senior project engineer

senior electrical engineer

data analyst

senior data scientist

data scientist

senior 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

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><br>
<div></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Envision Employment Solutions

Envision Employment Solutions is currently looking for a ⁠⁠SAP Senior Data Engineer for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.
<br><br>
<b>Please note:</b> This position requires the candidate’s physical presence in the UAE. Remote or hybrid arrangements are not available at this time. The selected candidate should be able to relocate and start within one month from offer acceptance.
<br><br>
<b>Job Summary:</b><br>
Our partner is undergoing a major digital transformation and is seeking an experienced SAP Enterprise Data Platform Reporting Lead to design, develop, and manage finance and procurement reports, dashboards, and analytics within the Azure-based Enterprise Data Platform (Azure Data Factory, ADLS, Databricks). This hands-on, leadership role requires expertise in utilizing SAP data, the Azure cloud ecosystem, and Tableau visualization to drive impactful business insights. The ideal candidate will be responsible for reporting solutions end-to-end, ensuring accuracy, reliability, and real-time access to critical business data for decision-making.
<br><br>
This position requires deep technical expertise in SAP Basis, S/4HANA system administration, cloud technologies, and a hands-on approach to managing and optimizing both the SAP S/4HANA landscape and SAP BTP infrastructure.
<br><br>
<b>Responsibilities:</b><b>SAP Data Reporting & Analytics:</b><br>
<ul>
<li>Lead the design, development, and implementation of financial and procurement reports, dashboards, and analytics within the SAP Enterprise Data Platform.</li>
<li>Utilize SAP S/4HANA and SAP Business Technology Platform (BTP) data to create business-driven, real-time reporting solutions for Finance and Procurement teams.</li>
<li>Work closely with business stakeholders to define reporting requirements and translate them into technical solutions.</li>
</ul>
<b>Azure Cloud Data Platform Integration:</b><br>
<ul>
<li>Architect, develop, and manage reporting solutions on Azure Data Platform, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Databricks.</li>
<li>Integrate SAP data with Azure services to build efficient ETL pipelines and ensure seamless reporting capabilities across systems.</li>
<li>Implement and manage data pipelines, ensuring data quality, accuracy, and consistency within the data lake environment.</li>
</ul>
<b>Tableau Visualization and Reporting:</b><br>
<ul>
<li>Lead the creation of interactive and visually compelling reports and dashboards in Tableau.</li>
<li>Design intuitive user interfaces for stakeholders to access and interpret critical business data easily.</li>
<li>Optimize Tableau reports for performance, scalability, and user experience.</li>
</ul>
<b>Data Governance & Quality:</b><br>
<ul>
<li>Define and enforce data governance frameworks to ensure that reporting and analytics are built on high-quality, consistent, and compliant data.</li>
<li>Collaborate with data owners to establish data quality rules, validation checks, and automated monitoring to guarantee the integrity of financial and procurement data.</li>
<li>Ensure reporting solutions comply with relevant data privacy regulations, including GDPR and CCPA.</li>
</ul>
<b>Collaboration and Stakeholder Management:</b><br>
<ul>
<li>Work directly with business stakeholders across Finance, Procurement, and Supply Chain to understand reporting needs and define KPIs.</li>
<li>Provide regular updates and insights to senior leadership, ensuring alignment with business goals and strategic priorities.</li>
<li>Collaborate with cross-functional teams, including SAP, Azure, and Tableau developers, to implement and deliver end-to-end reporting solutions.</li>
</ul>
<b>Performance Optimization:</b><br>
<ul>
<li>Identify and implement performance optimization strategies for data extraction, transformation, and reporting processes to ensure efficient use of resources and high responsiveness.</li>
<li>Proactively monitor data flows and performance metrics across the Azure Data Platform and Tableau environment to resolve issues and optimize reporting capabilities.</li>
</ul>
<b>Continuous Improvement and Innovation:</b><br>
<ul>
<li>Stay up-to-date with the latest technologies and trends in SAP, Azure, and data analytics, and continuously integrate innovative approaches to reporting and analytics.</li>
<li>Foster a culture of continuous improvement in reporting processes, ensuring that the organization stays at the forefront of data-driven decision-making.</li>
</ul>
<b>Training & Knowledge Sharing:</b><br>
<ul>
<li>Conduct training sessions for business users and technical teams to ensure the effective use of reporting tools and data platforms.</li>
<li>Mentor junior data analysts and consultants, helping them develop their technical and business acumen in reporting and analytics.</li>
</ul>
<b>Requirements:</b><br>
<b>Professional Experience:</b><br>
<ul>
<li>Minimum of 7-10 years of hands-on experience in SAP reporting, analytics, and data management, including experience in Finance and Procurement reporting.</li>
<li>Proven expertise in Azure Cloud Infrastructure (ADF, ADLS, Databricks) and Tableau for data visualization and reporting.</li>
<li>Strong experience in building ETL pipelines and integrating data from various SAP systems into Azure-based platforms for reporting.</li>
<li>Experience with SAP S/4HANA, SAP BTP, and familiarity with SAP Finance and Procurement modules.</li>
<li>Hands-on experience in data governance, data quality management, and building analytics solutions for large enterprises.</li>
</ul>
<b>Educational Qualifications:</b><br>
<ul>
<li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.</li>
<li>Relevant certifications in SAP (e.g., SAP S/4HANA), Azure, or Tableau are highly desirable.</li>
</ul>
<b>Technical Expertise:</b><br>
<ul>
<li>In-depth knowledge of Azure cloud technologies (ADF, ADLS, Databricks) and their use in data engineering and reporting solutions.</li>
<li>Expertise in data modeling, data integration, and developing scalable data solutions in SAP and Azure.</li>
<li>Advanced proficiency in Tableau for report/dashboard design, optimization, and deployment.</li>
<li>Strong understanding of SAP S/4HANA data models for Finance and Procurement.</li>
</ul>
<b>Process and Methodologies:</b><br>
<ul>
<li>Experience with Agile methodologies and collaboration tools (e.g., Jira, Confluence) for managing reporting projects.</li>
<li>Strong knowledge of data governance frameworks and reporting best practices in a cloud-based environment.</li>
</ul>
<b>Preferred Experience:</b><br>
<ul>
<li>Experience in the aviation or travel industry.</li>
<li>Experience with SAP Data Intelligence or other SAP analytics tools.</li>
<li>Familiarity with other data visualization tools and BI platforms (Power BI, Qlik).</li>
</ul>


