azure data engineer

QuidelOrtho Corporation

<div><h2 class="jobSectionHeader">The Opportunity 
</h2>QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most &ndash; home to hospital, lab to clinic.
Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all.
The Role
At QuidelOrtho, we&rsquo;re advancing the power of diagnostics for a healthier future for all . Join our mission as our next AI/ML Data Engineer to support our Global Data and Analytics team. The AI/ML Data Engineer will be responsible for designing, building, and optimizing data pipelines and infrastructure using Databricks to support AI and machine learning (ML) initiatives. This role will involve working closely with business stakeholders to identify high-value AI/ML use cases and translating business requirements into technical solutions. The engineer will work to ensure the successful deployment of AI/ML solutions at scale, leveraging Azure services and Databricks tools.
This position will support a hybrid schedule at our San Diego (Summers Ridge) office.
The Responsibilities
<ul><li>Work directly with business stakeholders to identify and define AI/ML use cases, translating business needs into technical requirements.
</li><li>Design, develop, and optimize scalable data pipelines in Databricks for AI/ML applications, ensuring efficient data ingestion, transformation, and storage.
</li><li>Build and manage Apache Spark-based data processing jobs in Databricks, ensuring performance optimization and resource efficiency.
</li><li>Implement ETL/ELT processes and orchestrate workflows using Azure Data Factory, integrating various data sources such as Azure Data Lake, Blob Storage, and Microsoft Fabric.
</li><li>Collaborate with Data Engineering teams to meet data infrastructure needs for model training, tuning, and deployment within Databricks and Azure Machine Learning.
</li><li>Monitor, troubleshoot, and resolve issues within Databricks workflows, ensuring smooth operation and minimal downtime.
</li><li>Implement best practices for data security, governance, and compliance within Databricks and Azure environments.
</li><li>Automate data and machine learning workflows using CI/CD pipelines through Azure DevOps.
</li><li>Maintain documentation of workflows, processes, and best practices to ensure knowledge sharing across teams.
</li><li>Perform other work-related duties as assigned.
</li></ul>The Individual
Required:
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
</li><li>1-3 years of experience in data engineering, with a strong focus on Databricks and AI/ML applications.
</li><li>Proven experience working directly with business stakeholders to identify and implement AI/ML use cases.
</li><li>Expertise in Apache Spark and hands-on experience with Databricks for building and optimizing data pipelines.
</li><li>Strong programming skills in Python and Scala for data engineering and machine learning workflows in Databricks.
</li><li>Experience with Azure Data Factory, Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics.
</li><li>Proficiency with Databricks Delta Lake for data reliability and performance optimization.
</li><li>Familiarity with MLflow and Databricks Runtime for Machine Learning for model management and deployment.
</li><li>Knowledge of Azure DevOps for implementing CI/CD pipelines in Databricks-based projects.
</li><li>Strong understanding of data governance, security practices, and compliance requirements in cloud environments.
</li><li>Familiarity with emerging Databricks features such as Delta Live Tables and Unity Catalog.
</li><li>Ability to travel up to 5-10%.
</li><li>This position is not currently eligible for visa sponsorship.
</li></ul>Preferred:
<ul><li>Experience with real-time data processing using Apache Kafka or Azure Event Hubs.
</li><li>Master's degree in Computer Science or related technical fields.
</li></ul>The Key Working Relationships
Internal Partners:
<ul><li>Regular collaboration with business stakeholders to identify and implement AI/ML solutions that drive business value.
</li><li>Close interaction with data engineers and cross-functional teams to ensure the successful integration of data pipelines and AI/ML models.
</li><li>Work alongside IT teams to optimize cloud infrastructure and resource allocation within Databricks and Azure.
</li></ul>External Partners:
<ul><li>Customers and Vendors.
</li></ul>The Work Environment
No strenuous physical activity, though occasional light lifting of files and related materials is required. 30% of time in meetings, working with team, or talking on the phone, 70% of the time at the desk on computer, doing analytical work. Minimal travel required 5-10%. Travel includes airplane, automobile travel and overnight hotel.
Physical Demands
Typically, 40% of time in meetings; 60% of time at the desk on computer/doing paperwork/ on phone, doing analytical work. Walking, standing, and sitting for long periods of time are routine to accomplish tasks in this role. Specific vision abilities required by this job include close and distance vision and the ability to adjust focus. Ability to travel on short term notice.
Salary Transparency
The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $70,000 to $80,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time), and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate.
Equal Opportunity
QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at recruiting@quidelortho.com .</div>

