data platform manager

Saudi Air Navigation Services

<div>
 
 Description for Internal Candidates
 
 
 
 
 
 
 Role Purpose
 
 
 
 To set strategic actions for activating and operating the company&rsquo;s analytics data platform and data management functions in order to ensure the delivery of a robust, scalable, and secure analytics data infrastructure while achieving compliance with data management regulations and best practices within the set KPIs, agreed budgets, and adopted policies and procedures.
 
 
 
 
 
 Responsibilities for Internal Candidates
 
 
 
 
 
 
 Key Accountability Areas
 
 
 
 
 Key Activities
 
 
 
 Strategic Leadership
 
 <ul>
 <li>
 Support data management director in the development of vision, goals, and roadmap for the data management and Analytics data platform departments.
 </li>
 <li>
 Foster a culture of innovation, collaboration, and continuous improvement within managed teams.
 </li>
 <li>
 Ensure effective resource allocation, workload balancing, and prioritization across teams to derive the directorate strategic agenda
 </li>
 <li>
 Act as a bridge between technical teams and business stakeholders to ensure data platform and data management strategic initiatives deliver measurable business value in reference to organizational goal.
 </li>
 <li>
 Provide strategic oversight and governance for the end-to-end management of the PMO office established to implement Saudi government data management regulations (e.g., SDAIA, NDMO, NCA) across the enterprise.
 </li>
 <li>
 Steer the implementation of Saudi government data regulations and controls across all data management and governance domains, ensuring adherence to SDAIA, NDMO, and NCA standards.
 </li>
 <li>
 Stay abreast of evolving data regulations and ensure the organization&rsquo;s data management practices remain compliant and future-ready.
 </li>
 <li>
 Oversee the discovery and back-end requirements planning processes for analytics use-cases that can be supported using the data platform
 </li>
 <li>
 Lead the development of strategic initiatives and roadmaps for the continuous improvement of the enterprise data management domain, ensuring alignment with organizational goals.
 </li>
 </ul>
 
 Planning &amp; Strategy
 
 <ul>
 <li>
 Contribute to the design and implementation of the department&rsquo;s strategy and roadmap by providing function-specific inputs
 </li>
 <li>
 Establish and implement the function&rsquo;s operational plans in support of the department&rsquo;s overall strategic plan and KPIs
 </li>
 </ul>
 
 Budget
 
 <ul>
 <li>
 Participate in Department annual budgeting cycle and process
 </li>
 <li>
 Contribute to utilizing Department&rsquo;s budget effectively, and report accurately on progress made and challenges encountered
 </li>
 <li>
 Investigate and propose implementing strategies that result in positive financial impact for SANS and mitigate financial and operational risks
 </li>
 </ul>
 
 Operational Leadership
 
 
 
 <ul>
 <li>
 Lead, mentor, and develop a range of engineering roles including Data engineers, Analytics solutions software developers, Analytics solutions architects, infrastructure and network engineers and data management operations specialists.
 </li>
 <li>
 Ensure department on-the-job training, mentoring and coaching programs are executed successfully
 </li>
 <li>
 Provide direction, prioritize tasks, assign and delegate responsibility and monitor the workflow with assigned sections team leads.
 </li>
 <li>
 Promote a high-performance working environment embracing SANS&rsquo;s values
 </li>
 <li>
 Ensure regular performance reviews and coaching is provided to development team leads and teams members.
 </li>
 <li>
 Ensure training programs is facilitated with HR directorate and external parties to elevate department employees competencies and skills.
 </li>
 <li>
 Work with supervisors to define career ladders for all managed engineering roles under the data platform and data management teams, ensuring clarity on expectations and growth opportunities
 </li>
 <li>
 Compile and share department productivity reports and projects pipeline state to director and c-suite stakeholders.
 </li>
 <li>
 Recruit, onboard, and retain top talent for the department.
 </li>
 <li>
 Address conflicts or performance issues promptly and constructively, ensuring a positive and productive work environment
 </li>
 <li>
 Prioritize the needs of the team, removing obstacles and providing the support they need to succeed
 </li>
 </ul>
 
 C-Suite Communication
 
 
 
