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azure data engineer

Mind Stream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer -

Job location: Doha, QatarJob description:Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>Have you implemented selective deployment for ADF pipelines?</li><li>What is your current and expected salary?</li><li>What is your notice period or earliest joining availability?</li></ul>

Azure DevOps (Data) Engineer -

help AG

<div>Help AG is looking for a experienced Cloud Security Engineer who will be working closely with governance, operations, and Help AG teams. The Cloud Security Engineer will be responsible for designing, implementing, and maintaining security controls across multi-cloud and hybrid environments with a strong focus on Microsoft Azure and Microsoft 365. 
Responsibilities
<ul><li>Architect and implement secure cloud solutions for Azure, AWS, and Microsoft 365 environments.</li><li>
Define and enforce identity and access management (IAM) policies, conditional access, and Zero Trust security models.
</li><li>Manage and optimize SIEM/SOAR platforms such as Microsoft Sentinel, Splunk, or ArcSight.
</li><li>Develop and maintain use cases, detection rules, dashboards, and automation playbooks in Sentinel.
</li><li>Investigate and respond to security incidents, working closely with SOC and IR teams.
</li><li>Administer and manage Microsoft Defender ATP, Intune, Azure Security Center, and Azure Information Protection.</li><li>
Monitor cloud environments for threats, vulnerabilities, and misconfigurations.
</li><li>Deploy and maintain endpoint detection, firewalls, proxies, and DLP solutions across hybrid environments.
</li><li>Conduct cloud risk assessments, security audits, and compliance reviews against frameworks like NIST, CIS Benchmarks, and MITRE ATT&amp;CK.
</li><li>Provide recommendations and remediation steps for improving the organization&rsquo;s cloud security posture.
</li><li>Work with IT, SOC, DevOps, and compliance teams to ensure secure deployment pipelines and governance alignment.
</li><li>Stay updated on evolving cloud security threats, attack techniques, and emerging technologies.
</li><li>Prepare detailed technical documentation, reports, and SOPs</li></ul>
Qualifications &amp; Skills
<ul><li>Bachelor&rsquo;s degree in computer science, Cybersecurity, Information Systems, or a related field.
</li><li>7+ years of hands-on experience in Cloud Security Engineering.
</li><li>Proven expertise in Microsoft Azure Security and Microsoft 365 Security.
</li><li>Exposure to AWS Security; familiarity with GCP security tools is an advantage.
</li><li>Strong experience with Microsoft Sentinel
</li><li>Log ingestion, content creation, KQL queries, playbooks, connectors, automation.
</li><li>Expertise in Microsoft Defender suite:
</li><li>Defender for Endpoint, Identity, Cloud Apps, Defender for Cloud.
</li><li>Hands-on experience with: o Azure Security Center, Azure Information Protection, Microsoft Intune.
o Azure Key Vault and secrets management.
o Strong knowledge of Azure infrastructure security:
o VNets, NSGs, firewalls, Application Gateway, WAF.
o Proficient in Entra ID (Azure AD), IAM, and Conditional Access.
o Experience with cloud security posture management (CSPM) tools such as Prisma Cloud.
o Exposure to AWS security services and Kubernetes security.
o Experience conducting cloud security assessments, governance, and incident response.
o Understanding of CI/CD security in DevOps and DevSecOps environments.
o Exposure to Akamai security solutions is a plus.</li><li>
Strong knowledge of: o Networking, firewalls, IDS/IPS, and endpoint protection.
</li><li>Skilled in scripting and automation using:
o PowerShell, Python, Bash, and Terraform.
</li><li>Experience with Infrastructure as Code (IaC) for automating cloud security configurations.
</li><li>Familiarity with major compliance frameworks:
o ISO 27001, NIST CSF, GDPR, and related cloud governance standards.
o Excellent problem-solving and troubleshooting skills.
</li><li>Strong client-facing communication and technical documentation abilities.
</li><li>Ability to work effectively under pressure in dynamic environments.
</li><li>Preferred Certifications:
o Microsoft AZ-500 &ndash; Azure Security Engineer
o Microsoft SC-200 &ndash; Security Operations Analyst
o CISSP, CISM, CEH, or GIAC (preferred)</li></ul>
Benefits<ul><li>
Health insurance with one of the leading global providers for medical insurance.</li><li>
Career progression and growth through challenging projects and work.</li><li>
Employee engagement and wellness campaigns activities throughout the year.</li><li>
Excellent learning and development opportunities.</li><li>
Annual flight tickets to home country.</li><li>
Inclusive and diverse working environment.</li><li>
Flexible/Hybrid working environment.</li><li>
Open door policy.</li></ul>
About Us
Help AG is the cybersecurity arm of e&amp; enterprise (formerly Etisalat Digital) and provides leading enterprise businesses across the Middle East with strategic consultancy combined with tailored information security solutions and services that address their diverse requirements, enabling them to evolve securely with a competitive edge.
Present in the Middle East since 2004, Help AG was strategically acquired by e&amp; (formerly Etisalat Group) in 2020, hence creating a cybersecurity and digital transformation powerhouse in the region.
Help AG has firmly established itself as the region's trusted IT security advisor by remaining vendor-agnostic, trustworthy, independent, and maintaining its focus on all aspects of cybersecurity.
With best of breed technologies from industry-leading vendor partners, expertly qualified service delivery teams and a state-of-the-art consulting practice, Help AG delivers unmatched value to its customers by strengthening their cyber defenses and safeguarding their business.</div>