AI/ML Data Engineer (Databricks)

Trickle Up

<div>We are looking for a Senior Data Engineer to design, build, and maintain enterprise-scale data platforms on Azure. You will own end-to-end data pipelines from raw ingestion to curated, analytics-ready gold layers while driving data quality standards, mentoring junior engineers, and collaborating directly with product and AI teams. 
Requirements 
Pipeline Design &amp; Architecture<ul><li>Architect and manage scalable ETL/ELT pipelines using Medallion Architecture (Bronze Silver Gold)</li><li>Design ADF pipelines, data models, and schemas optimised for performance and maintainability</li><li>Build near real-time and batch ingestion solutions across structured and semi-structured sources</li></ul>
Data Governance &amp; Quality<ul><li>Implement data quality checks, validation frameworks, and lineage tracking across pipeline layers</li><li>Enforce security controls, access policies, and compliance requirements on ADLS Gen 2 and Azure SQL</li><li>Monitor pipeline SLAs, diagnose performance bottlenecks, and own incident resolution</li></ul>
Engineering Excellence<ul><li>Drive CI/CD adoption for data pipelines using Azure DevOps or equivalent tooling</li><li>Define and enforce coding standards, peer-review practices, and documentation norms</li><li>Contribute to Al agent development initiatives as a data platform subject-matter expert</li></ul>
Collaboration &amp; Mentorship<ul><li>Partner with data scientists, analysts, and product managers to translate requirements into reliable data products</li><li>Mentor junior engineers through code reviews, design discussions, and structured knowledge sharing</li><li>Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and technical estimation</li></ul>
EXPERIENCE &amp; REQUIREMENTS
Must-Have<ul><li>5-6 years of hands-on Data Engineering experience in production environments</li><li>Deep expertise in Azure ecosystem &mdash; ADLS Gen 2, ADF, Azure SQL Database, and Delta Lake</li><li>Strong command of PySpark, Python, and SQL for large-scale data transformation</li><li>Proven track record building and operating Medallion Architecture (Bronze/Silver/Gold) on Azure</li><li>Experience designing data warehouses and data lake solutions at enterprise scale</li><li>Familiarity with CI/CD pipelines, version control (Git), and DevOps practices in a data context</li></ul>
Nice-to-Have<ul><li>Exposure to AWS or GCP in addition to Azure</li><li>Experience supporting or building Al/ML data pipelines and feature stores</li><li>Knowledge of streaming frameworks &mdash; Kafka, Event Hubs, or Spark Structured Streaming</li><li>Azure certifications (DP-203, AZ-900 or equivalent)</li></ul></div>

