project engineer

estimation engineer

sales engineer

business analyst

planning engineer

data engineer

Impronics Technologies

<div><h3 class="jobSectionHeader"><b>Role Overview: Senior Data Engineer</b></h3><div>
As a <b>Senior Data Engineer</b>, you will be responsible for designing, developing, and operationalizing advanced data platform components. You will work within <b>cross-functional agile pods</b>, closely collaborating with architects, technical leads, and client stakeholders to deliver scalable and secure data solutions.</div><div>
This is a <b>hands-on engineering role</b> requiring strong technical skills, a deep understanding of modern data architectures, and experience in delivering production-grade solutions in cloud environments &mdash; particularly within <b>Microsoft Azure</b>.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div>
Design and build robust <b>data pipelines, models, and integrations</b> aligned with program objectives.</div><div>
Implement data platform components using:</div><div><b>
Microsoft Fabric</b>, <b>Azure Data Factory</b>, <b>Azure Synapse</b>, <b>ADLS</b>, <b>Microsoft Purview</b>, <b>Profisee</b>, <b>Erwin Mart</b>, and <b>Terraform</b>.</div><div>
Develop data transformation and automation solutions using <b>Python</b>, <b>SQL</b>, and <b>Notebooks</b>.</div><div>
Establish and maintain <b>CI/CD pipelines</b> using <b>Azure DevOps</b> for streamlined deployment and testing.</div><div>
Support modernization of legacy data infrastructure into a <b>scalable, cloud-native platform</b>.</div><div>
Apply best practices in <b>data governance</b>, <b>metadata management</b>, and <b>Master Data Management (MDM)</b>.</div><div>
Collaborate with stakeholders to resolve technical challenges and meet tight delivery timelines.</div><div>
Conduct performance tuning, validation, and testing of data pipelines and components.</div><div>
Maintain clear documentation for all data processes, configurations, and architectures.</div><div>
Contribute to ongoing troubleshooting, optimization, and support activities.</div><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><div><b>
7+ years</b> of professional experience in <b>data engineering</b> or <b>data platform development</b>.</div><div>
Deep expertise in:</div><div><b>
Python</b> and <b>SQL</b> for data transformation and automation.</div><div><b>
Azure Data Factory</b>, <b>Synapse Analytics</b>, and <b>Azure Data Lake Storage (ADLS)</b>.</div><div><b>
Microsoft Fabric</b> for data integration, transformation, and analytics.</div><div><b>
Microsoft Purview</b> for data governance and cataloging.</div><div><b>
Profisee</b> for Master Data Management (MDM).</div><div><b>
Erwin Mart</b> for data modeling and metadata management.</div><div><b>
Terraform</b> for Infrastructure as Code (IaC).</div><div><b>
Azure DevOps</b> for CI/CD pipelines and release automation.</div><div>
Strong understanding of <b>data governance</b>, <b>metadata standards</b>, and <b>regulatory compliance</b>.</div><div>
Experience working on <b>large-scale, mission-critical data platforms</b> in enterprise or public sector environments.</div><div>
Proven ability to work in <b>client-facing roles</b>, handling multiple stakeholders.</div><div>
Excellent <b>problem-solving</b>, <b>debugging</b>, and <b>communication skills</b>.</div><div>
Availability to <b>start immediately</b> for a high-visibility, short-term project.</div></div><div></div>

