azure data engineer

VWorker Solutions India Pvt Ltd

Profile: Senior Azure Data EngineerSkills: Azure,Django and python and Building ETL pipelines Azure Fabric ,Snowflake ,AIExperience: 7+ YearsWorking Hours: 3&ndash;4 hours per day (Between 7 PM IST to 1 AM IST) or (6 AM IST To 11 AM IST)Working Days: Monday To FridayLocation: RemoteJob SummaryWe are seeking an experienced Azure Data Engineer with strong expertise in Python, Django, Azure Fabric, Snowflake, ETL Pipelines, and AI-driven data solutions. The ideal candidate will design, develop, and optimize scalable data platforms, build robust ETL/ELT pipelines, integrate enterprise data sources, and leverage AI technologies to deliver intelligent analytics and automation solutions.Key Responsibilities<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines.</li><li>Build and optimize data solutions using Microsoft Fabric and Azure services.</li><li>Develop backend applications and APIs using Python and Django.</li><li>Design and manage enterprise data warehouses using Snowflake.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Develop AI-powered data workflows utilizing Azure AI services and Machine Learning.</li><li>Create data transformation processes ensuring high data quality and governance.</li><li>Optimize pipeline performance, scalability, and cost efficiency.</li><li>Implement CI/CD pipelines for data engineering solutions.</li><li>Monitor data pipelines, troubleshoot failures, and ensure high availability.</li><li>Collaborate with Data Scientists, BI Developers, and business stakeholders.</li><li>Implement security, compliance, and governance best practices.</li><li>Prepare technical documentation and deployment guides.</li></ul>Required SkillsCloud &amp; Data EngineeringMicrosoft AzureMicrosoft FabricAzure Data Factory (ADF)Azure Synapse AnalyticsAzure Data Lake Storage (ADLS)Azure FunctionsAzure DevOpsProgrammingPythonDjango FrameworkREST APIsSQLPySparkData WarehousingSnowflakeData ModelingPerformance OptimizationETL &amp; IntegrationETL/ELT Pipeline DevelopmentData MigrationData TransformationWorkflow AutomationPipeline MonitoringAI &amp; AnalyticsAzure AI ServicesAzure Machine LearningGenerative AI IntegrationAI-assisted Data ProcessingLLM API Integration (Preferred)DatabasesSQL ServerPostgreSQLSnowflakeCosmos DB (Preferred)DevOpsGitAzure DevOpsCI/CD PipelinesDockerKubernetes (Preferred)Required Qualifications<ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</li><li>5+ years of experience in Data Engineering.</li><li>Strong hands-on experience with Azure cloud services.</li><li>Experience designing enterprise-scale ETL/ELT solutions.</li><li>Expertise in Snowflake Data Warehouse.</li><li>Strong Python and Django development experience.</li><li>Experience with Microsoft Fabric implementation.</li><li>Good understanding of AI/ML integration in data platforms.</li><li>Strong SQL and database optimization skills.</li><li>Excellent problem-solving and analytical abilities.</li></ul>Pay: From ₹30,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Experience:<ul><li>Azure: 6 years (Required)</li><li>Azure Fabric: 4 years (Required)</li><li>Snowflake: 4 years (Required)</li><li>AI: 3 years (Required)</li><li>Python: 4 years (Required)</li></ul>Work Location: Remote

Azure Data Engineer

ilionx

<div>
 
 Geen dashboards bouwen om het bouwen, maar data die &eacute;cht iets in beweging zet. Bij ilionx Zwolle zoeken we een Azure Data Engineer die verder denkt dan pipelines en impact wil maken!
 
 
 
 
 
 
 jouw functie als Azure Data Engineer
 
 
 
 Als Azure Data Engineer bij ilionx te Zwolle werk je aan het ontwerpen en bouwen van schaalbare, robuuste dataoplossingen in de Azure cloud. Je transformeert ruwe data naar waardevolle inzichten met moderne technologie&euml;n als Databricks, Microsoft Fabric en Snowflake. Daarbij ontwikkel je data pipelines met tools als PySpark, Python, DBT, SQL en Matillion en werk je aan het realiseren van data lakehouses en dataplatformen. Ook onderzoek je hoe innovatieve technologie&euml;n zoals generatieve AI van waarde kunnen zijn binnen onze data engineeringpraktijk.
 