Senior Data Engineer

Accenture

<div>We are:
The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients&rsquo; transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.
Stronger together!
The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients&rsquo; business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.
The value for our clients and our people:
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world&rsquo;s most complex client challenges.
You Are
A data engineer with strong expertise in Azure, focused on designing, building, and operating scalable data pipelines and AI-powered solutions, ensuring reliable, high-quality data delivery in enterprise environments.
The Work
You embed with clients to design, build, and optimize enterprise-grade data pipelines and AI-powered workflows, with a primary focus on Microsoft Azure. Leveraging Azure Data Factory, Azure Databricks, and Azure AI Foundry, you partner with stakeholders to define data engineering use cases, prototype scalable architectures, and deliver production-ready solutions that operate reliably across hybrid and cloud environments. You also support day-to-day data engineering operations &mdash; monitoring pipeline health, managing incidents, and ensuring data systems run smoothly in production. 
Responsibilities<ul><li>
Lead the design, development, and optimization of scalable data pipelines on Azure &mdash; using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics &mdash; to support complex, high-volume data workflows.</li><li>
Support data engineering operations by monitoring pipeline performance, triaging failures, and maintaining SLAs across production data environments.</li><li>
Provide technical guidance and mentorship to team members on Azure data engineering best practices to enhance overall project delivery.</li><li>
Collaborate with cross-functional teams to align Azure-based data engineering solutions with broader business objectives and data strategy.</li><li>
Analyze and troubleshoot data processing issues across Azure pipelines to ensure high data quality, performance, and system reliability.</li><li>
Contribute to the continuous improvement of data architecture standards, engineering best practices, and Azure platform governance.</li><li>
Assist in operationalizing data pipelines &mdash; including scheduling, alerting, logging, and incident response &mdash; to ensure reliable and consistent data delivery.</li><li>
Work with key business representatives, data owners, end users, application designers, and data architects to model current and future data landscapes on Azure.</li><li>
Design and implement data models in Azure Synapse Analytics and Azure SQL that meet business requirements and enhance data usability and accessibility.</li><li>
Continuously evaluate and improve Azure data architecture processes to enhance pipeline efficiency, cost optimization, and operational effectiveness.</li><li>
Design and integrate AI agents using Azure AI Foundry &mdash; including retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability &mdash; into enterprise data workflows.</li><li>
Integrate AI agents and data pipelines with enterprise APIs, microservices, and workflow systems; ship and maintain via CI/CD on Azure DevOps.</li></ul>
This is a hybrid role and requires three days per week in the office. Hiring location is Dallas, TX or Columbus, OH.</div>
 
<div>What you need:<ul><li>
Minimum of 2 years experience designing, building, and optimising scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, or equivalent services on AWS or Google Cloud, in production environments.</li><li>
Minimum of 2 years experience with data modelling and warehousing &mdash; including schema design, ETL/ELT development, and Azure SQL or equivalent cloud database services &mdash; to support high-volume, complex data workflows.</li><li>
Minimum of 1 year experience in data pipeline operations &mdash; monitoring performance, triaging failures, managing incidents, and maintaining SLAs across production cloud data environments on Azure, AWS, or Google Cloud.</li><li>
Minimum of 1 year experience integrating data pipelines with enterprise APIs, microservices, and workflow systems, and deploying via CI/CD on Azure DevOps, AWS CodePipeline, or equivalent cloud DevOps tooling.</li><li>
Minimum of 1 year experience programming in Python or PySpark for data engineering, including scripting, transformation logic, and distributed data processing on cloud platforms such as Azure, AWS, or Google Cloud.</li><li>
Minimum of 1 year experience ensuring data quality, lineage, and governance &mdash; including validation frameworks, monitoring, and adherence to data standards across cloud data platforms.</li><li>
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)</li></ul>
Bonus points if you have:
Bachelor's degree in Computer Science, Data Engineering, or equivalent field 
<ul><li>
</li></ul> 
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 07/19/2026. 
 
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture 
Role Location Annual Salary Range 
California $70,350 to $205,800 
Cleveland $59,100 to $164,600 
Colorado $63,800 to $177,800 
District of Columbia $68,000 to $189,300 
Illinois $59,100 to $177,800 
Maine $54,400 to $151,400 
Maryland $63,800 to $177,800 
Massachusetts $63,800 to $189,300 
Minnesota $63,800 to $177,800 
New York $66,300 to $205,800 
New Jersey $68,000 to $205,800 
Virginia $59,100 to $189,300 
Washington $80,200 to $189,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women. 
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>