Senior Data Engineer

Global Metrics

<p><b>Vertica Data Engineer </b></p><p><b>Experience :</b> 4+ years (Relevant)<br/><b>Location: </b>Dubai (Onsite)<br/><b>Notice Period : </b>Immediate - 30 days</p><p><b>Job Summary:</b></p><p>As a Vertica Data Engineer, you will be responsible for architecting, developing, and maintaining our Vertica database systems and data pipelines. You will work closely with cross-functional teams, including data scientists, analysts, and developers, to ensure seamless data integration, transformation, and retrieval from Vertica. Your expertise in Vertica's architecture, ETL processes, data modeling, and performance tuning will be crucial in delivering robust and scalable data solutions to support our business objectives. Responsible to migrate data from Oracle, SQL Server to VERTICA Database on timely manner.</p><p><b>1. Roles &amp; Responsibility:</b></p><ul><li>Design and implement efficient data pipelines to extract, transform, and load (ETL) data from various sources into Vertica using Popular ETL Tools like (SAP BODS, INFORMATICA).</li><li>Develop and maintain data models and database structures optimized for high-performance data retrieval and analysis in Vertica.</li><li>Experience in Migrating data from <b>Oracle/SQL Server/SQ Lite</b> to VERTICA Database</li><li>Write Program units (Functions/Procedures) to prepare Data based on the Business requirements.</li><li>Collaborate with data scientists and analysts to understand their data needs and provide scalable solutions to meet analytical requirements.</li><li>Implement data quality checks and data validation processes to ensure the accuracy and integrity of data stored in Vertica.</li><li>Experience in <b>VerticaPy</b> to work with Machine Learning Libraries for Data science use cases</li><li>Work with the DevOps team to ensure smooth deployment, monitoring, and maintenance of Vertica instances.</li><li>Optimize database performance and query execution through indexing, partitioning, and other performance tuning techniques.</li><li>Monitor Vertica database health, troubleshoot performance issues, and proactively address potential bottlenecks.</li><li>Collaborate with data engineers and other stakeholders to define best practices and data governance standards for Vertica usage.</li><li>Stay up-to-date with the latest advancements in Vertica and big data technologies and recommend improvements to existing solutions.</li><li>Document technical specifications, data flows, and architectural designs related to Vertica implementations.</li><li>Provide training and support to end-users to enable them to navigate and interact with Power BI reports effectively</li></ul><p><b>2. Skill Requirements</b>:</p><ul><li>Vertica Certification is a plus.</li><li>Experience with data visualization tools (e.g., Power BI, SAP BI, SAS, Tableau) for data reporting and dashboard creation is beneficial.</li></ul><p><b>4. Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field</li></ul><p><b>5. Preferred Experience</b></p><p>1. Proven experience as a Data Engineer or similar role with hands-on expertise in designing and managing data solutions in Vertica.</p><p>2. Strong proficiency in SQL and experience with data modeling and schema design in Vertica.</p><p>3. In-depth knowledge of ETL processes and tools, particularly for data integration into Vertica.</p><p>4. Familiarity with other big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is advantageous.</p><p>5. Understanding of data warehousing concepts and best practices.</p><p>6. Experience in performance tuning and optimization of Vertica databases.</p><p>7. Familiarity with Linux environments and shell scripting for data-related automation tasks is a plus.</p><p>8. Excellent problem-solving skills and the ability to handle large datasets effectively.</p><p>9. Strong communication and collaboration skills to work effectively within a team-oriented environment.</p><p>10. Self-motivated, with the ability to work independently and manage multiple tasks and projects simultaneously.</p><p>Job Type: Full-time</p><p>Pay: AED12,000.00 - AED17,000.00 per month</p><p>Application Question(s):</p><ul><li>Do you have hands-on expertise in designing and managing data solutions in Vertica?</li></ul><p>Experience:</p><ul><li>Relevant: 4 years (Preferred)</li></ul>

