li>
   Data Engineering: ETL Pipelines, Data Modeling, Data Integration, API (REST/GraphQL), Talend
  </li>
  <li>
   Databases: Oracle, SQL Server
  </li>
  <li>
   Business Intelligence: Power BI, Tableau
  </li>
  <li>
   ERP Systems: Oracle-based ERP (Quantum Control) &ndash; Configuration, Administration, and Integration
  </li>
  <li>
   Cloud Platforms: Microsoft Azure
  </li>
  <li>
   Advanced Analytics: Predictive Modeling, Statistical Analysis, Machine Learning Algorithms
  </li>
  <li>
   Automation &amp; Tools: Power Automate, Event Manager
  </li>
  <li>
   Data Governance: Data Quality Management, Validation Rules
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of procurement, supply chain, finance, and sales functions
  </li>
  <li>
   Ability to bridge business requirements with technical solutions
  </li>
  <li>
   Excellent stakeholder engagement, communication, and presentation skills
  </li>
  <li>
   Result-oriented mindset with the ability to deliver under pressure and tight deadlines
  </li>
  <li>
   Demonstrated experience working in diverse, cross-functional, and multicultural Team
  </li>
  <li>
   Experience in the aerospace industry or trading domain is an advantage
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
</div>


Enterprise Data Lead

Alignerr

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 <br/>
 <br/>
 As a Precision Medicine Data Lead, you will guide how complex healthcare and genomic data is brought together, governed, and transformed into insights that enable personalized treatment strategies and advanced clinical research.
 <br/>
 <br/>
 <strong>
  Organization
 </strong>
 : Alignerr
 <strong>
  Position
 </strong>
 : Precision Medicine Data Lead
 <strong>
  Type
 </strong>
 : Hourly Contract
 <strong>
  Compensation
 </strong>
 : $40&ndash;$80 /hour
 <strong>
  Location
 </strong>
 : Remote
 <strong>
  Commitment
 </strong>
 : 10&ndash;40 hours/week
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
  </li>
  <li>
   Lead analytical strategies that convert integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives.
  </li>
  <li>
   Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and organizational goals while clearly communicating results to stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
  </li>
  <li>
   Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences.
  </li>
  <li>
   Ability to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience with data annotation, data quality, or evaluation systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive pay and flexible remote work.
  </li>
  <li>
   Lead a team working on cutting-edge AI projects.
  </li>
  <li>
   Exposure to advanced LLMs and how they&rsquo;re trained.
  </li>
  <li>
   Freelance perks: autonomy, flexibility, and global collaboration.
  </li>
  <li>
   Potential for contract extension.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Process (Takes 15-20 min)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Submit your resume
  </li>
  <li>
   Complete a short screening
  </li>
  <li>
   Project matching and onboarding
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 </em>
</div>


Precision Medicine Data Lead

Algo

<div><p>Job title: Data Engineer Lead<br>
Location: DHA Phase-8, Lahore (on-site)<br>
<br>
<b>Job Description
</b><br>
<b>Job Responsibilities:
</b></p><div><ul><li>Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow</li></ul>
<ul><li>Develop, test, and deploy Python-based data processing solutions</li></ul>
<ul><li>Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs</li></ul>
<ul><li>Write complex and optimized SQL queries for data transformation and extraction</li></ul>
<ul><li>Ensure data quality, accuracy, and compliance with internal and external standards</li></ul>
<ul><li>Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows</li></ul>
<ul><li>Utilize version control (Git) and CI/CD pipelines for code deployment and process automation</li></ul>
<ul><li>Lead and mentor team of data engineers, delivering robust data solutions that improve forecasting and operational efficiency.</li></ul></div><br>
<p><br>
<b>Qualifications Needed:
</b></p><ul><li>Python</li></ul>
<ul><li>SQL</li></ul>
<ul><li>Snowflake</li></ul>
<ul><li>Databricks</li></ul>
<ul><li>Azure (or AWS)</li></ul>
<ul><li>ETL/ELT</li></ul>
<ul><li>ADF / Apache Airflow</li></ul>
<ul><li>Data Warehousing</li></ul>
<ul><li>Git</li></ul>
<ul><li>CI/CD</li></ul></div>

