bi data engineer

Brad Contech Solutions

<div><p><b>Location:</b> Dubai (Onsite)</p>
<p><b>
Experience: </b>4+ Yrs</p>
<p><b>
Notice: </b>Immediate Joiners Preferred</p>
<h2 class="jobSectionHeader"><b>
Technical Skills &amp; Qualifications</b></h2>
<ul><li>Minimum 4 years&rsquo; experience as a Business Analyst or BI Developer</li></ul>
<ul><li>Expert-level Power BI: data modelling, DAX, Power Query (M), RLS, workspaces, gateway management</li></ul>
<ul><li>Hands-on Power Automate: cloud flows, approval workflows, scheduled triggers, Microsoft 365 connectors</li></ul>
<ul><li>Proficiency in SQL for data extraction, transformation, and validation across relational databases</li></ul>
<ul><li>Experience extracting data from ERP or finance systems (Sage, SAP, Oracle, Dynamics, or similar)</li></ul>
<ul><li>Advanced Microsoft Excel: Power Query, pivot tables, dynamic arrays, data modelling</li></ul>
<ul><li>Experience with data from project management or PSA systems (Deltek, Project Online, or similar)</li></ul>
<ul><li>Strong data modelling skills: star schema, fact/dimension tables, relationship management</li></ul>
<ul><li>Ability to conduct requirements workshops and translate business needs into technical BI solutions</li></ul>
<ul><li>Bachelor&rsquo;s degree in Business, Information Systems, Computer Science, or related field</li></ul></div><p></p>

SQL & Power BI Data Engineer

Openkyber

<div><p>DataOps Engineer / Azure Data Engineer (Public Health Data Modernization) Location: Remote Position Type: Contract (15 months with multi-year extension options)</p>
<p>Prior experience health care data modernization projects for state projects is highly desired</p>
<b>Job Summary:</b>
<p>We are seeking a highly skilled DataOps Engineer to lead the operationalization of a large-scale public health data infrastructure modernization initiative. This role is critical in establishing a sustainable, staff-owned DataOps foundation to improve the quality, reliability, and usability of state-wide health data. You will work at the intersection of data engineering, quality assurance, and governance, utilizing a modern cloud stack centered on Azure DevOps, Azure Databricks, and AWS Data Lake architectures.</p>
<p>The ideal candidate is not just a technical expert but also a mentor who can perform hands-on co-development with internal teams to build durable organizational capacity.</p>
<b>Key Responsibilities:</b>
<ul><li>Data Quality &amp; Statistical Process Control (SPC): Develop and implement governed, version-controlled downstream Data Quality (DQ) rules and validation frameworks. Establish SPC monitoring for data volumes, timeliness, and distributions, including AI-assisted anomaly detection.</li>
<li>Infrastructure &amp; Pipeline Support: Translate downstream requirements into actionable specifications for upstream ingestion teams. Maintain operational performance metrics and observability dashboards.</li>
<li>Data Governance &amp; Metadata: Build and maintain data glossaries, catalogs, and end-to-end lineage visualizations within established governance tools. Define data contract requirements for external vendors, including schema expectations and QA thresholds.</li>
<li>Analytics &amp; BI Enablement: Develop governed Power BI semantic models (Cost, Quality, Access) and standardized dashboards with integrated DQ/SPC overlays.</li>
<li>Organizational Enablement: Lead role-based training through active co-building sessions. Document all processes, runbooks, and SOPs as living Wikis within Azure DevOps to ensure long-term sustainability.</li>
</ul><b>Required Technical Stack:</b>
<ul><li>Platform: Azure DevOps (Boards, Repos, Pipelines, Wikis).</li>
<li>Data Engineering: Azure Databricks and AWS Data Lake (Medallion Architecture).</li>
<li>Visualization: Power BI (DAX, RLS, semantic modeling).</li>
<li>Automation: Power Automate and SharePoint integration.</li>
<li>Architecture: Experience with native AWS services and complex data ingestion pipelines.</li>
</ul><b>Preferred Qualifications:</b>
<ul><li>Certifications: Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.</li>
<li>Domain Expertise: Prior experience with healthcare data infrastructure (e.g., APCD, Medicaid, or clinical datasets).</li>
<li>Management: DAMA CDMP, Lean Six Sigma, or Prosci Change Practitioner certifications.</li>
<li>Agile: SAFe Practitioner or Scrum Master (CSM/PSM).</li>
</ul><p>DataOps Engineer, Azure Data Engineer, Databricks, Azure DevOps Pipelines, Power BI Developer, Healthcare Data Analytics, AWS Data Lake, Medallion Architecture, Data Governance, Statistical Process Control, Metadata Management, Data Quality Engineering, AI Anomaly Detection, Semantic Modeling, DAX, SQL, Python, Public Health IT, Data Lineage, CDMP.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Azure Network Engineer

