data engineering manager

Khazna

<div>
 
 
 About Khazna
 
 
 
 Khazna launched in 2020 with a mission to improve the financial well-being of the underbanked, who have little access to formal financial services by providing access to convenient, effective and secure smartphone-based financial services. Khazna has received the Central Bank of Egypt&rsquo;s first prepaid card license and aims to become the go-to neobank for underbanked consumers across the Middle East. In the next phase of its journey, Khazna is looking to continue scaling up its operations in Egypt and to launch its operations in Saudi Arabia.
 
 
 
 
 
 This is a fun stage in the company's lifecycle as the core foundation has been but it is still early enough to assume a ton of ownership and to help shape the future of the company and its success.
 
 
 
 
 
 Join
 
 Khazna
 
 and contribute your skills and expertise to our mission of revolutionizing digital payments 💳 and driving financial inclusion 🌍 across the region.
 
 
 
 
 
 
 About the Role
 
 
 
 The Data Engineering Manager is responsible for executing Khazna&rsquo;s data platform roadmap as co-defined with the CTO. The role ensures the reliable design, build and operation of scalable data pipelines and infrastructure that support product, risk, finance and operational use cases.
 
 
 This role focuses on data platform setup, delivery excellence, technical leadership, team development and translating strategic direction into high-quality implementation.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable batch and streaming data pipelines.
 </li>
 <li>
 Implement data models aligned with product and operational requirements.
 </li>
 <li>
 Translate the architectural vision into detailed technical designs.
 </li>
 <li>
 Establish engineering standards for data reliability, testing, and monitoring.
 </li>
 <li>
 Build and manage a high-performing data engineering team.
 </li>
 <li>
 Provide technical coaching and mentorship.
 </li>
 <li>
 Collaborate with Product, Risk, Commercial, and Finance teams to prioritize backlog.
 </li>
 <li>
 Implement data access controls and security standards defined by Security and Risk.
 </li>
 <li>
 Ensure technical compliance with internal governance policies.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, Information Technology or a related field.
 </li>
 <li>
 8+ years in data engineering or platform engineering.
 </li>
 <li>
 Prior team leadership experience (minimum 1 year of managing direct reports).
 </li>
 <li>
 Solid experience in designing and managing scalable data platforms.
 </li>
 <li>
 Experience working with cloud platforms, preferably GCP.
 </li>
 <li>
 Hands-on experience implementing and maintaining open-source data tools.
 </li>
 <li>
 Proficiency in SQL and NoSQL.
 </li>
 <li>
 Demonstrates the ability to assess, compare and select open-source technologies aligned with business requirements, scalability needs and long-term strategy.
 </li>
 <li>
 Strong stakeholder communication skills
 </li>
 <li>
 Experience in fintech or regulated environments preferred.
 </li>
 </ul>
 
 
 
 
 🚀
 
 Apply now
 
 and be part of a team that is shaping the future of finance in Egypt and Saudi Arabia!
 
 
 
</div>

Data Engineering Manager

Deloitte

<div>
 
 Data Engineering Tech Lead, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity
 
 
 
 <ul>
 <li>
 Identify and solve complex problems using a structured and logical approach.
 </li>
 <li>
 Stay up to date on the latest data engineering technologies and trends.
 </li>
 <li>
 Work with other engineering teams to integrate data engineering solutions with other systems.
 </li>
 <li>
 Maintain and optimize data systems to ensure high availability and performance.
 </li>
 <li>
 Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
 </li>
 <li>
 Gather requirements from stakeholders and translate them into technical specifications.
 </li>
 <li>
 Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
 </li>
 <li>
 Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
 </li>
 <li>
 Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
 </li>
 <li>
 Manage multiple projects simultaneously in a highly organized and efficient manner.
 </li>
 <li>
 Think creatively and come up with new solutions to problems.
 </li>
 <li>
 Communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 
 Connect to your skills and professional experience
 
 
 
 <ul>
 <li>
 7+ years of relevant experience.
 </li>
 <li>
 Cloud computing platforms: AWS/Azure/GCP
 </li>
 <li>
 Programming languages: Python/Java/Scala &amp; Unix Shell scripting
 </li>
 <li>
 Data warehouse technologies: Redshift/Snowflake/Big Query
 </li>
 <li>
 Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
 </li>
 <li>
 Orchestration: Airflow/Control-M/(Any Orchestration tool)
 </li>
 <li>
 Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
 <ul>
 <li>
 Dan, Technology and Transformation
 
