Snowflake Data & Analytics Engineering Manager Job at SDG (Cairo)

FLEX Senior Manager, Onsite Digital Data Management

This is a temporary position. We are looking for a Sr Manager, Owned Channels Di...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data management, analytics, and marketing technology OR 2+ years of experience in data management, analytics and marketing technology with a Master's degree
Proven expertise in designing and engineering complex data flows for customer data & audience development with proficiency in SQL
In-depth knowledge and hands-on experience with full funnel tag management and digital analytics platforms (e.g., Adobe Analytics, Google Analytics etc.)
Strong understanding of marketing and ad technologies, customer data platforms (CDP), and cloud data warehouses (e.g., Snowflake, AWS)
Proven ability to deliver impactful results while managing complex, high-stakes initiatives with ambiguity and cross-functional collaboration
Strong leadership skills with a track record of working closely with marketing, digital, and technology teams to drive data strategy and innovation

Job Responsibility

Provide leadership, consulting, and information expertise to achieve the goals for marketing & media
Work with MarTech and IT teams to develop and deploy an effective digital & customer data infrastructure
Contribute to data strategy, data management, and enhanced data products for use by the Marketing discipline
Contribute to the broader data strategy and effectively prioritize implementation tactics for onsite data to ensure they are in line with overall organizational goals and long-term business strategies
Work closely with the marketing and analytics teams to identify key performance indicators (KPIs) and data requirements necessary for optimizing segmentation strategies and enhancing ROI
Manage vendors/technical staff to build the infrastructure to support data & reporting solutions in AWS, Snowflake, Adobe etc
Oversee development of systems and technologies that reduce manual processes and data quality issues relating to data capture
Partner with Analytics and IT to build Data Management, Analytics and Reporting roadmaps for future years
Partner with business leadership to secure funding for critical Data Management & IT programs

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Data Engineering Manager

We are looking for a talented Data Engineering Manager with over 8 years of expe...

Location

India , Bengaluru

Salary:

Not provided

6sense

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role
Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools
Proficiency in programming languages such as Python and Java
experience with Scala is a plus
Proven track record of designing and implementing scalable data systems and pipelines
Excellent leadership, communication, and interpersonal skills
Strong problem-solving and analytical abilities and a proactive approach to addressing challenges
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.

Job Responsibility

Lead, mentor and manage a team of data engineers, and tech leads
Build, hire and grow the team
Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions
Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies
Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop
Ensure data quality, consistency, and security across all data systems
Relentlessly pursue goals on data coverage, data freshness, data quality and key performance & SLA metrics
Have high technical competence and background with track record of individual technical accomplishments
Play the role of the architect for the team
Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption

What we offer

Health coverage
Paid parental leave
Generous paid time-off and holidays
Quarterly self-care days off
Stock options
Equipment and support for remote or onsite work
Learning and development initiatives including LinkedIn Learning
Quarterly wellness education sessions
ERG-hosted events.

Fulltime

Director, Data Engineering & Analytics

We are seeking a proven Data and Analytics leader to run our data team. This rol...

Location

United States , Washington, DC

Salary:

165000.00 - 295625.00 USD / Year

Arcadia

Expiration Date

Until further notice

Requirements

Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
12+ years in the workforce with significant experience in data-intensive environments
Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
Experience with data governance, security, and compliance in handling sensitive customer data

Job Responsibility

Build, lead, and scale a successful data organization
Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
Ensure data quality and that we are building our products to give our customers the insight they need
Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases

What we offer

competitive benefits and equity component to the package

Fulltime

Customer & Marketing Data Engineering Manager

This hybrid role blends marketing strategy, customer analytics, and hands-on eng...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Job Responsibility

Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes

Data & Analytics Engineer

Join the best engineering team in media. Morning Brew Inc. is looking for a mid-...

Location

United States

Salary:

150000.00 - 170000.00 USD / Year

Morning Brew Inc.

