azure engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

NTT DATA

<b>Req ID:</b> 366997
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a Azure Cloud Engineer to join our team in Richmond, Virginia (US-VA), United States (US).
<br><br>
Azure Cloud Engineer
<br><br>
NTT Data is seeking a highly capable Azure Cloud Engineer with at least 5 years of hands-on experience designing, deploying, automating, and supporting Microsoft Azure environments. This role requires a well-rounded engineer with strong expertise across Infrastructure as Code (IaC), IaaS, PaaS, and SaaS, and the ability to work across infrastructure, platform services, security, automation, and operational support.
<br><br>
The ideal candidate will have deep technical knowledge of Azure services, strong scripting and automation skills, and a proven ability to build scalable, secure, and reliable cloud solutions. This individual should be comfortable working independently and collaboratively, supporting both project-based implementations and day-to-day cloud operations.
<br><br>
Key Responsibilities
<br><br>
<ul>
<li>Design, deploy, configure, and support cloud solutions in Microsoft Azure</li>
<li>Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Bicep, ARM templates, or similar</li>
<li>Engineer, manage, and optimize Azure IaaS services including virtual machines, networking, storage, backup, and disaster recovery</li>
<li>Implement and support Azure PaaS services such as App Services, Azure SQL, Key Vault, Functions, API Management, Logic Apps, and storage services</li>
<li>Administer and integrate Azure-related SaaS offerings including Azure AD/Entra ID, and other enterprise cloud applications as needed</li>
<li>Design and manage Azure networking components including VNets, NSGs, Load Balancers, Application Gateways, VPNs, ExpressRoute, DNS, and firewalls</li>
<li>Implement identity and access management using Microsoft Entra ID (Azure AD), RBAC, conditional access, and privileged access controls</li>
<li>Support CI/CD pipelines and cloud automation for repeatable, secure, and efficient deployments</li>
<li>Monitor system performance, availability, cost, and security posture using Azure-native and third-party tools</li>
<li>Troubleshoot issues across compute, storage, networking, identity, security, and application hosting layers</li>
<li>Ensure cloud environments align with organizational standards for security, governance, compliance, and operational excellence</li>
<li>Collaborate with architects, developers, security teams, and business stakeholders to deliver cloud solutions that meet technical and operational requirements</li>
<li>Develop and maintain technical documentation, diagrams, standards, and operational procedures</li>
<li>Provide support for cloud migration, modernization, optimization, and continuous improvement initiatives</li>
</ul>
Required Qualifications
<br><br>
<ul>
<li>5+ years of experience working as an Azure Engineer, Cloud Engineer, Systems Engineer.</li>
<li>3+ years of experience with Microsoft Azure across infrastructure and platform services</li>
<li>Experience implementing Infrastructure as Code</li>
<li>Experience supporting IaaS, PaaS, and SaaS solutions in Azure environments</li>
<li>Experience with Azure compute, storage, networking, monitoring, backup, and identity services</li>
<li>Experience with Azure governance, security, and best practices</li>
<li>Experience with scripting and automation using PowerShell, Bash, Python, or similar</li>
<li>Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or equivalent</li>
</ul>
Required Certifications
<br><br>
Candidates must hold active Azure certifications, preferably including one or more of the following:
<br><ul>
<li>Microsoft Certified: Azure Administrator Associate</li>
<li>Microsoft Certified: Azure Solutions Architect Expert</li>
<li>Microsoft Certified: Azure Security Engineer Associate</li>
<li>Microsoft Certified: Azure Network Engineer Associate</li>
<li>Other relevant Microsoft Azure certifications may also be considered</li>
</ul>
Preferred Qualifications
<br><br>
<ul>
<li>Experience with hybrid cloud or multi-cloud environments</li>
<li>Experience with security hardening, compliance frameworks, and governance policies</li>
<li>Experience with backup, disaster recovery, and business continuity planning</li>
<li>Familiarity with Kubernetes, containers, and Azure Kubernetes Service (AKS)</li>
<li>Experience supporting enterprise-scale Azure environments</li>
<li>Experience with cost optimization and Azure resource management</li>
<li>Familiarity with ITSM, DevSecOps, and cloud operational support models</li>
<li>Strong troubleshooting, analytical, and problem-solving skills</li>
<li>Ability to work across multiple disciplines and function as a well-rounded cloud engineer</li>
<li>Strong verbal and written communication skills</li>
<li>With at least 5 years of hands-on experience designing, deploying, automating, and supporting Microsoft Azure environments. This role requires a well-rounded engineer with strong expertise across Infrastructure as Code (IaC), IaaS, PaaS, and SaaS, and the ability to work across infrastructure, platform services, security, automation, and operational support.</li>
<li>The ideal candidate will have deep technical knowledge of Azure services, strong scripting and automation skills, and a proven ability to build scalable, secure, and reliable cloud solutions. This individual should be comfortable working independently and collaboratively, supporting both project-based implementations and day-to-day cloud operations.</li>
</ul>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $94,736 – $ 150,525. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
<br><br>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Azure Cloud 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

