data platform manager

Property Finder

<div><div>Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region's growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.</div>
Position: Data Platform Intelligence Manager, B2B
 
Reports To: Director of Data Platform Intelligence
<h2 class="jobSectionHeader">
Summary</h2>

We're seeking a people-first Engineering Manager to lead our high-performing Data Engineering team in a fast-growing proptech organization. This isn't a role for someone looking to stay hands-on in code, this is about leverage, not output. Your success equation is simple: Team Output &times; Team Health.

In this role, you will act as the core engineering partner to our B2B Product and Commercial organizations. You will move beyond simply fulfilling data requests to actively co-owning the roadmap for how data powers our enterprise offerings. Your team will build highly scalable data products that deliver actionable customer intelligence, optimize commercial performance, and provide deep behavioral insights.

Furthermore, you will champion the architectural and operational evolution of our foundational data platform. You will guide the transition from traditional, descriptive data pipelines into a proactive, AI-enabled intelligence engine. By embedding advanced analytics and machine learning capabilities directly into our core infrastructure, you will ensure our data ecosystem acts as a primary catalyst for product monetization, enhanced customer ROI, and long-term retention.
<h2 class="jobSectionHeader">
Our Tech Stack</h2>

Languages: Python, SQL 
Orchestration: Dagster (migrating from legacy Airflow) 
Compute &amp; Storage: AWS Redshift, S3, Clickhouse, Athena 
Transformation: dbt (Core/Cloud), Fivetran 
Infrastructure: AWS (ECS/EKS, Glue, Lambda), Terraform with Terragrunt 
AI/GenAI: AWS Bedrock, AWS Agentcore, LangChain
<h2 class="jobSectionHeader">
Key Responsibilities</h2>
<h3 class="jobSectionHeader">1. Business Alignment &amp; Strategic Delivery</h3>

Drive Business OKRs
<ul>
<li>Move beyond &quot;closing tickets&quot; to delivering tangible business value. Ensure your team understands why they're building a pipeline, not just how.</li>
<li>Partner closely with Product Managers to translate business requirements into technical roadmaps, prioritizing initiatives that directly impact company objectives.</li>
<li>Own the &quot;Universal Translator&quot; role: Articulate technical debt, risks, and architectural trade-offs (e.g., cost vs. latency) in language that Product, Finance, and Executive teams understand.</li>
</ul>
Delivery Excellence
<ul>
<li>Own the agile delivery process (Sprint Planning, Standups, Retrospectives), ensuring predictable, high-quality delivery of data initiatives.</li>
<li>Collaborate with stakeholders to prioritize backlogs, balancing new features, tech debt, and infrastructure investments.</li>
<li>Act as the primary point of contact for downstream data consumers (Data Science, Analytics, Product teams).</li>
</ul><h3 class="jobSectionHeader">2. Systems Thinking &amp; Operational Excellence</h3>

Build Resilient Systems
<ul>
<li>Move the team away from &quot;hero engineering.&quot; When something breaks twice, fix the system that allowed it to break, not just the symptom.</li>
<li>Enforce coding standards, CI/CD practices, and architectural guidelines that scale.</li>
<li>Proactively identify and eliminate bad processes, useless meetings, and low-value work dragging down velocity.</li>
</ul>
Own Platform Health
<ul>
<li>Monitor and maintain SLAs, data freshness, pipeline reliability, and incident response processes.</li>
<li>Lead Root Cause Analysis (RCA) with focus on systemic fixes and preventing recurrence.</li>
<li>Champion Cloud Cost Optimization (FinOps) practices on AWS.</li>
</ul><h3 class="jobSectionHeader">3. People Leadership &amp; Talent Development</h3>