Vertica Data Engineer

Washmen

<div><div><b>Position Overview</b></div><div>
We're seeking a self-sufficient Senior Data Engineer to build and scale our data infrastructure supporting product, engineering and analytics team. You'll architect data pipelines, optimize our data platform, and ensure the teams have reliable, high-quality data to drive business decisions.</div><div>
This is a hands-on role for someone who can own the entire data engineering stack - from ingestion to transformation to orchestration. You'll work independently to solve complex data challenges and build scalable solutions.</div><div></div><div><b><br>
Core Responsibilities</b></div><div></div><div><b><br>
Data Pipeline Development &amp; Optimization</b></div><div>
Design, build, and maintain scalable data pipelines using Spark and Databricks</div><div>
Develop ETL/ELT workflows to process large volumes of customer behavior data</div><div>
Optimize Spark jobs for performance, cost efficiency, and reliability</div><div>
Build real-time and batch data processing solutions</div><div>
Implement data quality checks and monitoring throughout pipelines</div><div>
Ensure data freshness and SLA compliance for analytics workloads</div><div></div><div><b><br>
AWS Data Infrastructure</b></div><div>
Architect and manage data infrastructure on AWS (S3, Glue, EMR, Redshift)</div><div>
Design and implement data lake architecture with proper partitioning and optimization</div><div>
Configure and optimize AWS Glue for ETL jobs and data cataloging</div><div>
Shifting Glue jobs to Zero ETL</div><div>
Implement security best practices for data access and governance</div><div>
Monitor and optimize cloud costs related to data infrastructure</div><div></div><div><b><br>
Data Modeling &amp; Architecture</b></div><div>
Design and implement dimensional data models for analytics</div><div>
Build star/snowflake schemas optimized for analytical queries</div><div>
Create data marts for specific business domains (retention, campaigns, product)</div><div>
Ensure data model scalability and maintainability</div><div>
Document data lineage, dependencies, and business logic</div><div>
Implement slowly changing dimensions and historical tracking</div><div></div><div><b><br>
Orchestration &amp; Automation</b></div><div>
Build and maintain workflow orchestration using Airflow or similar tools</div><div>
Implement scheduling, monitoring, and alerting for data pipelines</div><div>
Create automated data quality validation frameworks</div><div>
Design retry logic and error handling for production pipelines</div><div>
Build CI/CD pipelines for data workflows</div><div>
Automate infrastructure provisioning using Infrastructure as Code</div><div></div><div><b><br>
Cross-Functional Collaboration</b></div><div>
Partner with Senior Data Analyst to understand analytics requirements</div><div>
Work with Growth Director and team to enable data-driven decision making</div><div>
Support CRM Lead with data needs for campaign execution</div><div>
Collaborate with Product and Engineering on event tracking and instrumentation</div><div>
Document technical specifications and best practices for the team</div><div>
Work closely with all squads , establish data contracts with engineers to land data in a most optimal way.</div><div></div><div><b><br>
Required Qualifications</b></div><div></div><div><b><br>
Must-Have Technical Skills</b></div><div><b>
Apache Spark</b>: Expert-level proficiency in PySpark/Spark SQL for large-scale data processing - this is non-negotiable</div><div><b>
Databricks</b>: Strong hands-on experience building and optimizing pipelines on Databricks platform - this is non-negotiable</div><div><b>
AWS</b>: Deep knowledge of AWS data services (S3, Glue, EMR, Redshift, Athena) - this is non-negotiable</div><div><b>
Data Modeling</b>: Proven experience designing dimensional models and data warehouses - this is non-negotiable</div><div><b>
Orchestration</b>: Strong experience with workflow orchestration tools (Airflow, Prefect, or similar) - this is non-negotiable</div><div><b>
SQL</b>: Advanced SQL skills for complex queries and optimization</div><div><b>
Python</b>: Strong programming skills for data engineering tasks</div><div></div><div><b><br>
Experience</b></div><div>
6-10 years in data engineering with focus on building scalable data platforms</div><div>
Proven track record architecting and implementing data infrastructure from scratch</div><div>
Experience processing large volumes of event data (billions of records)</div><div>
Background in high-growth tech companies or consumer-facing products</div><div>
Experience with mobile/web analytics data preferred</div><div></div><div><b><br>
Technical Requirements</b></div><div>
Expert in Apache Spark (PySpark and Spark SQL) with performance tuning experience</div><div>
Deep hands-on experience with Databricks (clusters, jobs, notebooks, Delta Lake)</div><div>
Strong AWS expertise: S3, Glue, EMR, Redshift, Athena, Lambda, CloudWatch</div><div>
Proficiency with orchestration tools: Airflow, Prefect, Step Functions, or similar</div><div>
Advanced data modeling skills: dimensional modeling, normalization, denormalization</div><div>
Experience with data formats: Parquet, Avro, ORC, Delta Lake</div><div>
Version control with Git and CI/CD practices</div><div>
Infrastructure as Code: Terraform, CloudFormation, or similar</div><div>
Understanding of data streaming technologies (Kafka, Kinesis) is a plus</div><div></div><div><b><br>
Core Competencies</b></div><div><b>
Self-sufficient</b>: You figure things out independently without constant guidance</div><div><b>
Problem solver</b>: You diagnose and fix complex data pipeline issues autonomously</div><div><b>
Performance-focused</b>: You optimize for speed, cost, and reliability</div><div><b>
Quality-driven</b>: You build robust, maintainable, and well-documented solutions</div><div><b>
Ownership mindset</b>: You take end-to-end responsibility for your work</div><div><b>
Collaborative</b>: You work well with analysts and business stakeholders despite being independent</div><div></div><div><b><br>
Nice-to-Have</b></div><div>
Databricks certifications (Data Engineer Associate/Professional)</div><div>
Experience with dbt for data transformation</div><div>
Knowledge of customer data platforms (Segment, mParticle, Rudderstack)</div><div>
Experience with event tracking platforms (Mixpanel, Amplitude)</div><div>
Familiarity with machine learning infrastructure and MLOps</div><div>
Experience in MENA region or emerging markets</div><div>
Background in on-demand services, marketplaces, or subscription businesses</div><div>
Knowledge of real-time streaming architectures</div><div></div><div><b><br>
What We Offer</b></div><div>
Competitive salary based on experience</div><div>
Ownership of critical data infrastructure and architecture decisions</div><div>
Work with modern data stack and cutting-edge AWS technologies</div><div>
Direct impact on business decisions through data platform improvements</div><div>
Comprehensive health benefits</div></div><div></div>