Faze 3 Consulting

<p><b>AI Data UX Engineer</b></p><p><b>Design and ship the human side of enterprise AI.</b></p><p>A leading Abu Dhabi-based holding group is hiring an <b>AI Data UX Engineer</b> to design and build the user experience layer for AI assistants, BI surfaces, and data apps across desktop, mobile, and Teams. If you can both design <i>and</i> ship production frontends &mdash; and you care about making complex data genuinely usable &mdash; we want to hear from you. Reports to the AI Solutions Manager.</p><p><b>What you'll own:</b></p><ul><li>Translate business workflows into wireframes, prototypes, and tested UI patterns in Figma and Fluent UI.</li><li>Implement production-grade frontends using React, TypeScript, Power Apps, and Power Pages, integrated with AI and REST APIs.</li><li>Design Power BI experiences &mdash; reports, semantic models, and themes &mdash; optimized for decisions and performance.</li><li>Instrument telemetry, A/B tests, and in-app guidance; iterate based on usage analytics.</li><li>Ensure accessibility (WCAG 2.1 AA), localization, and secure-by-design patterns (MSAL, role-based UI).</li><li>Collaborate with the delivery partner's squads and internal engineers to align UX with platform constraints and non-functionals &mdash; making data availability a first-class design and delivery outcome.</li><li>Enable in-app data querying, guided data correction flows, and user feedback loops to improve data discoverability and quality.</li><li>Partner with Data Ops and platform teams for backend implementation of data write-back patterns; ensure UX patterns respect RBAC, logging, and governance controls.</li><li>Integrate robust CRUD operations and database interactions so users can efficiently access, manage, and update information.</li><li>Design governed user experiences for data interaction &mdash; search, view, update requests, approvals &mdash; aligned to access controls, auditability, and workflow patterns, without owning core database engineering.</li><li>Design explainability and trust UX: citations, confidence cues, audit trails, and &quot;why this answer&quot; patterns for assistants and analytics surfaces to improve adoption and responsible use.</li><li>Work closely with the delivery partner's visualization and UX engineers on a shared &quot;definition of done&quot; for dashboards, assistant UX surfaces, and adoption telemetry.</li></ul><p><b>What you bring</b></p><ul><li>4&ndash;6 years in product or UX engineering for data/AI products.</li><li>A portfolio demonstrating shipped enterprise experiences across web, mobile, Teams, or Power Platform.</li><li>Bachelor's in Design, Computer Science, Information Systems, or equivalent portfolio-based experience.</li></ul><p><b>Core skills and tools</b></p><ul><li>Figma, Fluent UI, React/TypeScript, HTML/CSS.</li><li>Power Apps and Power Pages; MSAL and Microsoft Graph integration.</li><li>Power BI: DAX, modeling, performance tuning, governance with Fabric/Purview.</li><li>UX research, usability testing, accessibility, localization, and content design.</li><li>Telemetry (App Insights), feature flags, and experimentation.</li></ul><p><b>Preferred certifications</b></p><ul><li>Microsoft Certified: Power Platform App Maker (PL-100) or Developer (PL-400).</li><li>Microsoft Certified: Power BI Data Analyst Associate (PL-300).</li><li>Any recognized UX/HCI certification.</li></ul><p><b>Location: </b>Abu Dhabi, UAE</p><p><b>Employment Type: </b>Full-time</p><p><b>Experience: </b>4-6 years</p><p><b>Salary Range: </b>12,000 - 18,000 (AED per month)</p><p>Pay: AED12,000.00 - AED18,000.00 per month</p><p>Work Location: In person</p>