Coaching &amp; Growth
<ul>
<li>Manage, mentor, and coach a team of 6-8 Data Engineers, fostering a culture of technical excellence and psychological safety.</li>
<li>Conduct meaningful 1:1s, performance reviews, and career planning, develop engineers into Senior and Principal roles.</li>
<li>Your goal: Make yourself redundant in day-to-day operations by growing your direct reports into leaders.</li>
</ul>
Performance Management
<ul>
<li>Set high standards. Believe that &quot;speed with correction beats slowness with perfection.&quot;</li>
<li>Address performance issues directly and constructively. Have difficult conversations when needed to maintain team excellence.</li>
<li>Celebrate wins and create opportunities for engineers to showcase their work.</li>
</ul>
Recruiting &amp; Retention
<ul>
<li>Lead hiring efforts as a bar-raiser for talent, ensuring we hire engineers who fit our culture of ownership and autonomy.</li>
<li>Drive onboarding processes that set new hires up for rapid impact.</li>
<li>Build diverse, inclusive teams and create an environment where everyone can do their best work.</li>
</ul>
4. AI &amp; Generative Intelligence Enablement
<ul>
<li>Automate core workflows (documentation, data validation, metadata) to multiply team output.</li>
<li>Build natural-language interfaces for frictionless, enterprise-wide data access.</li>
<li>Architect scalable feature pipelines to power predictive models and monetization algorithms.</li>
<li>Slash data cycle times using AI-assisted development and automation.</li>
<li>Deploy LLM-powered observability and automated RCA to drastically reduce MTTR.</li>
</ul><h2 class="jobSectionHeader">Essential Experience</h2>

Management Experience
<ul>
<li>5+ years of hands-on experience leading Data Engineering teams, with a proven track record of delivering complex data products end-to-end. Candidates new to people management or transitioning into their first leadership role will not be considered.</li>
<li>Demonstrated success in hiring, developing, and retaining high-performing engineers.</li>
<li>Experience managing remote or distributed teams preferred.</li>
</ul>
Technical Background
<ul>
<li>8+ years total experience in Data Engineering or Software Engineering.</li>
<li>Deep understanding of the modern data stack: Python, SQL, Cloud Data Warehouses (Redshift/Snowflake/BigQuery), and Orchestration tools (Airflow/Dagster/Prefect).</li>
<li>You don't need to be the best coder in the room anymore, but you must have the technical depth to review code, challenge estimates, and spot architectural risks.</li>
</ul>
Methodology &amp; Operations
<ul>
<li>Strong experience with Agile/Scrum methodologies and project management tools (Jira, Linear, etc.).</li>
<li>Experience managing SLAs and production incidents in high-stakes environments.</li>
<li>Track record of establishing operational excellence through monitoring, alerting, and incident response.</li>
</ul><h2 class="jobSectionHeader">Desired Capabilities (Nice-to-Have)</h2>
<ul><li>Background in proptech, real estate, or two-sided marketplace platforms.</li>
<li>Experience with streaming data systems and event-driven architectures.</li>
<li>Familiarity with ML infrastructure, feature stores, and GenAI integration in data workflows.</li>
<li>Knowledge of data observability and quality frameworks (Monte Carlo, Great Expectations).</li>
<li>Exposure to FinOps practices and cloud cost optimization strategies.</li></ul><div><div> 
<div>
<div><div>Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.</div></div><div> 
<div>
Property Finder Guiding Principles
<div>
<div><div><div><div><div><div><div><ul><li>Think Future First</li></ul>
<ul><li>Data Beats Opinions, Speed Beats Perfection</li></ul>
<ul><li>Optimise for Impact</li></ul>
<ul><li>No Ostriches Allowed</li></ul>
<ul><li>Our People, Our Power</li></ul>
<ul><li>The Biggest Risk is Taking no Risk at All</li></ul></div> 
</div>
</div></div></div></div></div></div></div></div> 
</div></div><div></div><div><div><div><div>Find us at:

Twitter

Facebook

Instagram

Linkedin

Glassdoor</div></div></div></div></div></div>

Data Platform Intelligence Manager - B2B

Discovered MENA

<div>
 
 
 🚀 Senior Product Manager (Data Marketplace &amp; Integration Platform)
 
 
 
 
 💰 28,000 AED - 30,000 AED + Benefits (Education Allowance)
 
 
 
 
 📍Abu Dhabi
 
 
 
 
 🔊 Data Platform Experience
 
 
 
 
 
 
 We have partnered with a strategic Abu Dhabi government-backed initiative to build a next-generation data platform that enables secure, compliant, and scalable data exchange.
 
 
 
 
 
 This is a greenfield opportunity to play a critical role in launching and scaling a new platform product, operating at the intersection of data marketplaces, B2B API integrations, and regulated digital infrastructure.
 