 <ul>
 <li>
 Generate and present regular reports on data platform and data management initiatives to senior leadership.
 </li>
 <li>
 Build strong relationships with cross-functional operational managers to ensure alignment and collaboration on strategic data platform and data management initiatives.
 </li>
 <li>
 Educate managerial stakeholders on data platform and data management stack best practices and utility.
 </li>
 <li>
 Advocate for the value of analytics and data management solutions and secure buy-in for new initiatives and investments.
 </li>
 <li>
 Manage leadership expectations and ensure timely delivery of data platform and data management projects.
 </li>
 <li>
 </li>
 </ul>
 
 Bespoke Analytics solutions development management
 
 <ul>
 <li>
 Provide guidance to Analytics solutions developers team leads to deliver high quality data products that adheres to best practices.
 </li>
 <li>
 Champion the development and implementation of software development frameworks and operating model modules and planning interfaces.
 </li>
 <li>
 Work with c-suite and executives to identify strategic data products needs.
 </li>
 <li>
 Regularly engage with leadership and managerial stakeholders to gather feedback and validate that deployed analytics solutions meet their needs
 </li>
 <li>
 Monitor value metrics encompassing the full cycle of envisaged and developed Analytics solutions.
 </li>
 <li>
 Conduct regular team health checks or surveys to identify areas for improvement in team dynamics and morale
 </li>
 <li>
 Continuously identify strategic opportunities for analytics solutions where value can be added to the operational business domain.
 </li>
 <li>
 Work with reporting sections team leads to ensure analytics solutions are scalable, reliable, and aligned with business needs.
 </li>
 <li>
 Develop strategy and roadmap for analytics solutions custom software while ensuring that defined path is consistent with the enterprise and directorate vision.
 </li>
 </ul>
 
 Engineering management
 
 <ul>
 <li>
 Oversee the implementation of agile methodologies and project management frameworks to streamline reporting team operations and improve delivery timelines.
 </li>
 <li>
 Provide strategic direction for the Data platform&rsquo;s architecture, ensuring it is scalable, secure, cost-effective, and compliant with governance standards
 </li>
 <li>
 Collaborate with enterprise architecture leaders to align engineering efforts with broader enterprise technology strategies.
 </li>
 <li>
 Guide the development of the enterprise data management technology stack
 </li>
 <li>
 Conduct regular system reviews to identify bottlenecks, inefficiencies, and areas for improvement in the data platform and analytics solutions architecture
 </li>
 <li>
 Establish and enforce engineering best practices, including DevOps, CI/CD pipelines, version control, code reviews, and testing protocols, across data platform engineering and development teams.
 </li>
 <li>
 Monitor project progress, identify risks, and implement mitigation strategies to ensure on-time and high-quality delivery of analytics projects.
 </li>
 <li>
 Develop and execute a strategy to manage technical debt, prioritizing refactoring, documentation, and process improvements across data platform engineering and development teams.
 </li>
 </ul>
 
 Innovation and continuous improvement
 
 <ul>
 <li>
 Stay informed about emerging technologies, tools, and methodologies in data engineering and management.
 </li>
 <li>
 Support Piloting and implement new tools and techniques to enhance team productivity and solution quality.
 </li>
 <li>
 Encourage experimentation and innovation within the teams to solve business challenges creatively.
 </li>
 <li>
 Benchmark analytics practices against industry standards and implement improvements as needed.
 </li>
 <li>
 Promote knowledge sharing and cross-team collaboration to foster a learning environment.
 </li>
 <li>
 Organize regular knowledge-sharing sessions, hackathons, or innovation days to encourage creativity and skill development.
 </li>
 <li>
 Provide access to training, conferences, and certifications to help team members stay ahead of industry trends
 </li>
 </ul>
 
 Policies, Processes and Procedures
 
 <ul>
 <li>
 Propose improvements to Department&rsquo;s policies, and ensure the implementation of procedures and controls across all areas of activity so that all relevant procedural/legislative requirements are fulfilled while delivering high quality and cost-effective results
 </li>
 <li>
 Monitor day-to-day activities to ensure compliance with stipulated policies and procedures
 </li>
 <li>
 Stimulate subordinates and contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement
 </li>
 </ul>
 
 People Management
 
 <ul>
 <li>
 Manage, guide and assist direct reports to perform their functional operations in accordance with set policies and procedures
 </li>
 <li>
 Participate in identifying and recruiting key talent for Department
 </li>
 <li>
 Promote a high-performance working environment embracing SANS&rsquo;s values
 </li>
 </ul>
 
 
 
 
 Qualifications for Internal Candidates
 
 
 