مجموعة الطاير

<div></div><div><p><b>Al Tayer Insignia | Junior Data Engineer</b></p><p></p><p><b><br>
About Us</b></p><p></p><p><br>
As a leader in luxury retail in the Middle East, Al Tayer Group's retail division, Al Tayer Insignia, hosts a portfolio of some of the world&rsquo;s best luxury brands in the fashion, jewellery, home, and department store categories. Complementing its position in luxury retail, Al Tayer Insignia has also built new frontiers in lifestyle retail, representing leading brands in the Beauty, Home, Fashion and Hospitality sectors. Our brands include Bloomingdales, Harvey Nichols, Armani and newly added Gymshark and The White Company, to name just a few!</p><p></p><p><b><br>
About The Role</b></p><p></p><p><br>
As a Junior Data Engineer, your role is fundamental in supporting our data infrastructure and operations. You will be responsible for supporting internal and external stakeholders with data for key decision making. Working collaboratively with end users to develop reporting systems that provide accessible information for decision-making. Your primary goal is to contribute to the efficient and reliable flow of warehouse data within the organization, ensuring data quality, integrity, and availability for use in analytics, reporting, and decision-making.</p><p></p><p><b><br>
What You&rsquo;ll Be Doing</b></p><p></p><p><br>
o Proficiency in creating comprehensive dashboards and interactive visualizations using enterprise BI platforms (Tableau, Power BI, or MicroStrategy) to transform complex data into clear, actionable insights.</p><p>
o Ability to design and develop compelling data narratives and analytical reports that effectively communicate business performance, trends, and recommendations to stakeholders across all organizational levels.</p><p>
o Support in developing data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.</p><p>
o Work with Data Manager to support with AWS services such as AWS Glue, AWS Data Pipeline, and Amazon S3 to build robust data processing workflows , api gateways .</p><p>
o Reutilize existing templates in Tableau to Help with troubleshooting data-related issues , identify bottlenecks.</p><p>
o Help develop and maintain data pipelines for efficient data extraction, transformation, and loading.</p><p>
o Support database administration tasks including schema design, indexing, and performance optimization.</p><p>
o Assist in the development and maintenance of ETL processes to ensure data quality and integrity.</p><p>
o Collaborate with team members to design and implement data models and warehouses for analytics.</p><p>
o Participate in troubleshooting and resolving technical issues related to data infrastructure.</p><p>
o Contribute to documentation and knowledge sharing to support team collaboration and continuity.</p><p></p><p><b><br>
About You</b></p><p></p><p><br>
o Bachelor&rsquo;s degree in computer science, Software Engineering, or related field.</p><p>
o 2+ years of experience in a BI Developer or Data Engineering role for an eCommerce, transaction-based Retailer, omnichannel strongly advantageous</p><p>
o Strong understanding of data engineering concepts, including data pipelines, ETL processes, and data modelling.</p><p>
o Proficiency in programming languages such as Python, Java, or Scala.</p><p>
o Experience with SQL and warehousing concepts/ databases (e.g., PostgreSQL, MySQL).</p><p>
o Experience with big data technologies such as Hadoop, Spark, or Kafka.</p><p>
o Knowledge of data visualization tools such as Tableau, Power BI, or Looker.</p><p>
o Understanding of machine learning concepts and algorithms.</p><p>
o Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</p><p>
o Knowledge cloud Data Warehousing platforms, preferably Google BigQuery</p><p>
o Cloud computation &ndash; Basics of GCP or AWS.</p><p>
o Knowledge of ETL platforms like FiveTran</p></div>