 
 
 
 
 Je draagt bij aan uiteenlopende projecten: van het migreren van on premise omgevingen naar Azure tot het ontsluiten van bronsystemen in de zorg of het inrichten van AI-ready dataplatformen. Onze klanten bevinden zich onder andere in sectoren als zorg, overheid, finance, energie en onderwijs. Je werkt zelfstandig of in teamverband, afhankelijk van het project, en hebt veel invloed op de technische keuzes en de richting van je werk.
 
 
 
 
 
 Naast klantopdrachten krijg je ook de kans om bij te dragen aan onze interne proposities, zoals het ilionx Dataplatform of ZorgControl. Binnen deze trajecten experimenteren we met nieuwe technieken en best practices, gericht op toekomstbestendige dataoplossingen.
 
 
 
 
 
 Binnen ilionx bepaal je zelf hoe je je ontwikkelt: wil je je verdiepen in de keiharde techniek of doorgroeien richting architectuur? Of geef je liever je kennis door als interne trainer? Ook specialiseren in specifieke richtingen zoals Dataplatforms, Data Science of AI behoort tot de mogelijkheden. Jij kiest het pad, wij faciliteren het.
 
 
 
 
 
 
 wat bieden wij jou:
 
 
 <ul>
 <li>
 Een salarisrange tussen de &euro;3.500,- en &euro;6.500,- op 40 uur met bonus!
 </li>
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 Een uitgebreide leaseregeling voor zowel auto als fiets
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 Een gevarieerd werkveld: extern, intern of een mix
 </li>
 <li>
 Een flexibele werkomgeving en wij omarmen het hybride werken
 </li>
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 Een flinke focus op de AI transitie, daar zijn wij volop mee bezig
 </li>
 </ul>
 
 
 
 
 
 wat vragen wij van jou:
 
 
 <ul>
 <li>
 Een afgeronde HBO/WO diploma
 </li>
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 Minimaal 3 jaar relevante werkervaring
 </li>
 <li>
 Je ziet de kansen van AI en denkt vooruit
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 Kennis van en ervaring met: Python en Spark
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 Kennis van: Databricks, Fabric, Snowflake, Synapse
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 Kennis van dimensionaal datamodelleren en logical modelling
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 Kennis van de data architecture concepten Medallion en Mesh
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 Beheersing van de Nederlandse taal vloeiend in woord en geschrift
 </li>
 </ul>
 
 
 
 
 
 het team
 
 
 
 Het multidisciplinaire team in Zwolle kent een hechte en open sfeer met veel vrijheid! Binnen het team combineren we verschillende expertises zoals data engineering, platform engineering, data analytics en specifiek front-end. Er is een goede balans tussen junior, medior en senior collega's, wat zorgt voor een omgeving waar je kunt leren en jezelf kunt blijven ontwikkelen.
 
 
 
 
 
 We werken veel samen op kantoor in Zwolle, wat zorgt voor korte lijnen en een sterke teamdynamiek. Onze cultuur is no-nonsense en gericht op samenwerking! Initiatief wordt gewaardeerd, en successen vieren we samen. Tussen het werk door spelen we fanatieke FIFA potjes op de PS5, doen we aan tafelvoetbal of zoeken we elkaar op voor een padelwedstrijd. Zo bouwen we niet alleen aan data oplossingen, maar ook aan een team dat voor elkaar klaarstaat.
 
 
 
 
 
 Zoek jij een nieuwe plek voor de komende jaren en wil je impact maken binnen een team dat samen wil winnen? Dan kun je als dataspecialist perfect je plek vinden binnen ons Data &amp; AI team te Zwolle!
 
 
 
 
 
 
 landelijke dekking
 
 
 
 Met ruim 10+ kantoren zijn wij landelijk vertegenwoordigd en op die manier kunnen wij regionaal vanuit verschillende vestigingen &eacute;cht het verschil maken. Sluit jij je aan bij &eacute;&eacute;n van onze ilionx datateams in jouw regio?
 