Data Engineer - Reinvention Centers

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Location:</h2>
</div><div>The preferance for the location is Cinncinnati Ohio but it can be remote as well.
</div></div><div><div><h2 class="jobSectionHeader">About the job you're considering</h2>
</div><div>Capgemini is looking to hire a senior Azure Databricks Data Engineer with Martech experience in Cinncinnati Ohio.
</div></div><div><div><h2 class="jobSectionHeader">your role</h2>
</div><div><ul><li>Provide L1.5, L2, and L3 production support for Azure and Databricks-based data pipelines and applications.</li>
<li>Troubleshoot failures related to ingestion, transformations, scheduling, performance, and schema drift.</li>
<li>Conduct root-cause analysis, implement permanent fixes, and maintain runbooks, SOPs, and knowledge articles.</li>
<li>Monitor system health, SLAs, job performance, and platform costs using Azure and Databricks observability tools.</li>
<li>Optimize Spark/Databricks workloads including cluster tuning, Delta Lake optimization, and job performance enhancements.</li>
<li>Execute controlled production changes and participate in incident, problem, and change management processes.</li>
Collaborate with engineering, operations, and business teams to implement automation and drive platform reliability. 
<li>
 
 
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Skills and experience</h2>
</div><div><ul><li>6-7 years of experience in data engineering with strong expertise in Azure Data Factory/Synapse, ADLS Gen2, Azure SQL, Key Vault, and Databricks (Spark, Delta Lake, Unity Catalog).</li>
<li>Hands-on proficiency in PySpark and SQL, with strong debugging skills for production data pipelines.</li>
<li>Martech experience</li>
<li>Good understanding of ITIL processes including Incident, Problem, and Change Management.</li>
<li>Experience with Azure Monitor, Log Analytics, and CI/CD platforms (Azure DevOps/Git).</li>
Strong analytical, communication, and documentation skills; ability to work in on-call or high-severity incident environments. 
<li>
 
 
</li></ul></div></div></div>The base compensation range for this role in the posted location is: $112,763 - $148,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Data Engineer - Azure, Databricks

Beyondsoft

<div>Overview:
<div>
WHO WE ARE:</div><div>
Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward. 
 
Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers&rsquo; most pressing challenges. 
 
When it comes time to deliver, we set our sights on that sweet spot where brilliance, emerging technologies, best practices, and accountability converge. We have a global presence spanning four continents (North America, South America, Europe, and Asia). Our global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale.</div> 
WHAT WE&rsquo;RE ABOUT:
We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better. 
Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information regarding DEI at Beyondsoft, please go to https://www.beyondsoft.com/diversity/. 
ADDITIONAL REQUIREMENT FOR REMOTE POSITIONS:
For remote positions, all candidates must complete a video screen with our corporate recruiting team.
Responsibilities:

POSITION SUMMARY:<div> 
In this fully remote role you will support scalable data operations through the development of ETL processes, SQL-based integrations, Power Platform solutions, Azure services, and Power BI reporting capabilities. The ideal candidate combines strong technical engineering expertise with operational problem-solving skills to support complex business processes, data integrity, reporting accuracy, and automation reliability. This role requires hands-on experience with Azure Data Factory, Logic Apps, Power BI, SQL development, Power Platform administration, and Microsoft Fabric, along with the ability to troubleshoot and optimize end-to-end data workflows in a fast-paced enterprise environment.</div> 
WHAT YOU WILL BE DOING: 
<div></div><ul><li>
Design, build, maintain, monitor, and troubleshoot data-processing automations, including data preparation, publishing, transformations, error handling, retry mechanisms, and conditional workflows.</li><li>
Develop and maintain data ingestion pipelines from external sources into SQL databases. Manage datasets, linked services, copy activities, and pipeline scheduling.</li><li>
Create and support automated flows to trigger Logic Apps and handle lightweight processes such as report refreshes, dataflow updates, notifications, and approval workflows.</li><li>
Develop, enhance, and maintain canvas apps and standalone internal applications to support business needs.</li><li>
Perform full-stack BI development, including data modeling, DAX development, Power Query (M), semantic models, row-level security (RLS), workspace management, and report publishing. Leverage Microsoft Fabric as the unified access platform for portal activities.</li><li>
Manage and administer Azure resources including Logic Apps, Data Factory, storage accounts, monitoring solutions, RBAC, Application Insights, and Log Analytics. Ensure alignment with S360 security and compliance requirements.</li><li>
Design and maintain standardized Excel templates, support Excel-to-database ingestion workflows, and validate raw source data.</li><li><div>
Troubleshoot and resolve issues across complex ETL processes and data pipelines.</div></li><li><div>
Monitor and manage alerting for failures in Logic Apps, ADF pipelines, Power Automate flows, and Power BI refreshes.</div></li><li><div>
Govern Power Platform environments, including environment management, licensing, and compliance.</div></li><li><div>
Implement and maintain security controls (Azure RBAC, Microsoft Entra ID, S360 alignment, Power BI RLS).</div></li><li><div>
Manage change control, versioning, and documentation for automations, SQL artifacts, and reporting assets.</div></li><li><div>
Optimize performance and scalability across data pipelines and reporting solutions as volumes grow.</div></li><li><div>
Conduct root-cause analysis to reconcile discrepancies between Excel, database systems, and reporting outputs.</div></li><li><div>
Collaborate with vendors and development teams to quickly identify and resolve technical issues.</div></li><li><div>
Read, modify, and extend existing hard-coded queries and publishing logic as needed.</div></li><li><div>
Perform basic scripting for bulk operations, diagnostics, or automation support.</div></li><li>
Perform additional duties as assigned.</li></ul>
Qualifications:

MINIMUM QUALIFICATIONS:<ul><li>
5+ years of experience in data engineering, BI development, automation engineering, or related technical roles.</li><li>
Strong hands-on experience with Azure Data Factory (ADF), including pipeline development, datasets, linked services, scheduling, monitoring, and troubleshooting.</li><li>
Experience developing and maintaining Logic Apps and Power Automate workflows for operational automation and integrations.</li><li>
Advanced SQL development skills including query optimization, stored procedures, ETL development, and troubleshooting complex data transformations.</li><li>
Strong experience with Power BI development including:<ul><li>
Data modeling</li><li>
DAX</li><li>
Power Query (M)</li><li>
Semantic models</li><li>
Row-Level Security (RLS)</li><li>
Workspace administration and publishing</li></ul></li><li>
Experience with Microsoft Fabric and enterprise BI/reporting platforms.</li><li>
Experience administering Azure resources including RBAC, Application Insights, Log Analytics, Storage Accounts, and monitoring solutions.</li><li>
Experience supporting Excel-to-database ingestion processes and validating source data integrity.</li><li>
Ability to troubleshoot and resolve issues across ETL pipelines, reporting systems, and automation workflows.</li><li>
Experience implementing security and governance controls across Azure and Power Platform environments.</li><li><div>
Strong analytical and problem-solving skills, particularly in reconciling data across multiple systems.</div></li><li><div>
Ability to maintain thorough documentation, including runbooks and process workflows.</div></li><li><div>
Attention to detail and a proactive approach to monitoring, troubleshooting, and continuous improvement.</div></li><li><div>
Occasional infrequent in person activity may be required</div></li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience supporting enterprise Microsoft environments</li><li>
Experience with Microsoft Entra ID and Azure RBAC</li><li>
Experience with monitoring platforms including Application Insights and Log Analytics</li><li>
Familiarity with S360 compliance requirements</li><li>
Experience with scripting and automation for operational support</li></ul>
WHAT WE HAVE TO OFFER:
Because we know how important our people are to the success of our clients, it&rsquo;s a priority to make sure we stay committed to our employees and making Beyondsoft a great place to work. We take pride in offering competitive compensation and benefits along with a company culture that embodies continuous learning, growth, and training with a dedicated focus on employee satisfaction and work/life balance.<ul><li>
A competitive pay range of $125,000 - $150,000 (depending on experience).</li><li>
15 days per year of Paid Time Off (PTO).</li><li>
8 paid holidays + 1 personal floating holiday</li><li>
401(k) retirement plan with company match.</li><li>
Eligible employees (and their families) are offered the following company-sponsored benefits: Medical, dental, and vision insurance, health savings account (HSA), short-term and long-term disability, employee assistance plan (EAP), and basic life and AD&amp;D insurance.</li><li>
Eligible employees (and their families) are offered the following voluntary employee-funded benefits: Health care flexible spending account, dependent care flexible spending account, commuter benefits, voluntary accident &amp; critical injury coverage, voluntary long-term care coverage, and voluntary life and AD&amp;D insurance.</li></ul> 
Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.</div>