 
 
 
 
 
 
 Discover the responsibilities
 
 
 
 <ul>
 <li>
 Own the product vision, roadmap, and execution strategy for the platform
 </li>
 <li>
 Drive the evolution of the platform from early launch through adoption, scale, and commercial growth.
 </li>
 <li>
 Lead the development of API-driven B2B integrations enabling secure data exchange between internal systems and partner marketplaces.
 </li>
 <li>
 Partner closely with engineering and architecture teams to design scalable, secure, and standards-driven data infrastructure.
 </li>
 <li>
 Oversee platform governance, including data schemas, data quality, and compliance requirements.
 </li>
 </ul>
 
 
 
 Discover the Experience
 
 
 
 <ul>
 <li>
 5+ years of Product Management experience delivering complex digital or platform products
 </li>
 <li>
 Proven experience building and scaling B2B platforms, marketplaces, or enterprise SaaS products
 </li>
 <li>
 Strong experience delivering API integrations and data exchange solutions
 </li>
 <li>
 Experience working in regulated or government-linked environments is highly advantageous
 </li>
 <li>
 Strong stakeholder management across engineering, business, and regulatory teams
 </li>
 <li>
 Exposure to automotive or asset auction platforms is also considered relevant
 </li>
 <li>
 Experience delivering cross-border or global data platforms
 </li>
 </ul>
 
 
 
 
 This is an opportunity to help build a flagship government-backed digital platform. It is a high-visibility role with strategic impact across regional and international stakeholders!
 
 
 
 
 
 
 If this fits your experience, I would love to speak to you! Only relevant candidates will be considered 💛
 
 
 
 
</div>

Product Manager - Data Marketplace

Medifast

<div>I. Job Summary 
 
Overview of Position
The Manager, Data Engineering is a pivotal leadership role responsible for the architecture, design, and delivery of Medifast&rsquo;s enterprise data ecosystem. This individual leads a high-performing team to build scalable data pipelines and cloud-based infrastructure (AWS) that power business insights, advanced analytics, and ML/AI initiatives. Acting as a bridge between complex technical architecture and strategic business needs, the Manager ensures that data platforms are reliable, secure, and accessible, while fostering operational excellence and mentoring senior technical talent.
<div>Opportunity Highlights
 
<ul><li>Lead high-impact data engineering and integration initiatives supporting enterprise analytics and business insights
</li><li>Provide technical and people leadership within a modern, cloud-based data platform environment
</li><li>Drive architecture, delivery, and operational excellence for scalable, reliable data solutions
</li><li>Partner with cross-functional stakeholders to translate business needs into production-ready data platforms
</li><li>Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency
</li><li>Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.
</li></ul></div><div>II. Job Responsibilities
 
 
Technical Leadership &amp; Solution Delivery
 
<ul><li>Translate defined business and analytics requirements into scalable, reliable, and high-performance data engineering and integration solutions.
</li><li>Provide technical and architectural leadership to ensure data platforms meet established performance, availability, security, and compliance standards.
</li><li>Provide hands-on technical guidance and support for complex data engineering issues as required.
</li><li>Accountable for the architecture, design, delivery, and support of systems integration, data warehouse, business insights, and ML/AI use cases.
</li></ul>Stakeholder &amp; Requirements Management
 
<ul><li>Partner with cross-functional stakeholders to translate business needs into production-ready data platforms.
</li><li>Plan and oversee delivery of data engineering initiatives, including effort estimation, prioritization, vendor coordination, and issue escalation.
</li><li>Ensure data integration services are reliable, secure, scalable, and fit for purpose.
</li></ul></div><div>People Management &amp; Leadership
 
<ul><li>Manage assigned data engineering staff, including work allocation, performance evaluations, coaching, and merit-based compensation recommendations.
</li><li>Lead agile delivery execution and support continuous improvement of data engineering processes, platforms, and practices.
</li><li>Foster a culture of technical excellence and professional growth within the data engineering team.
</li></ul>Operational Excellence &amp; Support
 
<ul><li>Ensure operational support and stability through established monitoring, logging, alerting, incident management, and 24x7 support processes.
</li><li>Ensure adherence to change management, release, and deployment standards to minimize operational risk and service disruption.
</li><li>Identify and implement technology initiatives to improve platform reliability, scalability, and cost efficiency.
</li></ul>Continuous Improvement &amp; Innovation
 
<ul><li>Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency.
</li><li>Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise. 
</li></ul></div>III. Scope
Under the guidance of leadership, the role leads and/or participates in multiple concurrent data and analytics initiatives. The position partners closely with business stakeholders to manage reporting and business-insights requirements across functions.
 