 
 
 
 Knowledge and Experience
 
 
 <ul>
 <li>
 Minimum 9 years of experience in a similar technology role, with at least 4 years of experience in a managerial position.
 </li>
 </ul>
 
 
 Desirable:
 
 
 <ul>
 <li>
 Referenced hands-on experience: team lead or unit manager/supervisor managing people in a technology or data engineering context or Data platform implementation projects or operations.
 </li>
 <li>
 hands on experience with popular SaaS services for database, developer and analytics (GCP, AWS or Azure), and task management tools (JIRA, Microsoft Azure DevOPS boards).
 </li>
 <li>
 Strong grasp on DevOps CICD, version controlling, Git, observability and telemetry practices, tooling and concepts, and Agile frameworks, and data modeling, warehousing, big data technologies, and cloud computing.
 </li>
 <li>
 Practical exposure to the following distributed storage systems: HDFS, HBase, Apache Ozone, APACHE SOLR.
 </li>
 </ul>
 
 
 Education and Certifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Engineering, Computer science, Cybersecurity, Information Technology or equivalent is required.
 </li>
 </ul>
 
 
</div>

Data Platform and Management Manager

Flutter Entertainment

<div><div><div>ABOUT FLUTTER ENTERTAINMENT
</div><div>Flutter Entertainment is the world&rsquo;s largest sports betting and iGaming operator with 13.9 million Average Monthly Players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet.
</div><div>Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME&rsquo;s 100 Most Influential Companies under the 'Pioneers' category&mdash;a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game.
</div><div>Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed.
</div><div></div><div>FLUTTER ENTERTAINMENT INDIA
</div><div>Our Hyderabad office, located in one of India&rsquo;s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions.
</div><div>We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we&rsquo;re dedicated to creating a brighter future for our customers, colleagues, and communities.
</div><div></div><div>OVERVIEW OF THE ROLE
</div><div>We are looking for a Senior Engineering Manager to join the Data and Platforms team within Flutter Functions Global Platforms department.
 
Working for the Director of Data you&rsquo;ll be leading Data Platform Enablement across Flutter Functions. This involves leading a squad of engineers whose remit will be enabling the data platform to support use-cases for all of Flutter Functions use-cases ranging from Global Sportsbook and Trading which operates at the forefront of our global sportsbook capability through supporting our Enterprise Tech team and to traditional central teams such as Finance and HR.
 