Stellar Solutions

<div><h2 class="jobSectionHeader"><b>Azure Data Engineer</b></h2>
<p><b>Location:</b> Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH)</p>
<p><b>Duration:</b> Long Term Contract</p>
<h3 class="jobSectionHeader"><b>Position Summary</b></h3>
<p>We are seeking a highly motivated Azure Data Engineer with 7-9 years of experience to join our enterprise data engineering team. The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a solid understanding of data warehousing concepts and hands‑on experience in Azure Data Factory and Synapse. Exposure to Microsoft Fabric is preferred but not required.</p>
<p>This role will focus on supporting data pipeline development, migration, and optimization efforts, enabling scalable and reliable data solutions across Finance, Operations, and Enterprise functions.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li><p>Support <b>data pipeline development and migration</b> from legacy data warehouses to <b>Azure Fabric Lakehouse/Warehouse</b>.</p>
</li><li><p>Write efficient <b>SQL queries</b> (T‑SQL preferred) for extraction, transformation, and validation across multiple databases (SQL Server 2022, Azure SQL MI, Synapse).</p>
</li><li><p>Develop and debug <b>Python scripts</b> for automation, ingestion, and data quality checks.</p>
</li><li><p>Assist in building <b>Fabric dataflows, pipelines, and lakehouse tables</b> aligned with enterprise data‑modeling standards.</p>
</li><li><p>Collaborate with senior engineers on <b>ETL design, optimization, and performance tuning</b>.</p>
</li><li><p>Perform <b>unit testing, peer code reviews</b>, and maintain documentation in Confluence/Git.</p>
</li><li><p>Monitor and troubleshoot <b>data load processes</b>, resolving job failures and updating JIRA/Zephyr test cases.</p>
</li><li><p>Continuously learn and apply emerging Azure technologies (Databricks, Fabric, Power BI) to improve processes.</p>
</li></ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3>
<ul><li><p>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field.</p>
</li><li><p>7-9 years of professional experience in <b>data engineering</b>.</p>
</li><li><p>Strong proficiency in <b>SQL</b> (T‑SQL preferred).</p>
</li><li><p>Hands‑on experience with <b>Python scripting</b>.</p>
</li><li><p>Solid understanding of <b>data warehousing concepts</b> (ETL, staging, fact/dimension modeling).</p>
</li><li><p>Strong expertise with <b>Azure services</b>: Data Factory, Synapse (Fabric experience a plus).</p>
</li><li><p>Experience with <b>Git/Azure DevOps, Confluence, JIRA</b>.</p>
</li><li><p>Knowledge of <b>data modeling, metadata management, and data quality principles</b>.</p>
</li><li><p>Familiarity with <b>Agile/Scrum environments</b>.</p>
</li><li><p>Exposure to <b>Power BI</b> and basic <b>DAX concepts</b>.</p>
</li><li><p>Strong analytical mindset, attention to detail, and enthusiasm for learning enterprise‑scale systems.</p></li></ul></div>