 
 
 
 
 
 Lees hier
 
 praktijkervaringen van jouw toekomstige ilionx data collega&rsquo;s.
 
</div>

Fractal Analytics

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Role- Azure Data Engineer
Locations- Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, Bangalore
Experience- 6-9years
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Responsibilities: 
1. Designing, developing, and maintaining data infrastructure and systems. 
2. Design, develop, and maintain our data infrastructure and systems 
3. Develop and maintain data pipelines to ingest data, ensure data quality and integrity 
4. Design and implement data models and database schemas to support business objectives 
5. Develop and maintain data pipelines to support data processing and analysis 
6. Partner with cross-functional teams to identify and prioritize data requirements and use cases 
7. Manage and optimize distributed systems and data storage solutions 
8. Develop and maintain best practices and standards for data engineering within the organization
Mandatory:
Azure, ADF, ADLS2, Databricks, Python, PySpark, DevOps, P&amp;G frameworks like AI factory, Ultimate, Pygentic
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

Senior Azure Data Engineer

Telecommunications Development Corp

Full-Stack Azure Data EngineerRole Purpose:Develop, deploy, and maintain high-performance, cloud-native data pipelines.Key Responsibilities:<ul><li>Build and scale ETL/ELT pipelines using Azure Databricks notebooks and Synapse scripts.</li><li>Implement standardized logging, error handling, and restartable processing patterns to ensure pipeline reliability.</li><li>Configure integrations with Azure Data Lake Storage, source systems, and enterprise data platforms.</li><li>Architect and maintain CI/CD pipelines and code repositories to automate environment promotion and release management.</li></ul>Requirements:Strong proficiency in Python/SQL, proven expertise in Azure Databricks and Synapse development, and deep experience with automated deployment strategies like Azure DevOps.Job Type: Full-timeWork Location: In person

Full-Stack Azure Data Engineer

HCLTech

Chennai, Tamil Nadu
 Job Summary
 The Senior Developer will be responsible for developing and maintaining solutions using Azure Data Factory (ADF), Azure Databricks, SQL, and Python. The primary objectives includes building and optimizing data pipelines for efficient data processing and analysis.
 Key Responsibilities
 1. Develop and implement end-to-end data pipelines using azure data factory (adf) and azure databricks to extract, transform, and load data.
 2. Write complex sql queries to retrieve and manipulate data from databases.
 3. Utilize python for scripting and automation tasks related to data processing and analysis.
 4. Collaborate with data engineers and analysts to understand data requirements and deliver appropriate solutions.
 5. Monitor and optimize data workflows to ensure high performance and scalability.
 6. Troubleshoot and resolve issues related to data pipelines and data quality.
 Skill Requirements
 1. Strong understanding of azure data factory (adf) for building and managing data pipelines.
 2. Experience with azure databricks for big data processing and analytics.
 3. Strong sql skills for querying and manipulating data in relational databases.
 4. Solid knowledge of python programming language for data manipulation and automation.
 5. Understanding of data integration concepts and etl processes.
 6. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
 Other Requirements
 1.Azure Data Engineer Associate or Microsoft Certified1.Azure Data & AI Associate certification is a plus.
 #body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

Azure Senior Data Engineer

Rabobank

<div>
 
 This Is What We Offer You
 
 
 
 <ul>
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 Salary: Gross monthly salary between EUR 3,516 and EUR 5,021 (scale 07) for a 36-hour work week.
 </li>
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 Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
 </li>
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 Development budget: EUR 1,400 development budget per year for your growth and development.
 </li>
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 Hybrid working: a balance between home and office work (possible for most roles).
 </li>
 <li>
 Pension: decide for yourself the amount of your personal contribution.
 
 
 </li>
 </ul>
 Or view all our benefits.
 
 
 Join Rabobank as a junior Azure Data Engineer at the Information Factory Payments &amp; Savings (IFP) and help us transform payments and savings data into valuable insights. IFP is a key data warehouse that processes vast amounts of payments and savings data daily, transforming it into valuable information products. We support business partners with insights and overviews of their products and processes, and handle external reporting to regulators and other organizations.
 