 
The role establishes team priorities, ensures efficient and high-quality delivery, and manages stakeholder expectations. Scope of responsibility includes coordinating cross-functional and geographically distributed resources, overseeing vendor partners, and ensuring adherence to delivery timelines, service reliability, and established standards and processes.
 
 
The role directly manages a small team of senior technical resources across data engineering, business intelligence engineering, and software engineering focused on data platform capabilities.
 
 
The position also conducts performance reviews for assigned team members and provides input and recommendations related to merit-based compensation adjustments, in alignment with company guidelines and leadership direction.
 
 
IV. Knowledge, Education, Skills &amp; Abilities
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or closely related field is required; Master&rsquo;s degree preferred
</li><li>5 -7 years in data engineering with demonstrable experience in data integration and data warehouse projects
</li><li>3+ years of strong programming experience using Python and/or Java.
</li><li>2+ years&rsquo; experience leading data engineering teams using ETL/ELT tools and platforms such as Informatica, AWS Lambda, SSIS, AWS Glue, and/or similar cloud-native integration frameworks
</li><li>5+ years&rsquo; experience with DBMS such as Oracle, SQL Server, MySQL, etc.
</li><li>3+ years of AWS experience with services such as Amazon Redshift, AWS SQS, etc.
</li><li>Experience implementing data quality, monitoring, logging, and alerting practices for data pipelines in production environments
</li><li>Demonstrated ability to communicate complex technical concepts to business and technical stakeholders and translate requirements into scalable solutions
</li><li>Excellent analytical, problem-solving, and conceptual thinking skills
</li><li>Retail/CPG industry experience preferred 
</li></ul>At Medifast, Relationships Are At The Center Of What We Do!
We thrive by elevating our connections with one another as well as with our Coaches &amp; Clients. We believe that everyone has the potential to be OUTSTANDING . The Medifast culture is built on seven core values: integrity, courage, teaming, accountability, empowerment, partnership and diversity . These values aren&rsquo;t just words on a page &ndash; they are celebrated as a core part of the company&rsquo;s philosophy. 
 
We Lead By&hellip; 
 
Mastering Relationships: We build trust, promote collaboration and we are reliable.
 
Being Innovative: We strive to improve things in our areas of influence; test, refine and expand within the business strategy; and reach beyond real and perceived boundaries.
 
Simplifying: We are committed to making things measurable, repeatable and scalable; focusing on outcomes not activities; and eliminating complexity to increase focus.
 
Anticipating: We predict long-term business and organizational needs; challenge assumptions; and expect and prepare for the unexpected. 
 
The salary range for this position is:
$147,942.95 - $200,158.11
Medifast (NYSE: MED) is the health and wellness company known for its science-backed, coach-guided lifestyle system. Designed to help address the challenges of metabolic dysfunction, the company&rsquo;s holistic approach integrates personalized plans, scientifically developed products and a framework for habit creation &mdash; all supported by a dedicated network of independent coaches. Driven to improve metabolic health through advanced science and comprehensive behavioral support, Medifast has introduced Metabolic Synchronization&trade;, a breakthrough science that reverses metabolic dysfunction through a targeted reset of the body&rsquo;s metabolism. Research shows the company&rsquo;s comprehensive system activates strong and targeted fat burn to enhance metabolic health and body composition by reducing visceral fat, preserving lean mass and protecting muscle. Backed by more than 40 years of clinical heritage, Medifast continues to advance its mission of Lifelong Transformation, Making Healthy Lifestyle Second Nature&reg;. For more information, visit MedifastInc.com and follow Medifast on X and LinkedIn .</div>