In addition to running the engineering squad the roles will be responsible for ensuring that data engineering is represented in the Product Development Lifecycle and enabling software product teams to operate on the platform adhering to standards, policies and patterns to be defined. There will be a responsibility to support the inner source nature of the data platform which will involve collaboration across all of flutters brands.
In this role, you will be responsible for hiring, performance appraisal, and rewarding your team, focusing on helping them define their career paths and achieve their short and long-term goals. Using lean and agile methodologies, you will oversee the pace, scale, and performance of your team&rsquo;s delivery in a multi-team, multi-location environment.
This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern offices. These discussions are between you and your manager to find the best pattern for you both! We will kit you out to work from home but know that working as a team is what makes us great and spending quality time together is essential for keeping us mission aligned.
If you are a passionate leader of people with a data engineering background, you have the chance to be part of a team that looks to build out our next-generation data platform, leveraging new technologies and techniques to maximize the business value out of our data assets and empower innovation.
</div><div></div><div>KEY RESPONSIBILITES 
</div><div>Leadership &amp; People:
<ul><li>Ability to influence senior stakeholders across Flutter Functions and global brands.
</li><li>Ability to manage other engineering managers.
</li><li>Nature a culture of high-quality, results-oriented delivery with accountability.
</li><li>Ensure all team members have a clear understanding of priorities and expectations by facilitating regular communication and alignment, and by holding planning sessions at the right time and regular retrospectives to maintain focus and efficiency.
</li><li>Coach team members through regular 1:1s, set and review objectives, appraise performance, and assist with career development, ensuring effective performance management.
</li><li>Proactively identify and lead on initiatives to improve the experience of being an engineer in GTT; whether that is to do with productivity, diversity and inclusion, technical competence or other areas.
</li><li>To allow the tribe to grow, work with Talent Teams and other leaders to recruit the best people for your squad.
</li></ul>Data Engineering:
<ul><li>Lead the design and implementation of scalable and reliable data infrastructure and pipelines that support business objectives, including greenfield projects.
</li><li>Ensure data integrity, availability, and security through best practices in data engineering.
</li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet these needs.
</li><li>Drive innovation in data processing, storage, and retrieval technologies to enhance data accessibility and usability.
</li><li>Implement and maintain data solutions in greenfield environments, bringing fresh ideas and approaches to new projects.
</li><li>Write, oversee and coordinate with team members and subject experts to ensure the maintenance of accurate and effective documentation.
</li></ul>Delivery:
<ul><li>Bring value to stakeholders by working closely with Product and Delivery to determine the best strategy to deliver the roadmap.
</li><li>Balance the commercial needs of the business against the ideal technical design, proposing strategic and pragmatic implementations with clear delivery plans, including accurate and realistic estimation of time, to ensure successful execution.
</li><li>Regularly communicate the status of delivery to stakeholders, clearly highlighting any risks and potential impacts, and proactively develop mitigation strategies to ensure successful outcomes.
</li><li>Ensure quality is a first-class citizen in the engineering process and work closely with the QA capability within the squad and wider team to meet the quality demands of the business.
</li><li>Measure and review delivery velocity, quality, lead and cycle-times regularly, and promptly address any issues that arise.
</li><li>Support changes in the business, including adjustments to roadmap priorities and squad configurations, ensuring seamless transitions and continued alignment with overall business objectives.
</li><li>Proactively conduct research on emerging technologies and help introduce these where appropriate. 
</li></ul> 
Ownership:
<ul><li>Take responsibility for the solution and remove obstacles for the team.
</li><li>Work with your squad to develop and implement real-time monitoring, good alert design and first-rate logging strategies to easily check health and availability of services.
</li><li>Where required ensure 24/7 operational support of our Data products.
</li><li>Work closely with the other GTT squads to ensure alignment of roadmaps through understanding of dependencies.
</li></ul></div><div></div><div>TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE
</div><div><ul><li>Extensive experience in data engineering, with a proven track record of leading and managing multi-disciplinary teams delivering complex data projects, including greenfield projects.
</li><li>Ability to influence and drive change across the department, advocating for necessary improvements and investments.
</li><li>Can lead technical discussions, inspire the team, and drive towards technical excellence, ensuring high-quality outcomes.
</li><li>Understanding of data governance, privacy, and compliance regulations (e.g., GDPR).
</li><li>Exceptional communication and stakeholder management skills to engage, negotiate, and collaborate effectively throughout the product lifecycle, ensuring successful outcomes.
</li><li>Experience leading people and supporting their career development plans.
</li><li>Demonstrated expertise in fostering and advancing a collaborative team culture.
</li><li>Strong analytical and diagnostic skills, particularly concerning technical risks, issues, and constraints.
</li><li>Senior principles, leading by example, showing work ethic and passionate professional attitude.
</li></ul></div></div><div></div><div><div>BENEFITS WE OFFER
</div><div><ul><li>Access to Learnerbly, Udemy , and a Self-Development Fund for upskilling.
</li></ul></div><div><ul><li>Career growth through Internal Mobility Programs .
</li></ul></div><div><ul><li>Comprehensive Health Insurance for you and dependents.
</li></ul></div><div><ul><li>Well-Being Fund and 24/7 Assistance Program for holistic wellness.
</li></ul></div><div><ul><li>Hybrid Model : 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals.
</li></ul></div><div><ul><li>Free Meals, Cab Allowance , and a Home Office Setup Allowance.
</li></ul></div><div><ul><li>Employer PF Contribution , gratuity, Personal Accident &amp; Life Insurance.
</li></ul></div><div><ul><li>Sharesave Plan to purchase discounted company shares.
</li></ul></div><div><ul><li>Volunteering Leave and Team Events to build connections.
</li></ul></div><div><ul><li>Recognition through the Kudos Platform and Referral Rewards .
</li></ul></div><div></div><div>WHY CHOOSE US
</div><div>Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India</div></div></div>

Senior Engineering Manager - Data Enablement

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Manager
Job Description &amp; Summary
As a Data Engineering Manager, you will lead the design, development, and optimization of modern data platforms and pipelines on Azure and Databricks. You will oversee a team of data engineers and collaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
 
