business intelligence engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about building business insights that drive decision-making at the highest levels? Do you want to be part of a fast-paced, ambiguous environment and contribute to Amazon's Brand Protection charter?<br>
<br>
As a Sr. Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team.<br>
<br>
What are we looking for?<br>
<ul><li>You have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.</li><li>You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.</li><li>You should be able to work on complex initiatives, deal with ambiguity, and work with senior leaders.</li><li>You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract, and transform data.</li><li>You have business communication skills to be able to work with product and program owners to understand key business questions, and are able to build solutions (analysis / reports / dashboards) that enable them to answer those questions quickly and accurately.</li><li>You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.</li></ul>
- You have experience mentoring engineers and raising the technical bar for a team - through code reviews, architectural guidance, and leading by example.<br>
<br>
Key job responsibilities<br>
<ul><li>Be highly data driven, resourceful, and team oriented.</li><li>Translate analytic insights into actionable recommendations for business and clearly communicate strategic findings by translating complex technical concepts into business terms and vice versa.</li><li>Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.</li><li>Interact with internal program, product, engineering, data and science owners to gather requirements, structure scalable and performant data solutions and gain a deep understanding of key datasets.</li><li>Own the design, creation, and management of extremely large datasets and tune query performance against large and complex data sets.</li><li>Design, implement, and drive adoption of new analytic technologies and solutions and promote industry standard best practices.</li></ul>
- Serve as the technical lead for the Brand Protection data team - owning architectural decisions, mentoring engineers and analysts on best practices, query optimization, and data modeling.<br>
<br>
About the team<br>
<br>
The Brand Protection team is part of Amazon's WW Customer &amp; Partner Trust organization. Our vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing a listing on Amazon that has invalid data (e.g., misuse of trademarks, copyright) associated with their Brand. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Knowledge of data warehousing and data modeling</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually</div><p></p>

Business Intelligence Engineer III, Intellectual Property Protection

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: Analytics &amp; Transformation Engineer</b></h1><p><b>
Job Title:</b> Analytics &amp; Transformation Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b> <b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking an experienced <b>Analytics &amp; Transformation Engineer</b> with <b>3&ndash;11 years of experience</b> to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Visualization</b></h3><ul><li>
Hands-on experience with <b>Power BI or Tableau or Looker</b> for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader"><b>
Data Modeling &amp; Analytics Engineering</b></h3><ul><li>
Strong experience with <b>SQL and dbt</b> for data transformation and analytics workflows.</li><li>
Experience designing and maintaining <b>semantic models</b> and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader"><b>
Product &amp; Behavioral Analytics</b></h3><ul><li>
Experience with <b>Mixpanel or Amplitude or Google Analytics or Hotjar</b> for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader"><b>
Experimentation &amp; Measurement</b></h3><ul><li>
Experience designing and analyzing <b>A/B testing</b> initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Productivity Tools</b></h3><ul><li>
Advanced proficiency in <b>Microsoft Excel</b> for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Business Intelligence:</b> <b>Power BI or Tableau or Looker</b></li><li><b>
Analytics Engineering:</b> <b>dbt and SQL</b></li><li><b>
Data Modeling:</b> Semantic Models <b>and</b> Metrics Frameworks</li><li><b>
Behavioral Analytics:</b> <b>Mixpanel or Amplitude or Google Analytics or Hotjar</b></li><li><b>
Product Analytics:</b> Behavioral Analytics <b>and</b> Event Taxonomy Planning <b>and</b> A/B Testing</li><li><b>
Reporting &amp; Analysis:</b> Excel <b>and</b> Dashboard Creation</li><li><b>
Analytics Operations:</b> Tracking Implementation QA <b>and</b> Post-Launch Transaction Analysis Readiness</li><li><b>
Comparable Tools &amp; Methods:</b> Similar analytics, BI, and transformation platforms as required by business needs</li></ul><p>
</p><p>YIaTsfUsPM</p></div>