AmeriHealth Caritas

<div><p><b>THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.
</b></p><p><b>WE WILL NOT CONSIDER REMOTE CANDIDATES!</b></p><p><b>
Role Overview</b></p><p>
We are seeking an <b>Azure Data Engineer </b>with an extensive background in building data pipelines using Azure Data Factory and Databricks to join our growing Enterprise Data Office. You will be designing and implementing optimal data pipelines/flows from multiple sources; experience with Snowflake and Azure Synapse is a plus.. If you are a confident, skilled, and energetic professional and can complement a blended team, we want to meet you.</p><p><b>
Responsibilities</b></p><ul><li>
Build and maintain scalable automated data pipelines. Support critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation.
</li><li>Strong experience as an Azure Data Engineer and must have Azure Databricks and Azure Data Factory experience.</li><li>
Demonstrated experience of turning business use cases and requirements into technical solutions.</li><li>
Expert level understanding on Azure Data Factory, SQL, ADLS, Azure Databricks, PySpark, Azure DevOps, Kafka, Python is required.</li><li>
Experience in business processing mapping of data and analytics solutions.</li><li>
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.</li><li>
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.</li><li>
HVR, Snowflake, Azure Synapse, SQL Server, Collibra Governance tools is a plus.</li><li>
Experience preparing data for Data Science and Machine Learning.</li><li>
Experience preparing data for use in Azure Databricks.</li><li>
Demonstrated experience preparing data and building data pipelines reusable components and frameworks.</li><li>
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>
Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data needs.</li><li>
Identify and tackle issues concerning data management to improve data quality.</li><li>
Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage.</li><li>
Strong knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.</li><li>
Strong team collaboration and experience working with remote teams.</li><li>
Experience with Git/TFS/VSTS is a must.</li></ul><p><b>
Education and Experience</b></p><ul><li>
At least five (5)+ years of experience with Azure Data Engineering.</li><li><b>
At least four (4)+ years of hands-on experience in Azure Databricks and Azure Data Factory.
</b></li><li><b>At least five (5)+ years of experience programming in Python, PySpark, Scala, Shell, T-SQL etc.</b></li><li>
Experience as Data Engineer in Azure Big Data Environment.</li><li>
Expertise in ETL tools i.e. (SSIS, Data Stage).</li><li>
Expertise in Implementing Data Warehousing and Data Lake Solutions.</li><li>
Experience with working in Agile environment as part of a scrum team.</li><li>
Hands-on experience in Azure stack and hands-on experience on HVR, Kafka and Snowflake.</li><li>
Good understanding of Azure Databricks platform and ability to build data analytics solutions to support the required performance &amp; scale.</li><li>
Good understanding and experience working on Deltalake using Apache Delta and Unity Catalog in Azure Databricks.</li><li>
Experienced working on performance tuning and optimizing long running jobs.</li><li>
Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment.</li><li>
Solid understanding of Modern Data Warehouse and Data Warehousing concepts.</li><li>
Proficient in a source code control system.</li><li>
Bachelor&rsquo;s degree in technology, related field or equivalent combination of education and relevant work experience.</li></ul><p><b>
Our Comprehensive Benefits Package</b></p><p>
Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.</p><p>
Your career starts now. We are looking for the next generation of health care leaders.</p><p>
At AmeriHealth Caritas, we are passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we would like to connect with you.</p><p>
Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.</p><p>
Discover more about us at www.amerihealthcaritas.com.</p></div>

<div><p>Azure AD Engineer Contract Location: Mckinney, TX (Hybrid) Job Description: The Identity &amp; Access Management (IAM) team plays a pivotal role in our Cybersecurity program by enabling secure, scalable, and compliant access to enterprise and customer systems. Our IAM program encompasses:</p>
<ul><li>Identity Governance &amp; Administration (IGA)</li>
<li>Authentication Services</li>
<li>Privileged Access Management (PAM)</li>
<li>Public Key Infrastructure (PKI)</li>
<li>Consumer Identity &amp; Access Management (CIAM)</li>
</ul><p>We are seeking a Cybersecurity Staff Engineer IAM to lead the design, implementation, and continuous improvement of IAM solutions. This role will focus on RBAC, MFA, federated authentication, certificate management, privileged access, and user lifecycle automation. Ideal candidates will bring deep technical expertise across SailPoint ISC, Entra ID ( Azure AD), Active Directory, PAM, and PKI, along with a strong understanding of identity architecture and security best practices.</p>
<b>Key Responsibilities:</b>
<ul><li>Lead the design and implementation of IAM capabilities, including identity lifecycle, authentication, authorization, and access controls.</li>
<li>Collaborate across departments to define RBAC models, MFA strategies, access governance, and application integrations.</li>
<li>Serve as a trusted IAM subject matter expert (SME) to technical teams, business units, and senior leadership.</li>
<li>Guide to integration efforts between enterprise applications and identity platforms (e.g., Entra ID, AD, SailPoint ISC).</li>
<li>Oversee multiple IAM projects concurrently, ensuring timely, secure, and scalable delivery.</li>
<li>Drive stakeholder alignment, including technical teams and business leaders, through proactive communication and conflict resolution.</li>
<li>Provide technical mentorship to junior engineers and develop documentation to support operational continuity and audit readiness.</li>
<li>Analyze and evaluate new IAM technologies, including authentication protocols, PKI, and automation tooling.</li>
<li>Partner with internal teams on change management, access reviews, and identity lifecycle automation initiatives.</li>
<li>Contribute to the strategic roadmap for IAM, identifying opportunities for innovation, risk reduction, and operational efficiency.</li>
</ul><b>Required Qualifications:</b>
<ul><li>8+ years of experience in Identity &amp; Access Management or a related cybersecurity discipline.</li>
<li>Deep hands-on experience with SailPoint ISC, Entra ID ( Azure AD), Active Directory, and MFA/SSO solutions.</li>
<li>Strong understanding of IAM architecture, RBAC, PIM, and CIAM principles.</li>
<li>Proficient in scripting and automation (e.g., PowerShell, Python).</li>
<li>Demonstrated ability to lead IAM initiatives and engage with both technical and non-technical stakeholders.</li>
<li>Excellent communication, analytical, and organizational skills.</li>
<li>Comfortable working independently or within a team in a hybrid work.</li>
</ul><p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Oscar