Manager, Data Engineering

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
Shift time: 11:00 AM - 8:30 PM IST (with flexibility to connect with Onshore Stakeholders once or twice a week) 
<ul><li>
Reporting to the Vice President, the leader owns the strategy and execution of value measurement for the Data Platform and serves as the primary point of accountability for how platform performance and value are quantified and communicated to senior leadership</li><li>
This leader defines and manages the platform's KPI and measurement framework so that cost, performance, adoption, and business impact are transparently understood and used to guide investment decisions</li><li>
As the owner of the platform's value and insights portfolio, the leader will establish and maintain dashboards and reporting for cost, performance, latency, utilization, and adoption; designs and applies value and ROI frameworks; and leads analyses that quantify the impact of product and modernization choices</li><li>
The leader partners closely with Product, Engineering, Architecture, Finance, and the Program &amp; Partner Enablement leader to ensure that metrics are aligned to business objectives and that insights are translated into action</li><li>
This is a people leader role that combines product analytics, knowledge of cloud-based data management and analytics platforms, effective use of advanced analytics and AI tools, financial acumen, and talent leadership</li><li>
The leader will lead and develop a team of data professionals, prioritizes work against strategic objectives, and sets standards for data quality, governance, and storytelling in all platform reporting. The leader represents Value &amp; Insights in portfolio and cross-platform forums, clearly communicating trends, trade-offs, and recommendations to senior stakeholders</li></ul> 
Primary Responsibilities:<ul><li>
Own the value and measurement strategy for the Experience Data Platform, including KPI definitions, scorecards, and reporting standards</li><li>
Design, build, and maintain dashboards that provide executive-ready visibility into cost, performance, latency, utilization, and adoption</li><li>
Develop and apply value, ROI, and cost-transparency frameworks to evaluate platform capabilities and modernization investments</li><li>
Conduct complex analyses to identify trends, risks, and opportunities; synthesize findings into clear recommendations for senior leaders</li><li>
Partner with Product, Engineering, Architecture, Finance, and the Program &amp; Partner Enablement leader to ensure metrics and insights are aligned to business goals and are embedded in decision-making</li><li>
Establish and enforce standards for data quality, lineage, and governance across all Value &amp; Insights artifacts</li><li>
Oversee the selection and effective use of cloud-based data and BI tools used for platform measurement and reporting</li><li>
Lead, coach, and develop a high-performing team of data professionals; set priorities, provide feedback, and support career growth</li><li>
Represent Value &amp; Insights in portfolio planning, quarterly business reviews, and cross-functional forums, clearly articulating trade-offs and platform performance</li><li>
Identify and implement opportunities to automate reporting, improve measurement methodology, and enhance the overall analytics toolset</li><li>
Identify and implement opportunities to use advanced analytics and AI tools to enhance forecasting, anomaly detection, and insight generation for platform stakeholders</li><li>
Perform other duties as assigned</li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul>
Required Qualifications:<ul><li>
BE or B.Tech, or an MBA from a premier institute, with relevant coursework or certifications in advanced analytics</li><li>
15+ years of leadership experience in data analysis, supported by deep expertise in:</li><li>
12+ years of experience in Python, leading cloud platforms (Azure/AWS/GCP), Databricks, SQL and the O365 ecosystem</li><li>
10+ years of hands-on expertise with Power BI and Snowflake, driving advanced analytics, reporting, and data platform optimization</li><li>
Proven experience leading initiatives within Product and/or Marketing domains, with the ability to translate business needs into data‑driven strategies and insights</li><li>
Proficiency with United AI Studio or an equivalent AI platform</li><li>
Demonstrated leadership in driving AI and machine learning strategy, adoption, and innovation</li><li>
Proven adept at shaping data strategy and driving high‑impact, insight‑led decision‑making for senior stakeholders</li></ul> 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
#njp #SSTech</div>

Senior Manager Data Science - Python, SQL, Cloud, Databricks

Canonical

<div>
 Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
 
 
 We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
 
 
 
 Location:
 
 
 This role can be filled in European, Middle East, African or any American region / time zone.
 