AI Data UX Engineer

HR Professional

<p>We are seeking a highly analytical and technically proficient BI Developer to design, develop, and maintain scalable data visualization and reporting solutions. The ideal candidate will have hands-on experience with modern BI tools, data platforms, and front-end customization, enabling data-driven decision-making across the organization.</p><p><b>Key Responsibilities:</b></p><p>&middot; Design and develop interactive dashboards and reports using Power BI and Apache Superset, ensuring consistency, accuracy, and performance.</p><p>&middot; Translate business requirements into intuitive visualizations and KPIs, optimizing for usability, performance, and scalability.</p><p>&middot; Drive reporting excellence by maintaining high-quality, user-focused analytics solutions across the organization.</p><p><b>Data Engineering &amp; Modeling:</b></p><p>&middot; Design and optimize high-performance analytics on large-scale datasets using ClickHouse, including star/snowflake schema models and ETL/ELT transformations.</p><p>&middot; Ensure data integrity and governance across reporting layers while leveraging Microsoft Fabric components (Lakehouse, Dataflows, Warehousing) for unified analytics.</p><p><b>Front-End Customization:</b></p><p>&middot; Enhance dashboard UI/UX using CSS and web technologies, customizing embedded analytics and ensuring responsive, user-friendly layouts.</p><p>&middot; Collaborate with stakeholders, data engineers, analysts, and product teams to gather requirements, refine reporting, and deliver data-driven insights and recommendations.</p><p><b>Technical Skills:</b></p><p>&middot; Leverage Power BI (DAX, Power Query, data modeling) and Apache Superset to build interactive dashboards and reporting solutions.</p><p>&middot; Apply Microsoft Fabric, ClickHouse, and SQL optimization to efficiently manage and query large-scale datasets.</p><p>&middot; Utilize CSS for UI customization, enhancing dashboard aesthetics and user experience across embedded analytics interfaces.</p><p>&middot; Optimize query performance (especially in ClickHouse), implement ETL/ELT pipelines, and apply BI performance tuning best practices.</p><p><b>Soft Skills &amp; Qualifications:</b></p><p>Effective communication with both technical and non-technical stakeholders</p><p>Experience with cloud platforms (Azure preferred)</p><p>Knowledge of Python or scripting for data processing</p><p>Experience in real-time or near-real-time analytics systems</p><p>Pay: Rs100,000.00 - Rs200,000.00 per month</p><p>Application Question(s):</p><ul><li>Are you comfortable with the on-site job (Defence road near University of Lahore/ bhobtiyan chowk)?</li></ul><ul><li>What is your current &amp; expected salary?</li></ul><p>Experience:</p><ul><li>BI Developer &amp; Engineer: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

BI Developer & Engineer

<div></div><div><div><div><div><ul><div>4 - 10 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore, Chennai, Gurugram, Hyderabad, Kochi, Pune, Trivandrum</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Job Title: Tableau QA Engineer (Automation)</b></p>
<h3 class="jobSectionHeader"><b>
Experience: 4&ndash;10 Years</b></h3>
<h3 class="jobSectionHeader"><b>Location: </b><b>Bangalore/ Hyderabad/ Pune/ Chennai/ Trivandrum/ Cochin/ Gurugram</b></h3>
<p>Job Summary</p>
<p>
We are seeking a skilled <b>Tableau QA Engineer with Automation experience</b> to ensure the quality, accuracy, and performance of Tableau dashboards and reporting solutions.</p>
<p>
This role focuses on <b>data validation, dashboard testing, and test automation</b> to support enterprise analytics programs. The candidate will work closely with <b>BI Developers, Data Engineers, QA teams, and business stakeholders</b> in an Agile delivery environment.</p>
<p></p>
<p>Key Responsibilities</p>
<h3 class="jobSectionHeader"><b>
Tableau QA &amp; Data Validation</b></h3>
<ul><li>Perform end‑to‑end testing of Tableau dashboards, reports, and data extracts</li>
<li>Validate data accuracy, completeness, and consistency between source systems, data warehouses, and Tableau outputs</li>
<li>Test calculations, filters, parameters, aggregations, and drill‑downs for functional correctness</li>
<li>Identify data discrepancies, analyze root causes, and log clear defects with supporting evidence</li>
</ul><h3 class="jobSectionHeader"><b>Test Automation</b></h3>
<ul><li>Design, develop, and maintain automated test scripts for Tableau dashboards and data validation scenarios</li>
<li>Automate regression testing, data reconciliation, and dashboard validation checks</li>
<li>Integrate automation test suites with CI/CD pipelines for continuous quality validation (where applicable)</li>
<li>Maintain reusable automation frameworks, libraries, and utilities</li>
</ul><h3 class="jobSectionHeader"><b>Functional &amp; Regression Testing</b></h3>
<ul><li>Execute functional, regression, and smoke testing for Tableau releases</li>
<li>Validate dashboard performance, load behavior, and data refresh schedules</li>
<li>Support UAT cycles by coordinating closely with business users and development teams</li>
</ul><h3 class="jobSectionHeader"><b>Collaboration &amp; Reporting</b></h3>
<ul><li>Collaborate in Agile teams with BI Developers, Data Engineers, QA, and Product stakeholders</li>
<li>Participate in sprint planning, sprint reviews, and defect triage meetings</li>
<li>Provide regular test status updates, defect metrics, and quality reports to stakeholders</li>
</ul>
<p>Required Skills &amp; Qualifications</p>
<ul>
<li>4&ndash;10 years of QA experience with a strong focus on <b>Tableau testing and data validation</b></li>
<li>Hands‑on experience with <b>Tableau Desktop, Tableau Server, and published dashboards</b></li>
<li>Strong <b>SQL</b> skills for backend data validation and reconciliation</li>
<li>Experience with test automation tools/frameworks (Selenium, Playwright, custom frameworks, or equivalent)</li>
<li>Solid understanding of <b>data warehousing concepts, ETL/ELT pipelines, and BI reporting</b></li>
<li>Experience working in <b>Agile / Scrum</b> delivery models</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Experience automating Tableau or BI validation using <b>Python or Java‑based frameworks</b></li>
<li>Exposure to cloud data platforms such as <b>AWS, Snowflake, Redshift, or Azure</b></li>
<li>Familiarity with <b>CI/CD tools</b> like Jenkins, Git, Azure DevOps</li>
<li>Experience working in <b>enterprise or regulated domains</b> (Healthcare, Insurance, BFSI)</li>
</ul></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Tableau, Test automation, Data validation, Selenium, data testing, Python, Playwright, Restassured</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Lead II - Software Testing (Tableau QA Engineer (Automation))