This role requires deep expertise in cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and advanced proficiency in Databricks for batch and real-time data engineering. You will also be responsible for mentoring team members, driving technical excellence, and aligning data engineering initiatives with business strategy.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Lead the end-to-end delivery of data engineering projects, ensuring alignment with business goals and technical standards.
</li><li>Architect and oversee the implementation of scalable data pipelines across structured, semi-structured, and unstructured data sources.
</li><li>Guide the adoption of best practices in data ingestion, transformation, and orchestration using Azure Data Factory, Synapse, and Microsoft Fabric.
</li><li>Drive performance optimization and scalability of ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake).
</li><li>Establish and enforce data governance, quality, lineage, and observability frameworks.
</li><li>Collaborate with solution architects and business leaders to define modern data architectures and ensure compliance with security and privacy regulations.
</li><li>Facilitate technical workshops, stakeholder engagements, and roadmap planning sessions.
</li><li>Mentor and develop junior engineers, fostering a culture of innovation, accountability, and continuous learning.
</li></ul><h3 class="jobSectionHeader">Required Skills &amp; Experience
</h3><ul><li>7&ndash;10 years of experience in data engineering, with at least 3 years in a leadership or managerial role .
</li><li>Proven track record of delivering enterprise-grade data solutions in consulting or large-scale environments.
</li><li>Advanced hands-on experience with:
<ul><li>Azure Data Platform : Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, Azure Functions.
</li><li>Databricks : PySpark, Spark SQL, Delta Lake, Unity Catalog, Databricks Workflows.
</li></ul></li><li>Strong proficiency in Python and SQL for large-scale data processing.
</li><li>Expertise in data modeling, medallion architecture, and lakehouse principles.
</li><li>Familiarity with CI/CD pipelines, DevOps practices, and version control systems (e.g., Git, Azure DevOps).
</li><li>Experience implementing data governance and observability tools.
</li><li>Strategic mindset with the ability to balance technical depth and business impact.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 24 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Data Engineer, Manager

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
We are seeking a highly skilled and visionary Software Engineering Manager to lead a team of engineers in building Caterpillar&rsquo;s next-generation Digital Manufacturing Data Platform. This platform is central to our Future of Manufacturing initiative&mdash;designed to unify and operationalize data across design, engineering, production, and supply chain operations.
The ideal candidate will possess deep expertise in Big Data, Data Warehousing, real-time data movement, and Snowflake-based architectures. You will architect and deliver scalable, secure, and intelligent data platforms that enable advanced analytics, AI, and digital twin capabilities across global manufacturing ecosystems.<div></div>
Key Responsibilities
Team Leadership &amp; Management<ul><li>
Lead, mentor, and manage a team of data engineers and platform developers.</li><li>
Foster a culture of technical excellence, collaboration, and continuous learning.</li><li>
Drive Agile practices and ensure timely delivery of high-quality solutions.</li></ul>
Technical Strategy &amp; Architecture<ul><li>
Architect and oversee the development of scalable, secure, and resilient data platforms.</li><li>
Design and implement near real-time data movement and streaming architectures using tools like Kafka, Spark, and cloud-native services.</li><li>
Establish best practices in data modeling, ETL/ELT, data governance, and metadata management.</li></ul>
Data Engineering &amp; Snowflake Expertise<ul><li>
Lead the development of robust data pipelines for ingestion, transformation, and delivery using Snowflake, dbt, and cloud-native tools.</li><li>
Optimize data storage, retrieval, and processing for performance, reliability, and cost-efficiency.</li><li>
Implement data quality frameworks, lineage tracking, and schema evolution strategies.</li></ul>
Big Data &amp; Data Warehousing<ul><li>
Build and maintain large-scale data lakes and data warehouses for structured and unstructured data.</li><li>
Design scalable data architectures to support manufacturing analytics, predictive maintenance, and supply chain optimization.</li></ul>
Cloud &amp; Platform Engineering<ul><li>
Leverage Azure and AWS services for data ingestion, transformation, and analytics.</li><li>
Deploy software using CI/CD tools (Azure DevOps preferred, Jenkins, AWS CloudFormation).</li><li>
Ensure platform scalability, security, and operational readiness across global deployments.</li></ul>
AI &amp; Advanced Analytics Enablement<ul><li>
Collaborate with Data Science and AI teams to operationalize ML models and analytics workflows.</li><li>
Promote integration of AI capabilities into data engineering pipelines (e.g., GenAI, MCP, ATA).</li><li>
Support real-time analytics and edge AI use cases in manufacturing environments.</li></ul>
Stakeholder Engagement<ul><li>
Partner with product managers, manufacturing SMEs, and business leaders to understand requirements and deliver impactful data solutions.</li><li>
Communicate technical concepts to non-technical audiences and influence strategic decisions.</li></ul><div></div>
Must-Have Skills<ul><li>
Proven experience in Big Data processing and Data Warehousing.</li><li>
Expertise in building end-to-end near real-time data pipelines for OLTP &amp; OLAP.</li><li>
Strong architecture exposure for building robust, scalable Data Platforms.</li><li>
Deep expertise in Snowflake, SQL, NoSQL, and distributed data systems.</li><li>
Experience with data transformation tools (dbt, Apache Spark, Azure Data Factory).</li><li>
Strong analytical skills and solid knowledge of computer science fundamentals.</li><li>
Deep exposure to Azure and AWS cloud platforms.</li><li>
Good understanding of AI concepts and latest developments (Gen AI, MCP, ATA, etc.).</li></ul><div></div>
Nice-to-Have Skills<ul><li>
Knowledge of the NVIDIA ecosystem and its applications in data and AI.</li><li>
Experience building production-ready AI solutions and integrating with MLOps workflows.</li><li>
Familiarity with modern data visualization and BI tools (e.g., Power BI, Tableau, Looker).</li></ul><div></div>
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
15+ years of experience in data engineering, with at least 5+ years in a leadership role.</li><li>
Demonstrated success in managing engineering teams and delivering complex data solutions.</li><li>
Excellent communication, leadership, and stakeholder management skills.</li></ul>
Relocation is available for this position.
Posting Dates:
October 22, 2025 - October 30, 2025
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.</div>