Cloud Security Engineer

We are seeking an experienced Azure Cloud Architect to lead the design and execution of a major cloud migration initiative. The ideal candidate will bring deep expertise in Azure architecture, migration strategies, and cloud governance, ensuring secure, scalable, and cost-optimized cloud solutions.Key Responsibilities<ul><li>Architect and design end-to-end Azure solutions for migrating on-premises workloads.</li><li>Develop migration strategies for applications, databases, and infrastructure.</li><li>Define landing zones, networking, identity, and security architecture aligned with the Azure Well-Architected Framework.</li><li>Collaborate with stakeholders to assess current environments and create cloud adoption roadmaps.</li><li>Implement HA/DR, compliance controls, and cost optimization measures.</li><li>Provide technical leadership and ensure best-practice adherence across migration teams.</li><li>Conduct risk assessments and create mitigation plans.</li><li>Stay updated on Azure technologies and market trends.</li></ul>Required Skills &amp; Experience<ul><li>10+ years in IT, with 5+ years in cloud architecture roles.</li><li>Proven expertise in Azure migration projects (IaaS, PaaS, applications, databases).</li><li>Strong knowledge of Azure networking, security, identity, and governance.</li><li>Hands-on experience with Azure Migrate, DMS, ASR.</li><li>Familiarity with DevOps, IaC (ARM/Bicep/Terraform).</li><li>Understanding of compliance frameworks and cloud cost management.</li><li>Excellent communication and stakeholder management skills.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Azure Administrator Associate</li><li>Azure Security Engineer Associate</li></ul>*Job Type: Full-timeApplication Question(s):<ul><li>Do you have at least 10 years of total IT experience?</li><li>Do you have 5 or more years of experience working as an Azure Cloud Architect?</li><li>Have you led or worked on end-to-end Azure migration projects (IaaS/PaaS/applications/databases)?</li><li>Are you experienced with Azure Migrate, Database Migration Service (DMS), and Azure Site Recovery (ASR)?</li><li>Do you have strong knowledge of Azure networking, security, identity, and governance?</li><li>Are you familiar with Infrastructure as Code tools such as ARM, Bicep, or Terraform?</li><li>Do you have experience designing landing zones and implementing Azure HA/DR solutions?</li><li>What is your current and expected salary? Notice period?</li></ul>

Azure Cloud Architect -

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 
 Azure Healthcare Data Analyst
 
 
 
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 Employment Type:
 
 Contract (Onsite, 5 days per week)
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a highly skilled
 