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a detail-oriented and analytical <b>Data Analytics Engineer</b> with <b>3+ years of experience</b> in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in <b>Power BI</b>, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Develop, maintain, and optimize <b>interactive dashboards and reports in Power BI</b>.<br>
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights.<br>
</li><li>
Design and implement <b>data models, DAX measures, and calculated fields</b> in Power BI.<br>
</li><li>
Create <b>ETL / data transformation workflows</b> using Power Query and SQL.<br>
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards.<br>
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems.<br>
</li><li>
Monitor report performance and improve dashboard usability and visualization standards.<br>
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports.<br>
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
<br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>Data Analytics / BI Engineering / Reporting</b><br>
</li><li>
Strong expertise in <b>Power BI (Dashboards, DAX, Power Query, Data Modeling)</b><br>
</li><li>
Good experience in <b>SQL queries, joins, stored procedures, and data extraction</b><br>
</li><li>
Knowledge of <b>Excel (advanced formulas, pivot tables, data analysis)</b><br>
</li><li>
Understanding of <b>ETL processes and data warehousing concepts</b><br>
</li><li>
Strong analytical and problem-solving skills<br>
</li><li>
Good communication and stakeholder management skills</li></ul><p><b><br>
Preferred Skills:</b></p><br>
<ul><li>
Experience with <b>Python / Excel VBA / Tableau</b> is an added advantage<br>
</li><li>
Exposure to <b>Azure / cloud-based data platforms</b> preferred<br>
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div><p></p>

Data Analytics Engineer

ByteCrew

<div>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 About the job Data Engineer
 <br/>
 <br/>
 We are seeking a Data Engineer to design, build, and operate data pipelines and warehouses powering
 <br/>
 <br/>
 enterprise analytics and reporting. The role covers ingestion, transformation, modelling, and operationalisation
 <br/>
 <br/>
 across cloud and on-prem data sources.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement batch + streaming data pipelines (ETL/ELT).
  </li>
  <li>
   Build and maintain dimensional/data-warehouse models (Star/Snowflake schema, slowly-changing
   <br/>
   <br/>
  </li>
 </ul>
 dimensions).
 <br/>
 <br/>
 <ul>
  <li>
   Develop in SQL, Python, and at least one orchestrator (Airflow, Azure Data Factory, AWS Glue).
  </li>
  <li>
   Operate data quality checks, lineage, and observability (Great Expectations, Monte Carlo, or similar).
  </li>
  <li>
   Optimise warehouse performance (Snowflake, Synapse, BigQuery, Redshift).
  </li>
  <li>
   Partner with BI/analytics teams on semantic models and self-service consumption.
  </li>
  <li>
   Document pipelines, schemas, and runbooks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in CS, Engineering, Statistics, or equivalent.
  </li>
  <li>
   4+ years building production data pipelines.
  </li>
  <li>
   Strong SQL (window functions, CTEs, query tuning) and Python.
  </li>
  <li>
   Hands-on with at least one major DW/Lakehouse: Snowflake, BigQuery, Synapse, Redshift, Databricks.
  </li>
  <li>
   Experience with at least one orchestrator: Airflow, ADF, Glue, dbt + scheduler.
  </li>
  <li>
   Familiarity with cloud object storage (S3, ADLS, GCS) and file formats (Parquet, ORC, Avro).
  </li>
  <li>
   Professional English &mdash; mandatory.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred / Nice To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Working knowledge of Arabic is a plus.
  </li>
  <li>
   Streaming experience: Kafka, Kinesis, Event Hubs, Spark Structured Streaming.
  </li>
  <li>
   dbt Analytics Engineer or cloud data engineer certifications.
  </li>
  <li>
   Exposure to data governance/cataloguing (Purview, Unity Catalog, Collibra).
  </li>
 </ul>
</div>


Data Engineer
Lahore, Pakistan

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