 
 </li>
 </ul>
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
</div>

Deloitte Innovation Hub I Data Engineering Tech Lead, Cairo, Egypt

Reprise Financial

<div>Please Note: Currently, and for the foreseeable future, Reprise Financial is unable to provide visa sponsorship or support for employment authorization. If your ability to work in the U.S. requires current or future visa sponsorship, this role may not be suitable. If your circumstances change in the future, we encourage you to reach out directly regarding other opportunities.
Reprise Financial is on a mission to simplify the financial journey for our customers, making personal loans accessible and transparent. We leverage technology and a customer-first approach to provide fast, reliable personal loans of up to $25,000, ensuring our clients receive the support they need without hidden fees or complex terms. Our commitment to integrity and clarity allows us to foster trust and empower individuals to take control of their finances.
At Reprise Financial, we foster a workplace built on innovation, collaboration, and kindness. Our mission to simplify the financial journey for our customers inspires us to exceed expectations and make a meaningful impact.
We provide the tools, resources, and support for employees to thrive in a dynamic, customer-focused environment. Transparency, continuous improvement, and open communication drive our culture of trust and excellence, where new ideas are valued, and growth is encouraged.
Join Reprise Financial and be part of a team where your contributions are recognized, and you have the opportunity to innovate, grow, and make a positive difference.
About the role
At Reprise Financial, we're building a data-driven culture where trusted, accessible, and scalable data powers every decision. As the IT Senior Manager of Data Engineering, you'll lead the Data Operations team within IT Enterprise Data Management function responsible for ensuring the most critical data processes run accurately and efficiently ensuring data is used as a strategic asset&mdash;ensuring the platforms, pipelines, and processes behind our business are reliable, efficient, and scalable across the enterprise.
This is a hands-on technical leadership role for someone who thrives at the intersection of technology, people, and processes. You'll lead a team of highly technical data professionals, driving automation, modern data practices, and operational excellence while partnering closely with Engineering, Reporting, Analytics, and business leaders. The ideal candidate is passionate about building high-performing teams, solving complex data challenges, driving operational efficiencies, and creating scalable solutions that enable the business to move faster and make smarter decisions.
Key Responsibilities<ul><li>
Lead and develop a high-performing Data Operations team through coaching, mentorship, and performance development.</li><li>
Oversee the reliability, availability, and quality of enterprise data through effective management of data pipelines, integrations, and operational processes.</li><li>
Ensure data governance standards, policies, and best practices are in place that promote data integrity, consistency, and responsible data use.</li><li>
Partner with Engineering, Reporting, Analytics, and business leaders to prioritize and deliver data processes and efficiencies aligned with organizational goals.</li><li>
Drive automation, modernization, and continuous improvement initiatives that enhance scalability, efficiency, and operational excellence.</li><li>
Oversee performance, scalability, and security of data platforms and tools that support business operations and analytics.</li><li>
Lead incident management, root-cause analysis, and resolution of data-related issues while implementing preventative measures to reduce future risk.</li><li>
Define and monitor key operational metrics and service levels to measure team effectiveness and identify opportunities for improvement.</li></ul>
Skills, Knowledge, and Expertise<ul><li>
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or relevant technical degree (equivalent experience considered in lieu of degree).</li><li>
6+ years of experience in data engineering, data operations, analytics engineering, or a related technical discipline.</li><li>