SAP Senior 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>

<div><div><div><p>If you are a current DSV employee and interested in a position in another country, please contact your Human Resource representative to discuss the process and requirements of applying.</p>
</div></div><div><div><div><div><p>Job Req Number: 100401<br>
Time Type: Full Time</p><p></p><p><br>
DSV is truly a global player offering services worldwide and operating in more than 90 countries and over 75,000 employees, we thrive within an international network of partners and agents. Every day, we aim to open many opportunities for you to develop your career on an international scale, promoting Customers First, Best performance &amp; True Collaboration &ndash; we are One DSV!</p><br>
<p></p>
<p>
To design, configure, and support application and integration solutions that enable efficient and standardized warehouse operations across MEA. This role ensures alignment with A&amp;I governance frameworks, drives system optimization, and supports strategic initiatives such as WMS implementations, system migrations, and integration projects. The position is based in Dubai.</p><br>
<p></p>
<p><b>
Reporting Line:</b></p>
<p>
Reports to : Senior Business Change Manager, Contract Logistics</p>
<p>
Location : Dubai, UAE</p><br>
<p></p>
<p><b>
Detailed Responsibilities:</b></p><br>
<p></p>
<p>
Application Engineering</p>
<ul>
<li>Design, configure, and test WMS applications to meet operational and business requirements.</li>
<li>Translate functional requirements into practical application scenarios.</li>
<li>Support the full application lifecycle: documentation, testing, deployment, and after-care in line with CL Project Approach (CLPA) and Data Quality Planning (DQP) standards.</li>
<li>Ensure user-friendly, lean system processes and adherence to operational standards.</li>
</ul>
<p>Integration Engineering</p>
<ul>
<li>Design and execute integration solutions (EDI, APIs) to connect client systems and internal platforms.</li>
<li>Collaborate with IT teams to develop and test data exchange mechanisms.</li>
<li>Ensure data integrity, system compatibility, and performance across integrated environments.</li>
<li>Troubleshoot and resolve integration issues in collaboration with technical teams.</li>
</ul>
<p>Governance &amp; Compliance</p>
<ul>
<li>Enforce adherence to enterprise standards, CLPA, and DQP frameworks.</li>
<li>Monitor deliverables from global IT and escalate delays or issues as needed.</li>
<li>Advocate for process standardization across warehouse operations.</li>
</ul>
<p>Training &amp; Change Enablement</p>
<ul>
<li>Assist in training key users and end-users on new processes and system functionalities.</li>
<li>Prepare training materials and user guides.</li>
<li>Support change management activities during project rollouts.</li>
</ul>
<p>Customer &amp; Stakeholder Engagement</p>
<ul>
<li>Provide regular updates to internal stakeholders on project progress and issues.</li>
<li>Build strong working relationships with internal teams and external clients to understand project needs and expectations.</li>
<li>Partner with Commercial, Solutions Design, and IT teams to align technical solutions with business goals.</li></ul><br>
<p></p>
<p><b>
Qualifications &amp; Competencies</b></p><br>
<p></p>
<ul>
<li>Bachelor&rsquo;s degree in Information Technology, Supply Chain, or related field.</li>
<li>5&ndash;8 years of experience in supply chain or IT within a 3PL environment.</li>
<li>Strong knowledge of WMS systems (Infor SCE preferred; Blue Yonder is a plus).</li>