<div>
 <p>
  <strong>
   Cairo, Egypt (Hybrid - 4 days onsite)
  </strong>
 </p>
 <p>
  <strong>
   650,000 EGP - 1,400,000 EGP base salary (DOE)
  </strong>
 </p>
 <p>
  <strong>
   Full-time | Permanent
  </strong>
 </p>
 <p>
  <strong>
   ( + Transportation Allowance + Strong benefits package)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the Company
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    The Role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The organisation is seeking an experienced
  <strong>
   Senior Azure Data Engineer / Developer
  </strong>
  to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 </p>
 <p>
  The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain
   <strong>
    ETL pipelines
   </strong>
   using
   <strong>
    Azure Data Factory
   </strong>
  </li>
  <li>
   Ingest and transform data from multiple source systems into
   <strong>
    Azure Data Lake Storage
   </strong>
   and
   <strong>
    Azure SQL
   </strong>
  </li>
  <li>
   Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
  </li>
  <li>
   Build and optimise data solutions using
   <strong>
    Databricks, Spark, Hive
   </strong>
   , and
   <strong>
    PySpark
   </strong>
  </li>
  <li>
   Ensure data quality, integrity, availability, and performance across reporting layers
  </li>
  <li>
   Support BI teams by delivering certified datasets for
   <strong>
    Power BI
   </strong>
   consumption
  </li>
  <li>
   Collaborate with data scientists, analysts, and platform teams on data requirements
  </li>
  <li>
   Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
  </li>
  <li>
   Mentor junior team members and contribute to technical decision-making (senior level)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
  </li>
  <li>
   3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
  </li>
  <li>
   Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
  </li>
  <li>
   Strong hands-on experience with Power BI, including DAX and Power Query M
  </li>
  <li>
   Solid experience with Azure SQL Database and advanced T-SQL
  </li>
  <li>
   Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
  </li>
  <li>
   Strong programming skills in Python, C#, .NET, Scala, or Java
  </li>
  <li>
   Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
  </li>
  <li>
   Good understanding of DevOps principles and experience working with CI/CD pipelines
  </li>
  <li>
   Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills
  </li>
  <li>
   Professional working proficiency in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Experience with
   <strong>
    DevSecOps
   </strong>
   practices
  </li>
  <li>
   Exposure to
   <strong>
    SAFE / Agile
   </strong>
   delivery environments
  </li>
  <li>
   Knowledge of
   <strong>
    SAP BW
   </strong>
   or enterprise ERP data sources
  </li>
  <li>
   Previous leadership or mentoring experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s on Offer
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary:
   <strong>
    650,000 EGP - 1,400,000 EGP
   </strong>
   , depending on experience
  </li>
  <li>
   <strong>
    Hybrid working model
   </strong>
   (4 days onsite in Cairo)
  </li>
  <li>
   Private healthcare, annual bonus plus more benefits
  </li>
  <li>
   Transportation / Car Allowance
  </li>
  <li>
   Long-term career growth in a stable, well-funded organisation
  </li>
 </ul>
 <p>
 </p>
</div>


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