2+ years of experience leading or managing technical teams and developing team members.</li><li>
Experience building, optimizing, and supporting modern data ecosystems, including ETL/ELT pipelines, data warehouses, data lakes, and analytics platforms.</li><li>
Experience applying modern software engineering practices, including version control, CI/CD, testing frameworks, and DevOps methodologies.</li><li>
Expertise of data operations processes, data orchestration, workflow automation, job scheduling, and monitoring tools.</li><li>
Expertise with SQL Server data platforms, ETL/ELT, services, and scheduling (SQL Server required).</li><li>
Expertise with cloud-based data platforms and services (Azure or Fabric required).</li><li>
Expertise in SQL, data modeling, database, and data warehouse design principles.</li><li>
Strong analytical, problem-solving, and decision-making skills with a focus on delivering scalable solutions.</li><li>
Excellent communication skills with the ability to translate complex technical concepts into actionable business insights.</li><li>
Demonstrated ability to lead cross-functional initiatives and partner effectively with technical and business stakeholders.</li><li>
Experience within financial services, lending, fintech, or other highly regulated industries preferred.</li><li>
Experience in a Data Operations role as a lead or manager preferred.</li></ul>
Location
This position is fully remote, allowing you to work from anywhere that suits you best! While you&rsquo;ll primarily work from home, you are always welcome to visit our office in Irving, TX, whenever you choose. We encourage our remote team members to stay connected through regular virtual meetings and team events. All team members must reside in one of our approved locations by their start date, ensuring you remain part of our collaborative community.
Compensation
For this role our salary range is $120,000 to $150,000, depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
Benefits That Support Your Success<ul><li>
Stay Healthy &amp; Happy: Comprehensive medical, dental, and vision coverage, contributions to a Health Savings Account (HSA), and access to an Employee Assistance Program (EAP) to support your mental health and overall well-being.</li><li>
Secure Your Future: Plan ahead with our 401(k) program, featuring a Safe Harbor Match (100% of the first 3% and 50% of the next 2%).</li><li>
Time That Works for You: Recharge with accrued time off, company holidays, sick time, and 3 floating holidays&mdash;perfect for celebrating your birthday, your dog&rsquo;s birthday, or just a random Tuesday!</li><li>
Support for Growing Families: Our 12-week Paid Parental Leave ensures you have the time and support to focus on your family during life&rsquo;s biggest moments.</li><li>
Competitive Rewards: Market-driven salary and bonus opportunities ensure your hard work is recognized and rewarded.</li><li>
Tools for Success: Stay connected and productive with a robust tech package designed to help you deliver your best every day.</li></ul>
Our Core Values<ul><li>
Pursue Excellence: We strive for the highest quality, ensuring our tools and services truly aid in our customers&rsquo; success.</li><li>
Make a Meaningful Impact: We focus on delivering outcomes that genuinely improve financial well-being.</li><li>
Commit to Innovation: Our innovative approach keeps us at the forefront of providing effective financial tools.</li><li>
Champion the Customer: We prioritize our customers' financial goals, tailoring our tools to meet their unique needs.</li><li>
Collaborate with Purpose: Our teamwork drives us to develop superior solutions that empower customers.</li><li>
Lead with Kindness: Respect and empathy are central to our operations, creating a supportive environment for success.</li></ul>
Equal Employment Opportunity Employer
At Reprise Financial, we are dedicated to fostering an inclusive community where every individual is valued. We are an Equal Employment Opportunity employer&mdash;ensuring that all qualified applicants and employees receive consideration for employment without regard to age, race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
We believe that diversity strengthens our organization and drives innovation, and we are committed to creating a workplace that reflects the rich variety of our communities.
Compensation Range: $120K - $150K</div>