Data Engineer Lead

Kenvue

<div><div><div><div><div><div><div><div><p>Kenvue is currently recruiting for a:</p></div></div></div></div></div></div></div>
Data Engineering Lead<p></p><p><b>
What we do</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.</p><p></p><p><b>
Who We Are</b></p><p>
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p></p><p><b>
Role reports to:</b></p>
Data Engineering Manager<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Karnataka, Bangalore<p></p><p><b>
Work Location:</b></p>
Hybrid<p></p><p><b>
What you will do</b></p><p>
As a Lead Data Engineer, you will Lead a team responsible for the build, enhancements, and optimization of modern data solutions and analytical products across the Azure Data Platform. You&rsquo;ll design and manage robust data pipelines (Azure Data Factory, Azure Databricks, Data Lake, Spark.,SQL, Posgres) You will collaborate closely with business stakeholders, data engineers, and data scientists to maintain reliable, secure, and scalable data products that drive decision-making&mdash;particularly within Supply Chain and CPG contexts.</p><p></p><p><b>
Key Responsibilities:</b></p><p></p><p><br>
Data Engineering &amp; Platform Operations</p><ul><li>Design\Architect, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.</li><li>Build, scale, and harden data pipelines (internal &amp; external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL\Posgres</li><li>Good understanding of different tools like Microsoft Fabric, Graph databases (Neo4J)</li></ul><ul><li><p>
Deploy data pipelines into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.</p></li><li><p>
Mentor and Build a Data Engineering Support team composed of Data Engineering Resources</p></li></ul><ul><li>Own automation, observability, and monitoring frameworks&mdash;capturing operational KPIs and data quality metrics; set up alerting and runbooks.</li><li>Monitor performance &amp; stability, triage incidents, and adapt pipelines as data/models/requirements evolve.</li><li>Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.</li></ul><ul><li><p>
Work with the Data Asset and Capability teams to identify the right data sources and understand and build and support the data architectures for optimal data extraction and transformation for key business processes.</p></li><li><p>
Test the reliability and performance of data engineering pipelines and support testing team with data validation activities</p></li><li><p>
Partner with various Azure Engineering subject matter experts including project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts</p></li><li><p>
Research and cultivate in state-of-the-art data engineering methodologies, drive product innovation, and act as an Azure subject matter expert for other engineers</p></li><li>Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.</li></ul><p><b>
Required Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, Data Analytics, IT, or related field.</li><li>6-8 years of relevant experience across Azure Data Engineering and Power BI.</li><li>Hands-on expertise with:</li></ul><p>
o Azure Databricks (PySpark/Spark SQL)\Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL\Posgres</p><p>
o Data modelling, Performance Tuning</p><p>
o SQL/T-SQL (complex queries, stored procedures)</p><ul><li><p>
Experience of leading a Data Engineering team</p></li><li><p>
Good scripting, data modeling and programming skills</p></li><li><p>
Understanding of cloud architecture principles and best practices</p></li><li><p>
Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards</p></li><li><p>
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines</p></li></ul><p></p><p><b><br>
Desired Qualifications</b></p><ul><li>Certifications:</li></ul><p>
o Microsoft Certified: Azure Data Engineer Associate (DP-203)</p><p>
o Databricks Data Engineer Associate/Professional</p><ul><li><p>
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines</p></li></ul><ul><li>Experience with migration &amp; modernization (from legacy ETL/BI to Azure-native).</li><li>Preferred CPG/Supply Chain domain expertise.</li><li><p>
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines</p></li></ul><p></p><p>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</p></div>

Data Engineering Lead

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p><b>
Job Summary</b><br>
We are seeking a passionate and talented <b>Data Scientist Lead</b> to join our dynamic team.</p><p>
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.</p><p></p><p>
Key Responsibilities:
</p><ul><li>Lead, coach, and mentor junior and mid-level data scientists through regular feedback, code reviews, and technical guidance.
</li><li>Define and enforce technical standards and best practices across modeling, experimentation, documentation, and deployment.
</li><li>Own the end-to-end data science lifecycle, from problem framing and data exploration to modeling, validation, and production deployment.
</li><li>Design and deliver machine learning and predictive models aligned with business priorities, while partnering with product, engineering, and business stakeholders.
</li><li>Review and approve modeling approaches and performance metrics, translate insights for non-technical audiences, support team growth, and drive adoption of emerging AI/ML techniques.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li>
7+ years of experience in Data Science and Machine Learning, with proven team leadership and mentoring experience.
</li><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.
</li><li>Solid foundation in statistics, experimentation design, and model evaluation techniques.
</li><li>Proven experience deploying and maintaining machine learning models in production environments.
</li><li>Excellent communication, leadership, and stakeholder management skills.</li></ul></div><p></p>

Data Scientist Lead

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