 Healthcare Data Analyst
 
 with strong expertise in
 
 Microsoft Azure
 
 and a deep understanding of healthcare data. The successful candidate will design, build, and optimize data pipelines, ensuring data integrity and supporting business intelligence initiatives.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain scalable
 
 data pipelines
 
 using
 
 Azure Data Factory
 
 ,
 
 Databricks
 
 , and other Azure services.
 </li>
 <li>
 Clean, transform, and model large datasets using
 
 Apache Spark
 
 ,
 
 Python
 
 , and
 
 MS SQL
 
 .
 </li>
 <li>
 Perform in-depth data analysis and ensure compliance with
 
 data governance
 
 and
 
 security standards
 
 (including HIPAA).
 </li>
 <li>
 Collaborate with BI teams to design data models and deliver interactive dashboards using
 
 Power BI
 
 or Databricks.
 </li>
 <li>
 Optimize data flows for performance and scalability across
 
 Azure Data Lake
 
 ,
 
 Azure SQL
 
 , and
 
 Synapse
 
 environments.
 </li>
 <li>
 Document data sources, transformations, and processes for transparency and audit readiness.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience in data analytics or engineering roles.
 </li>
 <li>
 Proven expertise in
 
 Azure Cloud Services
 
 (Data Factory, Databricks, SQL, Synapse).
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 and
 
 PySpark
 
 .
 </li>
 <li>
 Proficiency in
 
 MS SQL
 
 and experience with
 
 ETL processes
 
 .
 </li>
 <li>
 Familiarity with
 
 Power BI
 
 or similar BI tools.
 </li>
 <li>
 Background in
 
 healthcare data
 
 (EHR, clinical analytics, population health) is highly preferred.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 Previous experience with
 
 population health
 
 ,
 
 EHR systems
 
 , or
 
 clinical analytics
 
 .
 </li>
 </ul>
 
 
</div>

Clinical Data Analyst

Visionary Tech Services LLC

<div>The Lead Data and BI Engineer makes trusted, timely data and insight delivery for AI. Reporting to the Head of AI and Data Engineering, this role owns the end&#8209;to&#8209;end data and BI stack from ingestion and transformation to semantic layers, metrics, and dashboards and line&#8209;manages Associate and Senior Data Engineers and BI Engineers to ship secure, governed, and reusable data products at scale.
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s in CS, Software Engineering, Data Engineering, or related.</li>
<li>8+ years across data engineering and BI engineering with ownership of production data platforms, pipelines, and analytics delivery.</li>
<li>Deep hands&#8209;on with batch and streaming patterns(ELT/ETL, CDC, event streams), orchestration (such as Azure Data Factory, Databricks, and Airflow), and Lakehouse stacks (such as Delta/Snowflake/BigQuery) on Azure/AWS/GCP.</li>
<li>Proven experience with semantic models and metrics layers (dbt + semantic layer, MetricFlow, or equivalent),dimensional modeling, and KPI frameworks powering BI tools (such as Power BI/Tableau).</li>
<li>Strong data governance and quality practices: lineage, cataloging, PII handling, access controls, testing and observability (such as Great Expectations/Open Lineage/Data Hub), cost and performance optimization.</li>
<li>API design and data product mindset: well&#8209;defined interfaces, contracts, SLAs, and reusable components; experience enabling self&#8209;serve analytics and domain data ownership.</li>
<li>Leadership: line management, hiring, coaching, code and model review, operating standards, and cross&#8209;functional delivery with AI, Product, Security, and Platform teams.</li>
<li>Nice to have: real&#8209;time analytics, metric stores, headless BI, dbt Semantic Layer, Microsoft Fabric; familiarity with RAI/privacy controls for AI and analytics.</li>
<li>Strategy and ownership</li>
<li>Own the data and BI architecture and roadmap across ingestion, transformation, semantic layers, and presentation.</li>
<li>Define standards for modeling, testing, observability, CI/CD, and access controls; ensure reuse and documentation.</li>
<li>Data engineering</li>
<li>Lead design and delivery of scalable ELT/ETL, CDC, and streaming pipelines; implement data contracts and SLAs.</li>
<li>Optimize reliability, performance, and cost on cloud data platforms; enforce data quality gates and lineage.</li>
<li>BI engineering and semantic modeling</li>
<li>Establish conformed dimensions and governed metrics; implement a semantic layer and metric definitions used across BI tools.</li>
<li>Lead build of analytics datasets and dashboards for exec and operational use; standardize KPI frameworks and reporting rhythms.</li>
<li>Governance and security</li>
<li>Embed governance-by-design: cataloging, lineage, RBAC/ABAC, PII handling, and audit trails; partner with Security and RAI.</li>
<li>Set data validation, testing, and monitoring policies; act on data incidents with clear runbooks.</li>
<li>Collaboration and enablement</li>
<li>Partner with AI/ML Engineering to supply reliable features and serve model outputs back into the warehouse/lake house.</li>
<li>Enable self&#8209;serve analytics with curated data products, documentation, and training for analysts and business teams.</li>
<li>Leadership and people</li>
<li>Line&#8209;manage Associate and Senior Data Engineers and BI Engineers: coach, set goals, review designs and code, and grow capabilities.</li>
<li>Drive continuous improvement in developer experience, pipeline reliability, and time&#8209;to&#8209;insight via templates and reference implementations.</li>
<li>Builds reliable data, analytics and BI data products that business teams trust for decisions. Standardizes models, metrics, and pipelines to improve performance, governance, and time&#8209;to&#8209;insight.</li></ul></div>