Senior Manager, Data Operations

Faire

<div><div>About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>
Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin. 
 
About this role

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.

Within the Platform group:
<ul>
<li>The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.</li>
<li>The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.</li>
</ul>
The teams also own relationships with relevant technology infrastructure vendors.

Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy &amp; Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.

We're looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.

What you'll do
<ul>
<li>Plan and execute on technology projects that scale with Faire's growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.</li>
<li>Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.</li>
<li>Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.</li>
</ul>
Qualifications
<ul>
<li>Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.</li>
<li>Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.</li>
<li>Strong SQL and Python skills and experience.</li>
<li>Data warehousing experience at Petabyte scale.</li>
<li>Snowflake, Airflow, Spark experience especially valuable.</li>
<li>Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.</li>
<li>Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.</li>
<li>Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.</li>
<li>Excellent communication, leadership, and influencing skills.</li>
<li>A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.</li>
<li>Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.</li>
</ul>
Salary Range

California &amp; New York: the pay range for this role is $276,000 to $379,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.<div>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you'll love working at Faire
<ul>
<li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</div></div>

Senior Staff Data Engineer - Platform Data and Analytics

Human Capital HR Solutions

Human Capital HR Solutions is Hiring for One of Its Prestigious ClientsPosition: Assistant Manager &ndash; Data CenterLocation: IslamabadIndustry: Information Technology &amp; TelecommunicationsHuman Capital HR Solutions is hiring on behalf of one of its prestigious clients for the position of Assistant Manager &ndash; Data Center. We are seeking an experienced and technically skilled professional to oversee critical data center infrastructure, ensure operational excellence, and maintain high availability of data center facilities. The ideal candidate will possess strong expertise in infrastructure management, preventive maintenance, vendor coordination, and compliance with international data center standards.Key ResponsibilitiesManage and maintain critical data center infrastructure, including power systems, cooling systems, UPS, generators, HVAC, and fire safety systems.Ensure maximum uptime and availability of all data center facilities.Plan, execute, and monitor preventive and corrective maintenance activities.Lead incident management activities and perform Root Cause Analysis (RCA) for operational issues.Coordinate with vendors and ensure compliance with service contracts and SLAs.Develop, implement, and maintain Standard Operating Procedures (SOPs) for data center operations.Support infrastructure upgrades, expansion projects, and capacity planning initiatives.Ensure compliance with industry standards, including TIA-942, Uptime Institute, and ISO guidelines.Monitor operational performance and recommend continuous improvement initiatives.Lead and mentor the data center operations team while ensuring adherence to operational best practices.Collaborate with internal stakeholders and communicate effectively with local and international clients.RequirementsBachelor's degree in Electrical Engineering, Electronics Engineering, Telecommunication Engineering, Power Engineering, or a related discipline.CDCP (Certified Data Centre Professional) certification is preferred.Minimum 7&ndash;8 years of experience in managing critical data center operations.Strong technical knowledge of UPS systems, generators, HVAC systems, and power infrastructure.Sound understanding of data center standards, including TIA-942, Uptime Institute, and ISO.Experience in incident management, Root Cause Analysis (RCA), and infrastructure lifecycle management.Proven expertise in vendor management and service contract administration.Basic knowledge of networking and Layer-1 (L1) support.Excellent leadership, communication, analytical, and problem-solving skills.Ability to interact professionally with both domestic and international clients.Why Join?Competitive market-based salary and benefits.Opportunity to work in a mission-critical enterprise environment.Professional growth and exposure to advanced data center technologies.Collaborative and performance-driven work culture.Interested candidates are encouraged to send their updated resume to: careers1.hc@gmail.comPlease mention &quot;Assistant Manager &ndash; Data Center&quot; in the subject line of your email.Work Location: In person

Assistant Manager – Data Center

Select Minds LLC

<div><div><div>Benefits:</div>
<ul><li>HYBRID</li>
<li>Competitive salary</li>
<li>Opportunity for advancement</li>
</ul></div><div><div>Technical Project Manager | Data Engineering &amp; Data Science 
Location: Dallas, TX Hybrid (Onsite + Remote) 
Employment Type: Full Time / Contract (W2) 
Duration: 12+ Months (Ongoing) 
Cloud Environment: Amazon Web Services (AWS) 
Team Structure: US Onsite Teams and Offshore GCC Teams 
Compensation: Competitive Market Rate
 
 
We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment. 
 
In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery. 
 
Required Qualifications 
 
Technical Skills 
<ul><li>Experience managing Data Engineering and/or Data Science projects</li><li>Strong understanding of AWS data services: Amazon S3 &bull; AWS Glue &bull; Amazon Redshift &bull; Amazon EMR &bull; Amazon Athena &bull; Amazon SageMaker &bull; AWS Lambda &bull; AWS Step Functions</li><li>Knowledge of ETL/ELT frameworks and modern data pipeline architecture</li><li>Familiarity with Machine Learning lifecycle management</li><li>Experience with Agile delivery methodologies (Scrum or SAFe)</li><li>Experience using Jira, Confluence, or similar project management tools</li><li>Understanding of cloud security, data governance, and data quality best practices</li></ul> 

Project Management 
<ul><li>Experience managing complex enterprise technology programs</li><li>Experience coordinating onsite and offshore GCC teams</li><li>Strong skills in project planning, dependency management, risk management, and stakeholder communication</li><li>Ability to communicate technical concepts effectively to executive leadership</li></ul> 