 
 
 You and your job
 
 
 
 <ul>
 <li>
 Assist in developing and implementing new functionalities in the Information Factory Payments &amp; Savings
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 Contribute to ETL processes to fetch and model data, integrate it into our data warehouse, and prepare it for reporting or usable data products
 </li>
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 Collaborate with experienced engineers and other teams to deliver data solutions according to our standards
 
 
 </li>
 </ul>
 
 Practical examples
 
 
 
 <ul>
 <li>
 Dashboards for product managers to assist them in product development and tapping into new markets
 </li>
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 Report functionality and operational datasets used in our daily banking to serve our customers
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 Regulatory reporting to the Dutch National Bank and the Dutch tax authority
 
 
 </li>
 </ul>
 As a Junior Azure Data Engineer, you will mainly work on the back-end side and learn how to transform raw data into usable information. You will receive guidance from experienced colleagues and gradually build your knowledge.
 
 
 
 Facts &amp; Figures
 
 
 
 <ul>
 <li>
 40 hours per week
 </li>
 <li>
 Join our team and work with over 350 database tables containing more than 40 terabytes of data
 </li>
 <li>
 43,822 Rabobank colleagues around the world
 
 
 </li>
 </ul>
 
 Top 3 Responsibilities
 
 
 
 <ul>
 <li>
 Support in developing and implementing new functionalities
 </li>
 <li>
 Contribute to ETL processes and data integration into the data warehouse
 </li>
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 Learn about data governance, security, and performance optimization
 
 
 </li>
 </ul>
 You will work Agile Scrum based, in a squad together with Business Analists, fellow Data DevOps engineers and a Product Owner. You will learn and stay updated with the latest industry trends and technologies to enhance data engineering practices.
 
 
 
 You and your talent
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in IT, data, or a related field
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 0-2 years of experience in data engineering or a similar role (internship experience is welcome)
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 Eager to learn, proactive, and motivated to develop yourself
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 Knowledge of and experience with Databricks, Azure and cloud technologies
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 Experience with PowerBI is a plus
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 Basic knowledge of and/or experience with SQL, DBT and Python
 </li>
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 Knowledge and experience with ETL and data modelling, preferably dimensional modelling, is a big plus
 </li>
 <li>
 Excellent analytical and problem-solving skills
 
 
 </li>
 </ul>
 If you do not meet all the requirements but firmly believe that you can make a valuable contribution, do not hesitate to send us your motivation
 
 
 
 Together we achieve
 
 
 
 We believe in the power of difference. Bringing together people's differences is what makes us an even better bank. So we are very curious about what you can bring to our team at IFP.
 
 
 
 &lsquo;Being part of our team means helping Rabobank unlock the full potential of their Payments and Savings data. Collaborating actively with your business stakeholders and team members within a dynamic, social and warm environment. Your skills as a Data Engineer are indispensable to me!&rsquo;
 
 
 
 Armando Bocken, Business Analyst
 
 
 Working together is the way we work; as 1 data-minded team at Rabobank. Speaking of Rabobank: we are a Dutch bank that operates in 38 countries for over 9,500,000 customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands, we work to create a country in which people are happy with how they live, work and do business.
 
 
 
 Your development as a young professional
 
 
 
 Within this programme, you will have the opportunity to get to know yourself, the field of data engineering and Rabobank. The programme lasts 18 months. You will start in a junior position within one team, take part in workshops and training modules with other young professionals and quickly gain practical experience.
 
 
 Together with others, there is room for creativity and initiative to organise events, training sessions and knowledge-sharing sessions. This helps us improve the programme and ourselves. You will also build a valuable network within Rabobank.
 
 
 The programme itself starts on 1 October. For this role, we would like you to start on 1 September, so you have time to land in the team before the programme begins.
 
 
 
 Learning From Each Other
 
 
 
 Development is our top priority. Because the best way to learn is by doing, through mistakes and successes. At Rabobank, we offer you the right balance between freedom and guidance. This helps you develop talents you may not yet know you have. During your Early Career Programme, you can count on support from experienced colleagues, your team and other young professionals.
 