Senior Manager Software Engineering-Data Engineering

Outpost

Location: RemoteWorking Hours: US East Coast hours (typically 9:00 AM to 5:00 PM Eastern Time) &nbsp;<h3>About the Company</h3>A fast-growing, mission-driven organization partnering with clients to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it—and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values.Our team is composed of doers and leaders who roll up their sleeves, work collaboratively, and value feedback and excellence over titles. We thrive on creativity, accountability, and delivering outcomes that are both beautiful and practical. At Human Agency, we lead with purpose, love, and adventure—doing meaningful work with people we care about and making the journey one worth taking. &nbsp;<h3>Position Overview</h3>We are seeking an experienced Director of Data Engineering to stabilize and grow modern data platforms and lead AI-enabled outcomes across multiple client engagements. You will rotate across projects—sometimes coordinating a client’s data function to ensure continuity and accelerate delivery, and other times leading hands-on engineering, reliability work, or AI implementation. This role combines technical leadership with consulting excellence, pairing deep data expertise with clear executive communication. &nbsp;<h3>Key Responsibilities &nbsp;</h3>Engagement Leadership<ul><li>Coordinate across data engineering, analytics, and data science leads to manage priorities, releases, and delivery rhythms.</li><li>Map ownership and dependencies, reduce single points of failure, and maintain service catalogs and decision logs.</li><li>Lead transition planning and knowledge transfer with internal teams and vendors while sustaining delivery. &nbsp;</li></ul>Platform &amp; Pipeline Ownership<ul><li>Build, operate, and optimize ELT/ETL pipelines across batch and streaming sources.</li><li>Manage orchestration (Airflow), transformations (dbt or equivalent), environments, and CI/CD for analytics code.</li><li>Optimize warehouse performance (e.g., Snowflake) and cost efficiency.</li><li>Rapidly assess and stabilize existing pipelines, data contracts, dependencies, and SLAs/SLOs. &nbsp;</li></ul>Data Reliability &amp; Governance<ul><li>Implement monitoring, alerting, data quality checks, and SLO-based reliability practices.</li><li>Maintain lineage visibility, metadata management, and access controls.</li><li>Participate in incident response rotations and maintain runbooks, postmortems, and change management documentation. &nbsp;</li></ul>Analytics Enablement<ul><li>Partner with analysts and business stakeholders to deliver trusted datasets and semantic models.</li><li>Support BI tools (Looker, Power BI, Tableau) and maintain documented, versioned data sources of truth. &nbsp;</li></ul>Client Collaboration &amp; Consulting<ul><li>Translate business needs into technical data solutions and actionable options with clear trade-offs.</li><li>Facilitate discovery and alignment sessions, managing scope, risks, and stakeholder expectations.</li><li>Prepare concise, executive-ready updates, metrics, and recommendations. &nbsp;</li></ul>Documentation &amp; Communication<ul><li>Produce clear technical documentation, decision logs, and release notes. Communicate technical trade-offs effectively to non-technical stakeholders.</li><li>Establish lightweight governance frameworks for data quality, access, lineage, and version control.</li><li>Lead structured knowledge transfer sessions and create handover materials.</li></ul>&nbsp;<h3>Qualifications</h3> Required<ul><li>7+ years of experience in data engineering or analytics engineering, with ownership of production pipelines and BI at scale.</li><li>Proven success stabilizing and maintaining production data platforms and critical pipelines.</li><li>Expertise in modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent).</li><li>Strong skills in ELT/ETL design, APIs, SQL optimization, and cloud data storage.</li><li>Hands-on experience with data reliability, observability, lineage, and testing.</li><li>Demonstrated ability to operate effectively in ambiguous or partially documented environments.</li><li>Excellent written and verbal communication, with experience presenting to clients or executives. &nbsp;</li></ul>Preferred<ul><li>Interest or experience in Generative AI and Machine Learning.</li><li>Basic Python scripting skills for data and LLM workflows.</li><li>Practical experience building end-to-end AI workflows (e.g., RAG pipelines, retrieval, and evaluation).</li><li>Understanding of LLM behavior, tuning, and performance optimization.</li><li>Familiarity with BI tools, semantic layer design, and vector databases.</li><li>Experience with MLOps concepts for LLMs, including versioning, evaluation, and monitoring.</li><li>Awareness of data security, governance, and access management best practices. &nbsp;</li></ul>Mindset &amp; Traits<ul><li>Systems thinker with strong analytical and problem-solving abilities.</li><li>Clear communicator who can balance technical precision with strategic context.</li><li>Adaptable, collaborative, and driven to build scalable, reliable data systems.</li></ul>