Professional Skills 
<ul><li>Excellent verbal and written communication</li><li>Strong organizational and planning abilities</li><li>Ability to manage multiple priorities in a fast-paced environment</li><li>Comfortable working with cross-functional and multicultural teams</li></ul> 

Key Responsibilities 
 
Project Delivery 
<ul><li>Lead end-to-end delivery of Data Engineering and Data Science initiatives</li><li>Define project scope, timelines, milestones, and success metrics</li><li>Manage project plans, RAID logs, risk registers, and executive status reporting</li><li>Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives</li></ul> 

Offshore Team Coordination 
<ul><li>Serve as the primary liaison between onsite stakeholders and offshore GCC teams</li><li>Coordinate work across multiple time zones</li><li>Manage resource planning, priorities, escalations, and delivery governance</li><li>Ensure transparency and accountability across distributed teams</li></ul> 

Technical Leadership 
 
AWS Technologies: Amazon S3 &bull; AWS Glue &bull; Amazon Redshift &bull; Amazon EMR &bull; AWS Lambda &bull; Amazon SageMaker &bull; Amazon Athena &bull; AWS Step Functions 
 
Additional responsibilities include: 
<ul><li>Partner with Data Engineers and Data Scientists</li><li>Support architecture reviews and data pipeline planning</li><li>Coordinate Machine Learning model deployments</li><li>Ensure compliance with cloud security, data governance, and data quality standards</li></ul> 

Stakeholder Management 
<ul><li>Present project updates to executive leadership</li><li>Act as the primary point of contact for business and technology stakeholders</li><li>Identify project risks and drive mitigation plans</li><li>Facilitate collaboration across Engineering, Analytics, Operations, and IT teams</li></ul> 

Preferred Qualifications 
Certifications : PMP &bull; PMI-ACP &bull; Certified Scrum Master (CSM) &bull; SAFe &bull; AWS Cloud Practitioner &bull; AWS Solutions Architect 
Industry Experience :Commercial Airlines &bull; Travel &bull; Transportation &bull; Logistics 
Additional Technical Experience : Kafka &bull; Amazon Kinesis &bull; Tableau &bull; Amazon QuickSight &bull; Microsoft Power BI &bull; DataOps &bull; MLOps 
Domain Knowledge :Passenger Operations &bull; Revenue Management &bull; Fleet Analytics &bull; Loyalty Programs 
 
Before You Apply 
Please ensure you meet most of the following qualifications: 
<ul><li>Experience managing Data Engineering or Data Science programs</li><li>Strong understanding of AWS data services</li><li>Experience leading Agile project teams</li><li>Experience coordinating onsite and offshore teams</li><li>Strong stakeholder management and executive communication skills</li><li>Ability to work in a Hybrid environment</li><li>Valid authorization to work in the United States under one of the accepted work authorization categories</li></ul></div>
</div>
Flexible work from home options available.</div>

Technical Project Manager Data Engineering Data Science

Mashreq

<div>
 Job Description
 
 Designation: Assistant Manager &ndash; RBG Analytics
 
 Department: RBG Analytics
 
 Experience: 6-8 Years
 
 Location: Pakistan
 
 
 Role Purpose
 
 The Assistant Manager &ndash; AI &amp; Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing effectiveness. The role focuses on leveraging customer digital footprint data across digital channels to generate insights, develop predictive models, and optimize digital marketing campaigns and customer journeys.
 
 In addition to traditional machine learning expertise, the role requires foundational AI Engineering capabilities, including familiarity with Large Language Models (LLMs) and their application in banking use cases such as customer support automation, intelligent search, and digital engagement solutions.
 
 The role requires strong analytical capability, technical expertise in machine learning, and the ability to translate digital behavioral data into actionable insights that support business growth and customer experience initiatives.
 
 
 Ability to deliver Use cases in RM Efficiency/Productivity improvement
 
 Ability to do Analytics on Commercial Banking / Corporate Banking Portfolio and Identity Opportunities
 
 Portfolio Analytics on CASA Portfolio to support CASA Squad and Product team
 
 Bringing robust tracking and campaign fulfillment process for Liabilities /Trade Finance/ Working Capital
 
 
 Key Result Areas (KRA)
 
 1. Machine Learning &amp; Predictive Analytics
 
 - Develop and deploy machine learning models to support digital banking use cases such as customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting.
 