 
 
 You and the job application process
 
 
 
 At Rabobank, we believe our differences make us stronger. By bringing together people with different perspectives and backgrounds, we become a better bank. We would love to hear what you can bring to our team.
 
 
 <ul>
 <li>
 Any questions about working at Rabobank or about the process? Please contact Maaike van den Bosch, Corporate Recruiter, via Maaike.van.den.bosch@Rabobank.nl.
 </li>
 <li>
 A technical assessment and/or personality assessment may be part of the selection process.
 </li>
 <li>
 Interviews will take place via Microsoft Teams or at our office in Utrecht.
 </li>
 <li>
 Please make sure to upload your resume and cover letter, in that way we can take your application into consideration.
 </li>
 <li>
 A security check is part of the process.
 </li>
 <li>
 We respect your privacy.
 </li>
 </ul>
</div>

Junior Azure Data Engineer – Information Factory Payments / Cluster Data Tribe Payments & Savings (Early career program)

mund consulting AG

<div></div><div><div><div>Azure SQL ETL Data Modeling Data Analytics Databricks CI/CD Machine Learning Azure Certifications
</div></div><div></div><div><div><div>Data Engineer (Databricks, Azure, SQL) (m/w/d) 
 
 
</div><div>F&uuml;r ein Projekt im Energieversorgung / Utilities suchen wir einen Data Engineer (m/w/d) mit Erfahrung in Databricks, Azure und SQL. 
 
 
</div><div>Projektinformationen 
 
 
</div><ul><li>Ort: Basel / ggf. 2-3 Tage remote</li>
<li>Start: August 2026</li>
<li>Laufzeit: Nach Vereinbarung</li>
<li>Branche: Energieversorgung / Utilities</li>
</ul><div>Aufgaben 
 
 
</div><div>Entwicklung und Betrieb moderner Datenplattformen mit Databricks, Azure und SQL, Aufbau und Optimierung von Datenpipelines, Integration verschiedener Datenquellen, Sicherstellung von Datenqualit&auml;t und Datenverf&uuml;gbarkeit, Zusammenarbeit mit Data Scientists und Fachbereichen. 
 
 
</div><div>Muss-Anforderungen 
 
 
</div><ul><li>Mehrj&auml;hrige Erfahrung als Data Engineer</li>
<li>Sehr gute Kenntnisse in SQL</li>
<li>Erfahrung mit Azure Data Services</li>
<li>Erfahrung mit Databricks</li>
<li>Kentnisse moderner ETL-/ELT-Prozesse</li>
<li>Erfahrung mit Datenmodellierung</li>
<li>Agile Projekterfahrung</li>
<li>Sehr gute Deutschkenntnisse</li>
</ul><div>Soll-Anforderungen 
 
 
</div><ul><li>Erfahrung im Bereich Data Analytics</li>
<li>Kenntnisse im Bereich Machine Learning</li>
<li>Erfahrung mit CI/CD</li>
<li>Erfahrung im Energie- oder Versorgungsumfeld</li>
<li>Azure-Zertifizierungen</li>
</ul><div>Technologien &amp; Methoden 
 
 
</div><div>Databricks, Microsoft Azure, SQL, Data Engineering, ETL, ELT, Data Analytics, Data Lake, Data Warehouse, CI/CD, Agile Methoden 
 
 
</div><div>Das Team von mund consulting freut sich auf Ihre Bewerbung mit CV &amp; Stundensatz und unterst&uuml;tzt gerne im weiteren Prozess. 
 
 
</div><div>Herzliche Gr&uuml;&szlig;e
 
Das Recruiting Team
 
post@mund-consulting.de
</div></div></div><div><div>Bearbeitet 15.06.26</div></div></div>

Data Engineer (Databricks, Azure, SQL) (m/w/d) ID37637B

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Junior Azure Data Engineer – Information Factory Payments / Cluster Data Tribe Payments & Savings (Early career program)

Data Engineer (Databricks, Azure, SQL) (m/w/d) ID37637B