Expiration Date

Until further notice

Requirements

5+ years of experience in data modeling, querying and developing for cloud data warehouse, and pipeline development
Strong proficiency in SQL, with a track record of writing and optimizing complex queries for large datasets
Experience with DBT (or similar data transformation tools)
Experience in Python or a similar scripting language for building data applications

Job Responsibility

Modeling and serving data that powers our business at every level
Improving the data architecture and adapting to new and changing business requirements
Working with leadership, product engineering, product management, analytics and insights teams to develop and sustain our first party data strategy
Working with the rest of the Product team to ensure the data stack can stay in lock step with the product software stack
Working to not only model and serve data but to tell stories with it

What we offer

401(k) employer match
Premium health, vision, and dental plans
Mental health benefits
Extra help when you need it: including a care concierge, plus free access to One Medical and the Calm app
Family planning: Generous paid parental leave and fertility coverage for eligible employees
Employee Resource Groups: Black Coffee, LGBTQ Brew, AAPI Brew, Cafe Con Leche, and Grounded
Gym and workout class reimbursements
Annual learning credit

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data Analytics Engineer

Beacon Biosignals is seeking an experienced data analytics engineer to strengthe...

Location

United States , Boston

Salary:

Not provided

Beacon Biosignals

Expiration Date

Until further notice

Requirements

Extensive experience developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
Proficiency in a scientific programming language such as Julia, Python, or R
A rigorous approach to documentation and automated testing
Experience deploying automated analytics pipelines to a production environment, monitoring their performance, and maintaining them over time
A collaborative mindset
Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
Product-oriented intuition for turning individual stakeholder needs into configurable solutions and broadly applicable features
Familiarity with or interest in learning about analyses that power clinical trials, clinical diagnostics, or other medical applications that leverage data organization, transformation, and statistics

Job Responsibility

Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by Beacon's biosignal data warehouse
Ensure that data pipelines and products produce reproducible results by owning CI test suites and versioning strategies for data models, dashboards, and reports
Build reusable, scalable customer-facing analytics products, such as automated scientific reports and dashboards that can be configured and reused without custom engineering
Improve user documentation and tooling to enable customers and internal scientists to use the analytics layer surface to answer new scientific questions
Deploy and monitor analytics and feature computation services that transform raw biosignal data and clinical metadata to generate meaningful scientific results
Collaborate with scientific subject matter experts, product managers, and customers to identify high-impact analytics improvements that accelerate therapy development

What we offer

Equity
PTO

Data Project Manager

As a Technical Project Manager (Data Engineering), you will play a key role in e...

Location

Argentina , Buenos Aires

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Excellent command of English is essential
Spanish will be the primary working language
Solid experience managing data or analytics projects end-to-end, ideally in a fast-paced tech, SaaS, or consulting environment
Understand how data models, ETL pipelines, and reporting systems work
Comfortable discussing project timelines with stakeholders and schema design with developers
Thrive in fast-moving environments with evolving definitions and ambiguity
Excellent communication skills in English and Spanish
Familiarity with tools like Snowflake, DBT, Airflow, DataHub, or BI platforms (Metabase, Superset, Looker, etc.) is a plus

Job Responsibility

Partner closely with Data Engineering Tech Leads, Product Managers, and Project Managers to scope, plan, and deliver data and reporting solutions
Collaborate closely with the Tech Leads to embed partner needs into the technical roadmap and delivery priorities
Meet with partners to discuss data-related projects, gather requirements, and present progress or deliverables
Collaborate with Business Development, Project Management, and Growth teams to align requirements and timelines
Prepare and deliver presentations and demos to partners showcasing Fever’s data products and capabilities
Develop a deep understanding of Fever’s data model, business processes, partner-facing dashboards, data products, APIs
Translate business questions into precise technical specifications for engineers and data teams
Monitor and manage project timelines, milestones, and dependencies
Identify and propose technologies or process improvements
Contribute actively to the execution of the Data Engineering vision

What we offer

OSDE 410 as medical insurance
English Lessons
WellHub Membership
40% discount on all Fever events and experiences
Home office friendly anywhere in Argentina
Opportunity to have a real impact
Responsibility from day one and professional and personal growth
Great work environment with a young, international team
Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance (including Base, Variable, and Stock Options)

Fulltime

Snowflake Data & Analytics Engineering Manager

SDG

Location:
Egypt , Cairo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

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