Junior Data Engineer

emaratech

<div><p>About the Role</p><p>
We are seeking a highly skilled and experienced Data Lake Cloud Engineer with a proven track record of designing, implementing, and maintaining large-scale cloud-based data lake platforms. This role requires a professional who can take ownership of our current data lake ecosystem, optimize its performance, and drive future enhancements with minimal oversight. The ideal candidate will have at least 5 years of hands-on experience in building enterprise-grade data lakes, strong cloud architecture expertise, and the ability to work with cutting-edge data ingestion, processing, and analytics tools.</p><p></p><p><br>
Key Responsibilities</p><br>
<p></p><ul>
<li>
Take ownership of the existing enterprise data lake platform, ensuring scalability, reliability, and performance.</li>
<li>Lead the design, architecture, and implementation of cloud-native data lake solutions and integrations.</li>
<li>Manage and optimize data ingestion pipelines on Oracle OCI, using tools such as Apache NiFi, Kafka, Batch Processing of data, Data captures, and or CSV.</li>
<li>Design and implement pipelines for network data ingestion and file formats (e.g., Parquet, Avro, OCR, etc.), ensuring efficient storage, processing, and retrieval.</li>
<li>Build, configure, and tune query engines such as Trino (Presto), Spark, and Hive for efficient analytics and reporting.</li>
<li>Implement and maintain metadata management, data governance, and security frameworks.</li>
<li>Monitor and troubleshoot system performance, ensuring SLAs are met for ingestion, processing, and query workloads.</li>
<li>Automate platform deployment, monitoring, and maintenance with Infrastructure-as-Code (Terraform, CloudFormation, etc.).</li>
<li>Collaborate with data engineers, analysts, and business teams to understand data requirements and deliver solutions that maximize data accessibility and usability.</li>
<li>Keep the data platform up to date with the latest open-source and cloud-agnostic technologies, implementing upgrades and enhancements where needed.</li></ul><p></p><p><b><br>
Requirements</b></p><p>
5+ years of proven, hands-on experience implementing and managing large-scale data lakes in the cloud (OCI). Strong expertise in:</p><br>
<p></p><ul>
<li>
Data ingestion &amp; orchestration: Apache NiFi, Apache Kafka, CSV, and others</li>
<li>Data processing frameworks: Apache Spark, PySpark, Trino (Presto), Hive, Flink.</li>
<li>Storage &amp; lakehouse architectures: Delta Lake, Apache Hudi, Iceberg, and cloud-native object storage (S3).</li>
<li>Query &amp; analytics tools: Trino/Presto, SparkSQL, Metabase, or Apache Superset.</li>
<li>Experience with data lake file formats such as Apache Parquet, Avro, ORC, CSV, etc. including ingestion, parsing, and analytics within a data lake.</li>
<li>Solid understanding of data governance, lineage, cataloging, and security frameworks (Apache Atlas).</li>
<li>Experience with CI/CD and IaC (ArgoCD, Terraform, Ansible) for automated deployments.</li>
<li>Hands-on experience with cloud security best practices, including IAM, encryption, and network security.</li>
<li>Strong proficiency in Python or Java for data engineering and automation tasks.</li>
<li>Proven ability to work independently, quickly understand existing environments, and deliver results without extensive training.</li></ul><p></p><p><br>
Preferred Skills</p><br>
<p></p><ul>
<li>
Exposure to machine learning workflows integrated with data lakes.</li>
<li>Experience with real-time streaming data pipelines.</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes).</li>
<li>Knowledge of cost optimization strategies in cloud-based data platforms.</li></ul></div>

dubizzle

<div>
 <p>
  Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.
 </p>
 <p>
  As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 </p>
 <p>
  The Data Engineer intern will be participating in exciting projects covering the end-to-end data lifecycle - from raw data integrations with primary and third-party systems, through advanced data modelling, to state-of-the-art data visualisation and development of innovative data products.
 </p>
 <p>
  You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments - such as product &amp; tech, the core business verticals, trust &amp; safety, finance and others - to enable them to be successful.
  <br/>
 </p>
 <p>
  <strong>
   In this role, you will handle:
  </strong>
 </p>
 <p>
  ● Raw data integrations with primary and third-party systems
 </p>
 <p>
  ● Data warehouse modelling for operational and application data layers
 </p>
 <p>
  ● Development in Amazon Redshift cluster
 </p>
 <p>
  ● SQL development as part of agile team workflow
 </p>
 <p>
  ● ETL design and implementation in Matillion ETL
 </p>
 <p>
  ● Design and implementation of data products enabling data-driven features or business solutions
 </p>
 <p>
  ● Data quality, system stability and security
 </p>
 <p>
  ● Coding standards in SQL, Python, ETL design
 </p>
 <p>
  ● Data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability
 </p>
 <p>
  ● Working with other departments on data products - i.e. product &amp; technology, marketing &amp; growth, finance, core business, advertising and others
 </p>
 <p>
  ● Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
  <br/>
  <br/>
 </p>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in computer science, engineering, math, physics or any related quantitative field
  </li>
 </ul>
 <ul>
  <li>
   Knowledge of relational and dimensional data models
  </li>
  <li>
   Knowledge of terminal operations and Linux workflows
  </li>
  <li>
   Ability to communicate insights and findings to a non-technical audience
  </li>
  <li>
   Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
  </li>
  <li>
   Attention to details and analytical thinking
  </li>
  <li>
   Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
  </li>
  <br/>
  <br/>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region
  </li>
  <li>
   Strengthen your resume and build your network
  </li>
  <li>
   Opportunity to find a full time career with the region's leading organization
  </li>
  <li>
   Working in a multicultural environment with over 60 different nationalities
  </li>
  <li>
   Access to the Learning &amp; Development tools and courses provided by the company
  </li>
 </ul>
 <p>
  Bayut &amp; dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 </p>
 <p>
  #UAEdubizzle
 </p>
</div>