Data Engineer

Confiz

<div>We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where it's needed.
Responsibilities:
<ul><li>Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations.</li>
<li>Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards.</li>
<li>Continuously enhance automated tests as new features are developed, ensuring Participate in data reconciliation and verify Data Quality frameworks to maintain data accuracy, completeness, and consistency across the platform.</li>
<li>Formulate and maintain test strategies&mdash;including smoke, performance, functional, and regression testing&mdash;to ensure data processing and ETL jobs meet requirements.</li>
<li>Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity.</li>
<li>Share knowledge and best practices by collaborating with business analysts and technology teams to document testing processes and findings.</li>
<li>Communicate testing progress effectively with stakeholders, highlighting issues or blockers, and ensuring alignment with business objectives.</li>
<li>Maintain a comprehensive understanding of the Azure Data Lake platform's data landscape to ensure thorough testing coverage.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in computer science or related discipline</li>
<li>3-6 years of hands-on experience in Data Engineering particularly in Data Lake environments on Azure's cloud platform.</li>
<li>Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.</li>
<li>Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.</li>
<li>Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.</li>
<li>Hands-on experience with Functional &amp; system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.</li>
<li>Knowledge and ability to design and execute test cases in a behaviour-driven development environment.</li>
<li>Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.</li>
<li>Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.</li>
<li>Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.</li>
<li>Identify and resolve issues in complex Big Data environments, ensuring data accuracy and system efficiency.</li>
<li>Initiate and manage tasks, delivering high-quality results within deadlines in a dynamic setting.</li>
<li>Confidently challenge existing assumptions and processes to enhance data engineering and QA practices.</li>
<li>Maintain organized testing schedules and documentation, ensuring thorough coverage of all scenarios.</li>
<li>Exhibit strong interpersonal skills, working effectively in cross-functional, multicultural teams with minimal supervision.</li>
<li>Comfortable in Agile and Scrum environments, proficient with tools like Jira, and adaptable to changing priorities.</li>
<li>Manage multiple projects simultaneously, demonstrating strong planning and organizational skills to ensure timely task completion.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Data Engineer in Test

Coca-Cola HBC

<div>
 
 
 Department:
 
 Digital Factory, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Azure Data Developer
 
 with
 
 significant technical skills in Azure and business acumen
 
 to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate &amp; transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting in CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
 
 
 &bull; Implement data ingestion processes from various data sources into Azure data storage solutions.
 
 
 &bull; Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)
 
 
 &bull; Ensure data integrity and availability by implementing appropriate storage solutions
 
 
 &bull; Integrate data from various sources, ensuring accuracy, completeness, and consistency
 
 
 &bull; Collaborate with data scientists and analysts to understand data requirements and provide necessary support
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's or Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 5+ years of practical experience in a tech-domain)
 
 
 &bull; Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)
 
 
 &bull; Proven track record of implementing proof-of-concept (POC) backend solutions
 
 
 &bull; Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure &ndash; with a focus on data warehousing &amp; backend development
 
 
 &bull; Strong programming skills in languages such as C#, .NET, Python, Scala or Java
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
 
 
 &bull; Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus
 
 
 &bull; First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus
 
 
 &bull; Strong analytical &amp; problem-solving abilities, as well as good communication skills
 
 
 &bull; Strong willingness to learn and adapt to new technologies and tools
 
 
 &bull; Good proficiency in English as a day-to-day business language is a must.
 
 
 
 
 
 
 Preferred qualifications:
 
 
 
 &bull; Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation
 
 
 &bull; Strong understanding of DevOps principles and experience with CI/CD pipelines
 
 
 &bull; Working experience within the SAFE Agile framework is appreciated
 
 
 &bull; Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Azure Data Developer

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