<li>Familiarity with integration technologies (EDI, APIs) and basic SQL knowledge.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Proficient in MS Office Suite; Agile/Prince2/PMP knowledge is a plus.</li>
<li>Effective communication and interpersonal skills; ability to manage multiple tasks and timelines.</li></ul><br>
<p></p>
<p><b>
Preferred Attributes</b></p><br>
<p></p>
<ul>
<li>Detail-oriented with a proactive mindset.</li>
<li>Comfortable working in a fast-paced, dynamic environment.</li>
<li>Team player with a collaborative approach to problem-solving.</li></ul><br>
<p></p>
<p><b>
DSV &ndash; Global Transport and Logistics</b></p>
<p>
Working at DSV means playing in a different league.</p>
<p>
As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let&rsquo;s grow together as we continue to innovate, digitalise and build on our achievements.</p>
<p>
With close to 160,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers&rsquo; needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you.</p><br>
<p></p>
<p>
At DSV, performance is in our DNA. We don&rsquo;t just work &ndash; we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company &ndash; this is the place to be.</p>
<p><b>
Start here. Go anywhere</b></p><br>
<p></p>
<p>
Visit dsv.com</p></div></div></div></div></div>

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>


Foodics

<div><p><b>Who Are We&#10067;</b><br>
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.</p><p><b>
The Job in a Nutshell</b></p><p>
You will be responsible for architecting and building robust data pipelines, data contracts, and processing frameworks that power analytics and ML features across Foodics. You&rsquo;ll work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of our data infrastructure.</p><p></p><p><b>
What Will You Do&#10067;</b></p><ul>
<li>Design and implement scalable ETL/ELT pipelines using cloud-native tools.</li>
<li>Define and enforce data contracts with domain squads and internal consumers.</li>
<li>Collaborate with ML Engineers on feature engineering and model-ready datasets.</li>
<li>Build monitoring, alerting, and observability into the data infrastructure.</li>
<li>Ensure data security, lineage, and compliance with internal standards.</li>
<li>Contribute to onboarding toolkits and reusable data components.</li>
</ul><p></p><p><b>What Are We Looking For&#10067;</b></p><ul>
<li>5+ years of experience in data engineering, with a track record in scalable pipelines.</li>
<li>Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions).</li>
<li>Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt).</li>
<li>Deep understanding of data modeling, lineage, observability, and governance frameworks. (e.g., dimensional modeling, normalized vs. denormalized structures, schema evolution, ML feature stores)</li>
<li>Familiarity with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with time travel, schema evolution, and transactional guarantees.</li>
<li>Experience building fault-tolerant, testable, and maintainable pipelines in production environments.</li>
<li>Proven ability to work in cross-functional teams, collaborating with ML Engineers, Analysts, and Product Managers.</li>
<li>Familiar with CI/CD and infrastructure-as-code (Terraform/CDK preferred).</li>
<li>Strong communication skills and a mindset focused on documentation, standards, and continuous improvement.</li>
</ul><p></p><p><b>Who Will Excel&#10067;</b></p><ul><li>
Candidates with knowledge of MLOps integration and streaming technologies (e.g., Kafka, Kinesis).</li></ul><p></p><p><b>
What We Offer You&#10071;</b><br>
We believe you will love working at Foodics!</p><ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

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