Data Engineer - Intern

Discovered MENA

<div>
 <p>
  <strong>
   Location
  </strong>
  : Dubai (DIFC) &ndash; Hybrid (2 days remote)
 </p>
 <p>
  <strong>
   This role is Sunday - Thursday
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why This Role?
  </strong>
 </p>
 <p>
  This is your opportunity to join a
  <strong>
   fast-growing fintech startup
  </strong>
  that&rsquo;s transforming how businesses manage their spending. If you're passionate about building scalable data systems and enabling smarter decisions through clean, actionable data - read on.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Get to Do
  </strong>
 </p>
 <ul>
  <li>
   Build the next generation of data infrastructure that powers smarter corporate expense management
  </li>
  <li>
   Enable sales and marketing through automation and real-time, data-driven insights
  </li>
  <li>
   Optimize and scale reliable, high-performance databases and analytics pipelines
  </li>
  <li>
   Tackle complex challenges related to data scalability, performance, and compliance
  </li>
  <li>
   Lead data governance initiatives and help shape the company&rsquo;s data strategy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Bring
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience working with large, complex datasets
  </li>
  <li>
   Expertise in designing and optimizing databases, especially
   <strong>
    PostgreSQL
   </strong>
  </li>
  <li>
   Strong in
   <strong>
    advanced SQL
   </strong>
   , capable of querying and transforming massive data sets
  </li>
  <li>
   Experience with
   <strong>
    dimensional data modeling
   </strong>
   and
   <strong>
    data warehouse schema design
   </strong>
  </li>
  <li>
   Hands-on knowledge of tools like
   <strong>
    Kafka
   </strong>
   ,
   <strong>
    ElasticSearch
   </strong>
   , and
   <strong>
    BigQuery
   </strong>
  </li>
  <li>
   Proficient in
   <strong>
    data streaming platforms
   </strong>
   such as
   <strong>
    mParticle
   </strong>
   ,
   <strong>
    RudderStack
   </strong>
   , or
   <strong>
    Segment
   </strong>
  </li>
  <li>
   Skilled in
   <strong>
    BI and visualization tools
   </strong>
   like
   <strong>
    Looker
   </strong>
   ,
   <strong>
    Tableau
   </strong>
   , or similar
  </li>
  <li>
   Experience deploying infrastructure with
   <strong>
    Terraform
   </strong>
   (Infrastructure-as-Code)
  </li>
  <li>
   Comfortable working within the
   <strong>
    Google Cloud Platform (GCP)
   </strong>
   ecosystem
  </li>
  <li>
   Strong communicator, able to collaborate with both technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and implement scalable, high-performance data infrastructure
  </li>
  <li>
   Partner with engineering teams to create or improve complex data models
  </li>
  <li>
   Collaborate with business stakeholders to define data requirements and drive decision-making
  </li>
  <li>
   Optimize database performance through schema design, indexing, and sharding
  </li>
  <li>
   Build and maintain both
   <strong>
    batch and streaming
   </strong>
   pipelines for core business functions
  </li>
  <li>
   Support deployments, data migrations, and system upgrades
  </li>
  <li>
   Develop ETL workflows, dashboards, and reports for business visibility
  </li>
  <li>
   Ensure
   <strong>
    data governance
   </strong>
   , including data quality, lineage, and security
  </li>
  <li>
   Ensure
   <strong>
    compliance
   </strong>
   with data regulations in UAE and KSA
  </li>
  <li>
   Contribute to documentation, testing, and continuous improvement of data systems
  </li>
  <li>
   Be available for
   <strong>
    on-call support
   </strong>
   , when required
  </li>
 </ul>
 <p>
 </p>
</div>


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