Analytics & Transformation Engineer

<div><h1 class="jobSectionHeader"><b>Job Description: Data Science &amp; Analytics Engineer</b></h1><p><b>
Job Title:</b> Data Science &amp; Analytics Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b><b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are looking for a talented <b>Data Science &amp; Analytics Engineer</b> with <b>3&ndash;11 years of experience</b> to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, and deploy predictive and analytical models to solve business problems.</li><li>
Perform data exploration, statistical analysis, feature engineering, and model evaluation.</li><li>
Build interactive dashboards, reports, and visualizations for business stakeholders.</li><li>
Develop scalable data analytics solutions using modern cloud and big data platforms.</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.</li><li>
Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.</li><li>
Ensure data quality, governance, and best practices across analytics initiatives.</li><li>
Present analytical findings and recommendations to technical and non-technical audiences.</li><li>
Continuously improve analytics processes, reporting capabilities, and model performance.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Programming &amp; Data Science</b></h3><ul><li>
Strong proficiency in <b>Python or R</b> for data analysis, statistical modeling, and machine learning.</li><li>
Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics.</li></ul><h3 class="jobSectionHeader"><b>
Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Databricks or Dataiku</b> for data science, machine learning, and collaborative analytics.</li><li>
Experience developing end-to-end analytical workflows and model deployment.</li></ul><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Visualization</b></h3><ul><li>
Strong experience with <b>Power BI or Tableau or Looker</b> for dashboard development and data visualization.</li><li>
Ability to create interactive reports and executive-level dashboards.</li></ul><h3 class="jobSectionHeader"><b>
Data Warehousing &amp; Analytics</b></h3><ul><li>
Experience with <b>BigQuery or Snowflake</b> for large-scale analytics and data warehousing.</li><li>
Strong understanding of SQL, data modeling, and analytical query optimization.</li></ul><h3 class="jobSectionHeader"><b>
Analytics &amp; Machine Learning</b></h3><ul><li>
Experience with statistical analysis, forecasting, classification, clustering, and regression models.</li><li>
Familiarity with machine learning libraries and model evaluation techniques.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in Data Science, Business Analytics, or Advanced Analytics.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Excellent communication and presentation skills.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Knowledge of MLOps, model deployment, and AI-driven analytics.</li><li>
Experience with ETL/ELT processes and data engineering concepts.</li><li>
Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage.</li><li>
Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Programming Languages:</b> <b>Python or R</b></li><li><b>
Data Science Platforms:</b> <b>Databricks or Dataiku</b></li><li><b>
Business Intelligence:</b> <b>Power BI or Tableau or Looker</b></li><li><b>
Data Warehouse:</b> <b>BigQuery or Snowflake</b></li><li><b>
Analytics:</b> Statistical Analysis <b>and</b> Predictive Modeling <b>and</b> Machine Learning <b>and</b> Data Visualization</li><li><b>
Cloud Platforms:</b> <b>AWS or Microsoft Azure or Google Cloud Platform</b> (Preferred)</li></ul><p>
</p><p>mLBuPrYFSv</p></div>

Data Science & Analytics Engineer

Datamatics Technologies

<div>
 Job Description: Data Science &amp; Analytics Engineer
 <p>
  <strong>
   Job Title:
  </strong>
  Data Science &amp; Analytics Engineer
  <br/>
  <strong>
   Experience:
  </strong>
  3&ndash;11 Years
  <br/>
  <strong>
   Location:
  </strong>
  <u>
   <strong>
    Riyadh - Onsite
    <br/>
   </strong>
  </u>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 Job Overview
 <p>
  We are looking for a talented
  <strong>
   Data Science &amp; Analytics Engineer
  </strong>
  with
  <strong>
   3&ndash;11 years of experience
  </strong>
  to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 </p>
 Key Responsibilities
 <ul>
  <li>
   Design, develop, and deploy predictive and analytical models to solve business problems
  </li>
  <li>
   Perform data exploration, statistical analysis, feature engineering, and model evaluation
  </li>
  <li>
   Build interactive dashboards, reports, and visualizations for business stakeholders
  </li>
  <li>
   Develop scalable data analytics solutions using modern cloud and big data platforms
  </li>
  <li>
   Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
  </li>
  <li>
   Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
  </li>
  <li>
   Ensure data quality, governance, and best practices across analytics initiatives
  </li>
  <li>
   Present analytical findings and recommendations to technical and non-technical audiences
  </li>
  <li>
   Continuously improve analytics processes, reporting capabilities, and model performance
  </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
  <li>
   Strong proficiency in
   <strong>
    Python or R
   </strong>
   for data analysis, statistical modeling, and machine learning
  </li>
  <li>
   Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
  </li>
 </ul>
 Data Science Platforms
 <ul>
  <li>
   Hands-on experience with
   <strong>
    Databricks or Dataiku
   </strong>
   for data science, machine learning, and collaborative analytics
  </li>
  <li>
   Experience developing end-to-end analytical workflows and model deployment
  </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
  <li>
   Strong experience with
   <strong>
    Power BI or Tableau or Looker
   </strong>
   for dashboard development and data visualization
  </li>
  <li>
   Ability to create interactive reports and executive-level dashboards
  </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
  <li>
   Experience with
   <strong>
    BigQuery or Snowflake
   </strong>
   for large-scale analytics and data warehousing
  </li>
  <li>
   Strong understanding of SQL, data modeling, and analytical query optimization
  </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
  <li>
   Experience with statistical analysis, forecasting, classification, clustering, and regression models
  </li>
  <li>
   Familiarity with machine learning libraries and model evaluation techniques
  </li>
 </ul>
 Qualifications
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
  </li>
  <li>
   <strong>
    3&ndash;11 years
   </strong>
   of professional experience in Data Science, Business Analytics, or Advanced Analytics
  </li>
  <li>
   Strong analytical, mathematical, and problem-solving skills
  </li>
  <li>
   Excellent communication and presentation skills
  </li>
  <li>
   Experience working in Agile/Scrum environments
  </li>
 </ul>
 Preferred Skills
 <ul>
  <li>
   Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
  </li>
  <li>
   Knowledge of MLOps, model deployment, and AI-driven analytics
  </li>
  <li>
   Experience with ETL/ELT processes and data engineering concepts
  </li>
  <li>
   Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
  </li>
  <li>
   Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
  </li>
 </ul>
 Key Technology Stack
 <ul>
  <li>
   <strong>
    Programming Languages:
   </strong>
   <strong>
    Python or R
   </strong>
  </li>
  <li>
   <strong>
    Data Science Platforms:
   </strong>
   <strong>
    Databricks or Dataiku
   </strong>
  </li>
  <li>
   <strong>
    Business Intelligence:
   </strong>
   <strong>
    Power BI or Tableau or Looker
   </strong>
  </li>
  <li>
   <strong>
    Data Warehouse:
   </strong>
   <strong>
    BigQuery or Snowflake
   </strong>
  </li>
  <li>
   <strong>
    Analytics:
   </strong>
   Statistical Analysis
   <strong>
    and
   </strong>
   Predictive Modeling
   <strong>
    and
   </strong>
   Machine Learning
   <strong>
    and
   </strong>
   Data Visualization
  </li>
  <li>
   <strong>
    Cloud Platforms:
   </strong>
   <strong>
    AWS or Microsoft Azure or Google Cloud Platform
   </strong>
   (Preferred)
  </li>
 </ul>
</div>


sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 4758
 <br/>
 <br/>
 Join the energy revolution with #teamsonnen!
 <br/>
 <br/>
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 <br/>
 <br/>
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 <br/>
 <br/>
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 <br/>
 <br/>
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 <br/>
 <br/>
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
  </li>
  <li>
   You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
  </li>
  <li>
   You develop and maintain data integration processes with a variety of structured and unstructured data sources.
  </li>
  <li>
   You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
  </li>
  <li>
   You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
  </li>
  <li>
   You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
  </li>
  <li>
   Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
  </li>
  <li>
   You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
  </li>
  <li>
   (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science or a related technical field.
  </li>
  <li>
   +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
  </li>
  <li>
   +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
  </li>
  <li>
   Experience with Big Data technologies such as Hadoop, Hive, and Spark.
  </li>
  <li>
   Ability to translate organizational goals into technical solutions.
  </li>
  <li>
   Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
  </li>
  <li>
   Proficiency in Python, SQL, and NoSQL.
  </li>
  <li>
   Excellent communication and project management skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>


Data Engineer (m/f/d)

Glidewell Laboratories

<div><div><b>Essential Functions</b><b>:</b></div><ul><li>
Creates and debugs ETL/ELT packages using SQL Server Integration Services (SSIS), Pentaho, or other open-source programs.
</li><li>Creates, debugs, and optimizes stored procedures, views, and functions.</li><li>
Collaborates with Data Architect and other stakeholders to understand requirements, relation between various data sets, and frequency of updates.</li><li>
Defines metrics and calculations along with the corresponding updates to the semantic layer.</li><li>
Collaborates with the business community to identify, analyze and document data engineer&rsquo;s needs.</li><li>
Collaborates with internal team members in the design and development of reports and dashboards for various business units.</li><li>
Assists in the definition of business intelligence (BI) strategy within the IT Department.</li><li>
Maintains documentation for data engineer processes and procedures.</li><li>
Collaborates with team to create proof of concept (POC) using Amazon Web Services (AWS).</li><li>
Performs other related duties and projects as business needs require at direction of management.</li></ul><div>
</div><div><b>
Education and Experience:</b></div><ul><li>
Bachelor&rsquo;s Degree in Computer Technology required.</li><li>
Minimum five (5) years of relevant work experience in the areas below, or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved:</li><li>
Experience in TSQL</li><li>
Experience in Business Objectives, Data Transformation Services (DTS) /SQL Server Integration Services (SSIS) and 3rd party ETL/ELT tools.</li><li>
Experience in an open source language such as Python, Java, PHP, or Ruby.</li><li>
Minimum one (1) year of relevant cloud base technology experience such as Amazon Web Services (AWS).</li></ul><p></p><p><br>
Pay Range: $105,332.19 - 130,000.00/yr</p></div>

Data Engineer II

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 <br/>
 <br/>
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 <br/>
 <br/>
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 <br/>
 <br/>
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
  </li>
  <li>
   Ensure data is structured to support self-service analytics and business intelligence.
  </li>
  <li>
   Work closely with data engineers to define data requirements and enhance ETL pipelines.
  </li>
  <li>
   Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
  </li>
  <li>
   Implement and enforce data quality best practices to ensure accuracy and consistency.
  </li>
  <li>
   Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
  </li>
  <li>
   Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
  </li>
  <li>
   Strong proficiency in Python, SQL and experience with dbt for data modeling.
  </li>
  <li>
   Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
  </li>
  <li>
   Familiarity with version control (Git) and CI/CD practices for data workflows.
  </li>
  <li>
   Understanding of data engineering principles, including ETL/ELT processes.
  </li>
 </ul>
</div>


Analytics Engineer II

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