Director of Data Engineering

Road and Transport, RTA Dubai

Location: UAE Location: Dubai Industry: Information Technology (IT) Function: Data Science Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Lead the development of smart, interactive platforms to support business intelligence and decision-making. * Manage RTA s corporate data repository while ensuring compliance with policies and legislation. * Oversee the design and operation of big data platforms, enabling advanced analytics and corporate insights. * Implement a comprehensive data governance roadmap aligned with UAE national policies. * Drive data quality improvement initiatives across platforms with sustainable enhancement mechanisms. * Coordinate with Dubai Digital Authority and external stakeholders to ensure compliance in data exchange. * Provide integrated, secure access to data for enterprise analytics and AI applications. * Supervise the design, development, and maintenance of enterprise data models and databases. Ideal Profile * Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. * At least 11 years of experience in enterprise data management, digital platforms, and infrastructure development. * Proven expertise in data governance, big data analytics, cloud computing, and AI governance frameworks. * Strong background in technical project management and cross-functional leadership. * Exceptional analytical thinking, organizational abilities, and attention to detail.

Senior Team Leader Data and Platform Management

Quess Corp IT

Job Title
Project Manager Dubai onsite
Job Description
Total of 15+ years of experience in project management with below skills: 1. Strong communication skills in both English and Arabic (verbal and written) 2. Experience in project planning and resource estimation Planning and Governance: 1. Develop & maintain project plan, budget, governance, resource plan and delivery plan 2. Establishing program and governance structure 3. Coordinate stakeholders & risk management 4. Oversee complete project deliverables and manage timelines. 5. Coordination with RTA AI Section, DSD and other RTA teams like of Big Data Platform Support, Infrastructure, Security team etc. for required approvals on Enterprise Big Data Platform deployment architecture Implementation Stage: 1. Monitor project performance against timelines and business objectives 2. Review different activities involved in Enterprise Big Data Platform deployment 3. Ensure compliance of Enterprise Big Data Platform with application quality and governance standards in RTA Operations Stage: 1. Coordinate with AI Section and Big Data Support section, Digital Services Department and business owners regarding Enterprise Big Data Platform augmentation 2. Coordinate and Supervise and review ETL jobs Migration as per the agenda 3. Ensure update of documentation of software system send cv to nafeesa.shaikh quesscorpme.com Immediate to 30 days notice max
Post Details

Project Manager Dubai onsite

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