 
 
 What your day will look like
 
 
 <ul>
 <li>
 You will lead a team building scalable data solutions for Kubernetes and cloud machines
 </li>
 <li>
 You will hire, coach, mentor, provide feedback, and lead your team by example
 </li>
 <li>
 You will demonstrate sound engineering skill by directly contributing code when needed
 </li>
 <li>
 Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
 </li>
 <li>
 Advocate modern, agile software development practices
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 </li>
 <li>
 Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
 </li>
 <li>
 Grow a healthy, collaborative engineering culture aligned with the company's values.
 </li>
 <li>
 Be an active part of the leadership team and collaborate with other leaders in the organization
 </li>
 <li>
 Work from home with global travel twice yearly, for internal events of one or two weeks duration
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 A software engineering background, preferably with Python and Golang experience
 </li>
 <li>
 Experience running in production and at scale, preferably Big Data or MySQL
 </li>
 <li>
 Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
 </li>
 <li>
 Proven ability to build high-quality, open-source software
 </li>
 <li>
 Proven to drive good engineering practices around performance and quality
 </li>
 <li>
 An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
 </li>
 <li>
 The ambition to build products that improve how people operate software and infrastructure everywhere
 </li>
 <li>
 Love developing and growing people and have a track record of doing it
 </li>
 <li>
 Knowledgeable and passionate about software development
 
 
 </li>
 </ul>
 
 Additional Skills That You Might Also Bring
 
 
 
 <ul>
 <li>
 Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
 </li>
 <li>
 Prior experience working with open source and a will to build products with the community
 
 
 </li>
 </ul>
 What we offer you
 
 
 Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
 
 
 In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
 
 
 <ul>
 <li>
 Fully remote working environment - we've been working remotely since 2004!
 </li>
 <li>
 Personal learning and development budget of 2,000USD per annum
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues at 'sprints'
 </li>
 <li>
 Priority Pass for travel and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
 
 
 Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.
 
 
</div>

Engineering Manager - Data Platform

Binary Brix 

Job Title: Senior Data Engineering ManagerExperience: 5 to 6 + Years Location: Onsite &ndash; Lahore / Hybrid / Remote Job Type: Full-TimeAbout the RoleWe are seeking a strategic and hands-on Senior Data Engineering Manager to lead our data engineering function. You will be responsible for building scalable data platforms, managing high-performing teams, and enabling data-driven decision-making across the organization.Key Responsibilities-Leadership &amp; Strategy<ul><li>Define and execute the data engineering roadmap and architecture.</li><li>Lead, mentor, and manage a team of data engineers and analytics engineers.</li><li>Partner with stakeholders (Product, AI/ML, BI, Finance) to translate business needs into data solutions.</li><li>Establish best practices for data governance, security, and compliance.</li></ul>Technical Ownership<ul><li>Design and maintain scalable data pipelines (ETL/ELT).</li><li>Build and optimize data warehouses and lakes.</li><li>Ensure data quality, reliability, and performance.</li><li>Oversee integration of multiple data sources (APIs, SaaS tools, transactional systems).</li><li>Implement real-time and batch processing systems.</li><li>Drive adoption of cloud-native data platforms.</li></ul>Operations &amp; Delivery<ul><li>Own delivery timelines, sprint planning, and resource allocation.</li><li>Review system designs and make architectural decisions.</li><li>Implement monitoring, alerting, and SLAs for data systems.</li><li>Manage budgets, tools, and vendor relationships.</li></ul>Required Skills &amp; Qualifications<ul><li>5 &ndash;6 + years of experience in Data Engineering / Data Platforms.</li><li>3&ndash;5+ years in people management or technical leadership roles.</li><li>Strong expertise in Python / SQL / Spark.</li><li>Deep experience with cloud platforms (AWS, GCP, Azure).</li><li>Expertise in data warehouses (Snowflake, BigQuery, Redshift).</li><li>Experience with orchestration tools (Airflow, Prefect, Dagster).</li><li>Strong understanding of data modeling, dimensional modeling, and analytics engineering.</li><li>Experience with streaming platforms (Kafka, Kinesis).</li><li>Solid knowledge of DevOps / CI/CD for data.</li></ul>Nice to Have (Plus Points)<ul><li>Experience supporting AI/ML pipelines.</li><li>Familiarity with DBT and modern analytics stacks.</li><li>Experience in fintech / SaaS / e-commerce domains.</li><li>Knowledge of data privacy regulations (GDPR, SOC2).</li><li>MBA or advanced technical degree.</li></ul>What We Offer<ul><li>Leadership role in building a modern data organization.</li><li>Competitive executive-level compensation.</li><li>International projects and exposure.</li><li>Strong growth into Head of Data / Chief Data Officer (CDO).</li><li>Flexible work environment</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthWork Location: In person

Senior Data Engineering Manager

Thales

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 Location: Abu Dhabi, United Arab Emirates
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 Operating in a fast-paced and competitive trading environment, AGS Trading team leverages data to drive agility, efficiency, and customer satisfaction.
 