 - Implement predictive analytics models to improve customer engagement and product adoption across digital channels.
 
 - Continuously monitor model performance and refine algorithms to improve accuracy and business impact.
 
 Digital Marketing Analytics
 
 - Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights.
 
 - Build models for campaign targeting, customer propensity, and marketing attribution.
 
 - Provide insights on channel effectiveness, campaign ROI, and customer acquisition strategies.
 
 4. AI Engineering &amp; LLM Applications
 
 - Support the design and development of AI-powered solutions using Large Language Models (LLMs) for digital banking use cases.
 
 - Assist in building AI-driven tools such as chatbots, intelligent assistants, knowledge search, and automated content generation.
 
 - Integrate AI models and APIs into banking platforms and analytics workflows.
 
 - Experiment with prompt engineering and model fine-tuning to enhance AI solution performance.
 
 5. Data Preparation &amp; Feature Engineering
 
 - Extract, clean, and transform large datasets from multiple banking systems and digital platforms.
 
 - Develop feature engineering strategies to improve machine learning model performance.
 
 - Work with data engineering teams to ensure efficient data pipelines for analytics use cases.
 
 6. Collaboration with Business &amp; Product Teams
 
 - Work closely with digital banking, marketing, and product teams to identify data-driven opportunities.
 
 - Translate business requirements into analytical models and actionable insights.
 
 - Present findings and recommendations to stakeholders to support strategic decisions.
 
 
 Problem Solving &amp; Decision Making
 
 Analytical Problem Solving
 
 - Analyze complex datasets to identify patterns, anomalies, and opportunities that improve customer engagement and digital banking performance.
 
 - Apply statistical techniques and machine learning methods to solve real business challenges.
 
 AI Solution Design
 
 - Support decision-making related to the selection and application of AI/ML models, including LLM-based solutions for digital banking processes.
 
 - Evaluate trade-offs between model performance, scalability, and usability in production environments.
 
 Data Interpretation &amp; Business Insights
 
 - Translate complex analytical outputs into clear business insights that can inform marketing strategies and product development.
 
 
 Technical Skills
 
 Programming &amp; Data Analysis
 
 - Strong proficiency in Python for machine learning and data analysis.
 
 - Experience with SQL for data extraction and manipulation.
 
 - Knowledge of R is an added advantage.
 
 Machine Learning &amp; AI
 
 - Experience with machine learning algorithms including regression, classification, clustering, and recommendation systems.
 
 - Hands-on experience with libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
 
 AI Engineering &amp; LLM Technologies
 
 - Understanding of Large Language Models (LLMs) and their applications.
 
 - Experience working with LLM APIs and frameworks (e.g., OpenAI APIs, LangChain, or similar frameworks).
 
 - Basic knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG).
 
 - Familiarity with developing AI-enabled applications such as chatbots or knowledge assistants.
 
 Data Processing
 
 - Experience working with large datasets using Pandas, NumPy, and big data frameworks such as PySpark or Spark.
 
 Digital Analytics Tools
 
 - Familiarity with digital analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
 
 - Experience analyzing customer digital behavior and clickstream data.
 
 Data Visualization
 
 - Ability to build dashboards and visualizations using Power BI, Tableau, or similar BI tools.
 
 
 Skills &amp; Competencies
 
 - Strong analytical and problem-solving abilities
 
 - Ability to work with large and complex datasets
 
 - Understanding of digital customer journeys and online behavior analytics
 
 - Foundational understanding of AI engineering concepts and LLM applications
 
 - Effective communication and presentation skills
 
 - Ability to translate analytical insights into business recommendations
 
 - Collaborative approach to working with cross-functional teams
 
 
 Educational Qualifications
 
 Bachelor&rsquo;s or master&rsquo;s degree in one of the following disciplines:
 
 - Computer Science
 
 - Data Science
 
 - Artificial Intelligence
 
 - Statistics
 
 - Engineering or related quantitative field Bottom of Form
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Assistant Manager - Analytics (Mashreq Global Network Pakistan)

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