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VentureDive

At VentureDive, we specialize in building scalable, intelligent solutions that unlock the power of Data and AI. With deep domain expertise, we help enterprises identify and implement high-impact use cases, driving measurable value across industries from proof of concept to full production.

<div>Job Brief: 
We are looking for a Senior Data Engineer to design, build, and optimize modern data platforms on Azure and Snowflake for one of our key clients. You will own end-to-end pipeline development, dimensional modeling, and analytics enablement, working alongside AI tools and coding agents as part of AI-first delivery workflow. 
 
VentureDive Overview: 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
Key Responsibilities<ul><li>
Design and build scalable ETL/ELT pipelines (batch and incremental) on the Azure data stack, ADF, Synapse, ADLS.</li><li>
Architect and optimize Snowflake warehouses, including query performance tuning and cost optimization.</li><li>
Develop dimensional data models (star/snowflake) and dbt models aligned to medallion architecture (bronze/silver/gold).</li><li>
Build Power BI semantic models with DAX-aware backend design to enable fast, reliable analytics.</li><li>
Implement data quality, validation, and monitoring frameworks across pipelines.</li><li>
Enforce data governance standards, lineage, cataloging, access control, and documentation.</li><li>
Collaborate with analysts, data scientists, and client stakeholders to translate business needs into data products.</li><li>
Leverage AI coding agents and copilots to accelerate development, debugging, and code review across the data lifecycle.</li></ul> 

Required Skills<ul><li>
8+ years of hands-on data engineering experience.</li><li>
Strong expertise across the Azure data stack: Azure Data Factory, Synapse, and ADLS.</li><li>
3&ndash;5 years on Snowflake: schema design, performance tuning, and cost/warehouse optimization.</li><li>
Solid ETL/ELT pipeline experience covering both batch and incremental load patterns.</li><li>
Dimensional modeling expertise (star and snowflake schemas) for analytics workloads.</li><li>
Hands-on dbt for data modeling, testing, and documentation.</li><li>
Power BI semantic model optimization with awareness of DAX-driven backend design.</li><li>
Practical experience with data quality, validation frameworks, and pipeline monitoring.</li><li>
Working knowledge of medallion architecture and data governance practices.</li><li>
AI fluency: uses Claude, ChatGPT, Cursor, GitHub Copilot, or similar tools as a daily part of the workflow.</li><li>
Comfortable working with coding agents end-to-end, from scaffolding pipelines and writing SQL/Python to generating tests, refactoring, and documentation.</li><li>
Critical thinking around AI output, validates, reviews, and refines AI-generated code rather than accepting it blindly.</li></ul> 

Nice to Have<ul><li>
Experience with Microsoft Fabric or Databricks.</li><li>
Exposure to streaming/real-time pipelines (Kafka, Event Hubs).</li><li>
Familiarity with CI/CD for data (Azure DevOps, GitHub Actions) and Infrastructure-as-Code (Terraform).</li><li>
Snowflake or Azure certifications.</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
#LI-Hybrid
cALHBgaDyE</div>

Senior Data Engineer

<div>Job Brief: 
Senior Product Manager to lead product discovery, validation, and unit-economics across multiple FinTech and AI-native ventures. You will work as part of a multi-disciplinary squad &mdash; alongside Solution Architects, AI Engineers using rapid-development tooling (Replit, Lovable, Cursor, v0), UX designers, and a Technical PM &mdash; to take multiple raw use-case ideas through pain value proposition functional prototype real-world validation in a single integrated programme. 
You will partner closely with internal and external strategy teams, including domain Business Analysts, to develop and execute product strategy. You will own the product-management spine that turns their insight into investable concepts. 
 
VentureDive Overview: 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
What you'll own<ul><li>
Discovery &amp; opportunity framing. Translate raw business hypotheses into validated problem statements. Run Jobs-To-Be-Done mapping, customer interviews, and opportunity sizing across parallel prototypes working alongside domain BAs.</li><li>
Value proposition &amp; unit economics. Define the value prop, price point, channel hypothesis, and unit-economics shape for each venture. You should be comfortable building bottom-up cost / revenue models and stress-testing them with operators.</li><li>
Prototype scope &amp; MVP definition. Translate value prop into an 80/20 prototype scope. Work with Solution Architects on architectural trade-offs (we use NASA ATAM) and with AI Engineers on what gets wired up first. Decide what's in, what's out, what's a fast-follow.</li><li>
Validation &amp; PM-fit signal. Design the validation plan &mdash; activation events, retention cohorts, funnel-drop tracking, qualitative interview themes. Capture signal into a PM-fit recommendation that drives the go / iterate / kill call for each venture.</li><li>
Stakeholder management. Hold the room with senior stakeholders, strategy partners, and external advisors. Translate technical complexity for business audiences and commercial reality for engineering audiences. Defend the recommendation.</li></ul> 

Must-have experience<ul><li>
8+ years in product management, with at least 3 years in a venture-building, 0-to-1, or new-product-creation context (corporate venture studio, accelerator, founding PM at an early-stage startup, or equivalent in-house innovation function).</li><li>
Direct experience with AI / ML products as the product owner &mdash; not just adjacent. You have shipped at least one product where the AI / ML capability was the differentiator, and you can speak credibly about model behaviour, training data, and the gap between AI demo and AI in production.</li><li>
FinTech track record. You have shipped products in FinTech &mdash; payments, lending, credit decisioning, embedded finance, wealth, insurance, or similar regulated consumer / SME finance. You understand compliance is a constraint, not an obstacle.</li><li>
Rapid-prototyping fluency. You're comfortable with AI-augmented build tooling (Replit, Lovable, Cursor, v0, Bolt, Google AI Studio) and you've used them &mdash; directly or via your engineering counterpart &mdash; to compress build time from months to weeks.</li><li>
Validation discipline. You know what activation, retention, funnel, and PM-fit signals to read for an early-stage venture. You've called &quot;kill&quot; on something promising before the data forced it. You know the difference between vanity metrics and decision metrics.</li><li>
Commercial literacy. You can build a unit-economics model in a spreadsheet without help. You can sit in a room with strategy consultants and operators and credibly defend a price point.</li></ul> 

Strong-to-have<ul><li>
Experience working alongside Tier-1 strategy consultancies (McKinsey, BCG, Bain, Oliver Wyman, Strategy&amp;).</li><li>
MENA, GCC, or KSA market experience &mdash; particularly with regulated FinTech (SAMA, CMA, central-bank licensing).</li><li>
Telco-data or enterprise-data product experience &mdash; turning a large customer / behavioural data asset into monetisable features (segmentation, propensity, churn, credit scoring, fraud).</li><li>
Direct-to-consumer FinTech app experience at scale (1M+ users).</li><li>
Arabic language fluency or working-level proficiency.</li><li>
Founding or early-team experience at a FinTech that has raised institutional capital.</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
#LI-Hybrid
5DwKgzkAe8</div>

Senior Product Manager

Join VentureDive and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

VentureDive

About Company

Senior Data Engineer

Senior Product Manager