BI & Data Engineer

Idealz Holding

Dubai

On-site

AED 420,000 - 600,000

Full time

14 days+
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Benefits offered by this job

Competitive package
Performance incentive

Job summary

Idealz Holding in Dubai seeks a senior BI & Data Engineer to lead the data agenda across marketing, finance, operations and product. You will design pipelines, consolidate data sources, and build scalable data warehouses and executive dashboards to enable faster, smarter business decisions.

The role requires 7–10 years in BI/Data roles, strong SQL and data modelling, cloud experience (Snowflake, BigQuery, Redshift, AWS or Azure), and Python.

Qualifications

  • 7–10 years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or Commercial Analytics roles.
  • Strong hands-on expertise in SQL and data modelling.
  • Experience building and maintaining modern data warehouses and ETL/ELT pipelines.
  • Strong proficiency with BI tools such as Power BI, Tableau, Looker, or similar platforms.
  • Experience with cloud platforms such as Snowflake, BigQuery, Redshift, AWS, or Azure.
  • Working knowledge of Python for data processing, automation, or analytics.
  • Strong understanding of customer analytics, commercial performance, and business KPIs.
  • Experience supporting performance marketing analytics, attribution, ROAS, CAC, LTV, SKAN, and digital funnel measurement.
  • Ability to deliver both descriptive and predictive analytics.
  • Strong commercial acumen with the ability to identify growth opportunities through data.
  • Excellent stakeholder management and communication skills.
  • Experience working with executive leadership and presenting business insights.

Responsibilities

  • Lead the organization's BI and data strategy, ensuring data supports business growth and decision-making.
  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Consolidate data from marketing, CRM, finance, operations, customer, product, and performance marketing platforms into a unified data environment.
  • Build and optimize data warehouses, semantic layers, and reporting frameworks.
  • Develop executive dashboards and business intelligence solutions that support leadership decision-making.
  • Partner with commercial, strategy, marketing, product, finance, and operations teams to identify business opportunities through data.
  • Deliver forward-looking analytics, forecasting models, and predictive insights.
  • Support performance marketing teams through attribution analysis, funnel reporting, customer acquisition insights, ROAS analysis, SKAN reporting, and media performance measurement.
  • Identify opportunities to improve customer acquisition, retention, campaign ROI, and operational efficiency.
  • Champion data governance, quality standards, and reporting consistency across the organization.
  • Act as the bridge between technical teams and business stakeholders, translating complex data into actionable recommendations.

Skills

SQL
Data modelling
ETL/ELT pipelines
Stakeholder management
Executive communication
Analytics storytelling
Business acumen
Problem solving

Education

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, or related fields

Tools

Power BI
Tableau
Looker
Snowflake
BigQuery
Redshift
AWS
Azure
Python

Job description

At a Glance

Position: BI & Data Engineer


Team: Commercial Growth


Location: Dubai, United Arab Emirates


Contract: Full-time


Type: On-site


Benefits: Competitive package with performance incentive



About Us

At Idealz Holding, we’re redefining retail through our pioneering “Shop & Win” model — transforming everyday shopping into extraordinary experiences. With operations across 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data.


As we continue to scale globally, data has become one of our most valuable strategic assets. We are looking for a senior BI & Data Engineer who can build robust data foundations, drive business intelligence, and help leadership make faster, smarter, and more commercially impactful decisions.



Role Description

We are seeking a highly analytical and commercially minded BI & Data Engineer who can combine deep technical expertise with strong business acumen.


You will work across multiple departments to consolidate data, establish reporting frameworks, build scalable infrastructure, and deliver forward‑looking insights that influence revenue, customer growth, marketing effectiveness, and operational performance.


This is not purely an engineering role. We are looking for someone senior enough to lead the organization's BI and data agenda while remaining hands‑on with architecture, pipelines, reporting, and analytics.



What You’ll Be Doing


  • Lead the organization's BI and data strategy, ensuring data supports business growth and decision‑making.

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.

  • Consolidate data from marketing, CRM, finance, operations, customer, product, and performance marketing platforms into a unified data environment.

  • Build and optimize data warehouses, semantic layers, and reporting frameworks.

  • Develop executive dashboards and business intelligence solutions that support leadership decision‑making.

  • Partner with commercial, strategy, marketing, product, finance, and operations teams to identify business opportunities through data.

  • Deliver forward‑looking analytics, forecasting models, and predictive insights.

  • Support performance marketing teams through attribution analysis, funnel reporting, customer acquisition insights, ROAS analysis, SKAN reporting, and media performance measurement.

  • Identify opportunities to improve customer acquisition, retention, campaign ROI, and operational efficiency.

  • Champion data governance, quality standards, and reporting consistency across the organization.

  • Act as the bridge between technical teams and business stakeholders, translating complex data into actionable recommendations.



Skills & Qualifications


  • 7–10 years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or Commercial Analytics roles.

  • Strong hands‑on expertise in SQL and data modelling.

  • Experience building and maintaining modern data warehouses and ETL/ELT pipelines.

  • Strong proficiency with BI tools such as Power BI, Tableau, Looker, or similar platforms.

  • Experience with cloud platforms such as Snowflake, BigQuery, Redshift, AWS, or Azure.

  • Working knowledge of Python for data processing, automation, or analytics.

  • Strong understanding of customer analytics, commercial performance, and business KPIs.

  • Experience supporting performance marketing analytics, attribution, ROAS, CAC, LTV, SKAN, and digital funnel measurement.

  • Ability to deliver both descriptive and predictive analytics.

  • Strong commercial acumen with the ability to identify growth opportunities through data.

  • Excellent stakeholder management and communication skills.

  • Experience working with executive leadership and presenting business insights.

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, or related fields.



The Process


  1. Initial screening with Global Head of HR

  2. Technical and commercial interview with Strategy & Technology

  3. Data architecture and BI analytics case study

  4. Interview with General Manager

  5. Final interview with CEO


Entire process typically concludes within 4–6 weeks.



Why Join Idealz

At Idealz Holding, you’ll join a fast‑paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the organization's data backbone while influencing commercial strategy on a global stage.


You’ll have the freedom to build, the tools to innovate, and the platform to influence business decisions at the highest level. If you're equally passionate about data engineering, business intelligence, and commercial strategy — this is the role for you.


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