 
 This position of Enterprise Data Lead is based in Abu Dhabi, UAE and reports to the General Manager of AGS Trading.
 
 
 The position owner will:
 
 
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 Work closely with procurement, supply chain, finance, sales, compliance, and IT, as well as with external vendors and implementation partners.
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 Act as the central point of accountability for the Thales AGS Trading data ecosystem, covering ERP administration, data platforms, data analytics, integrations, and governance:
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 Overseeing of system configuration, user access, and data integrity, while coordinating with ERP vendor technical support to resolve incidents, deploy fixes, and manage upgrades
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 Ensuring smooth change management through UAT, testing, and compliance with internal controls.
 
 
 
 
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 Engage stakeholders to understand priorities, translate them into scalable solutions, and ensure the timely delivery of reliable insights.
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 Driving cross-functional collaboration to align data initiatives with business outcomes, strengthen governance and data quality.
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 Promotion of continuous improvement through automation, knowledge sharing, and best practices.
 
 
 
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 Roles &amp; Responsibilities:
 
 
 
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 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.
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 Overseeing ERP administration
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 Manage user access controls, cloud-based system configurations, and data extraction using SQL queries across key modules (Inventory Management, Accounting, Sales, Procurement, Repair, etc.).
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 Build and maintain Event Managers within the ERP that send timely alerts and notifications to relevant users.
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 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.
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 Use the Screen Editor tool to apply regulations and field-level controls within ERP that ensure the system interface aligns with business requirements.
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 Verify bulk data accuracy and perform imports into the ERP,
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 Actively collaborate with the Technical Support team to resolve critical issue in a timely manner.
 
 
 
 
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 Collaboration with internal cross-functional stakeholders to gather business requirements, translate them into data driven solutions that supports operational excellence and strategic goals.
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 Designing, developing, enhancing, and maintenance of:
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 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.
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 Dashboards and predictive models that translate complex data into insights, which provide decision-making, cross-functional support.
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 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.
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 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.
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 Leading digital transformation and modernization initiatives (AGS Trading Marketplace &amp; Cloud Migration) to improve processes efficiency ensure data security, workflow optimization, and automation.
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 Collaboration with:
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 Trade Compliance, Export Control department and CRM tech support team to ensure full compliance across Trading operations (Company/PN validation and approval).
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 IS/IT Team to safeguard Thales IT policies and regulatory requirements while mitigating risks associated with data integrity and security.
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 Overseeing data quality frameworks by establishing clear processes within ERP ensuring clean and reliable data
 
 
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 Education:
 
 
 
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 Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Engineering, or related field.
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 8&ndash;10 years of professional experience in data engineering, ERP systems, and data analytics.
 
 
 
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 Technical Skills:
 
 
 
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 Languages &amp; Frameworks: Python, SQL, PySpark, DAX
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 Data Engineering: ETL Pipelines, Data Modeling, Data Integration, API (REST/GraphQL), Talend
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 Databases: Oracle, SQL Server
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 Business Intelligence: Power BI, Tableau
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 ERP Systems: Oracle-based ERP (Quantum Control) &ndash; Configuration, Administration, and Integration
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 Cloud Platforms: Microsoft Azure
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 Advanced Analytics: Predictive Modeling, Statistical Analysis, Machine Learning Algorithms
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 Automation &amp; Tools: Power Automate, Event Manager
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 Data Governance: Data Quality Management, Validation Rules
 
 
 
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 Required Skills:
 
 
 
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 Strong understanding of procurement, supply chain, finance, and sales functions
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 Ability to bridge business requirements with technical solutions
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 Excellent stakeholder engagement, communication, and presentation skills
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 Result-oriented mindset with the ability to deliver under pressure and tight deadlines
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 Demonstrated experience working in diverse, cross-functional, and multicultural Team
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 Experience in the aerospace industry or trading domain is an advantage
 
 
 
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 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!
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Enterprise Data Lead

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