Lead Data and BI Engineer

TATWEER MIDDLE EAST AND AFRICA L.L.C

<div>
 
 Role: Senior Project Manager, Artificial Intelligence
 
 
 
 Project Planning &amp; Execution:
 
 
 <ul>
 <li>
 Lead end-to end AI project delivery &mdash; from requirements gathering, feasibility analysis, and design to implementation and post-deployment optimization.
 </li>
 <li>
 Define clear project scope, timelines, milestones, and deliverables in alignment with business objectives.
 </li>
 <li>
 Manage crossfunctional teams including data scientists, ML engineers, software developers, and business analysts.
 </li>
 <li>
 Oversee the integration of AI solutions into existing systems or products.
 </li>
 </ul>
 
 
 Stakeholder Management:
 
 
 <ul>
 <li>
 Act as the main liaison between technical teams and business stakeholders.
 </li>
 <li>
 Communicate project status, risks, and dependencies to senior management and clients.
 </li>
 <li>
 Translate technical outputs into business insights and actionable strategies.
 </li>
 </ul>
 
 
 Technical &amp; Strategic Alignment:
 
 
 <ul>
 <li>
 Work closely with AI architects and data teams to ensure data availability, quality, and governance.
 </li>
 <li>
 Support model lifecycle management &mdash; including model training, validation, deployment, and monitoring.
 </li>
 <li>
 Identify opportunities for applying AI/ML to automate processes, improve decision-making, or enhance customer experience.
 </li>
 <li>
 Ensure compliance with AI ethics, data privacy, and regulatory standards (e.g., GDPR, CCPA).
 </li>
 </ul>
 
 
 Governance &amp; Reporting:
 
 
 <ul>
 <li>
 Develop project documentation including charters, roadmaps, SOWs, and post-implementation reports.
 </li>
 <li>
 Track KPIs and project performance metrics to evaluate impact and return on investment (ROI).
 </li>
 <li>
 Manage project budgets, resources, and vendor relationships.
 </li>
 </ul>
 
 
 
 
 Project Management: PMP (Project Management Professional) certification is highly required.
 
 
 Agile Methodologies: Certified ScrumMaster (CSM), SAFe Agilist (SA), or similar Agile certification.
 
 
 AI/ML (Beneficial): Certifications in AI/ML from major cloud platforms (e.g., AWS Certified Machine Learning &ndash; Specialty, Azure AI Engineer Associate) are a significant advantage.
 
</div>

Project Manager

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