Back to jobs

Azure Data Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

We are seeking an experienced Azure Data Engineer to support Procurement modernization initiatives that enable secure and reliable data exchange across multiple Procurement applications.

  • Design, develop and maintain scalable data pipelines and ETL processes on Azure

  • Build data integration solutions using Azure Data Factory, Data Lake, Azure SQL, Functions and Terraform

  • Develop data models that support integration and reporting across Procurement applications

  • Troubleshoot pipeline issues and help resolve production incidents

  • Implement data security and compliance controls and maintain technical documentation

From the employer’s posting
We are seeking an experienced Azure Data Engineer to support Procurement modernization initiatives that enable secure and reliable data exchange across multiple Procurement applications. The successful candidate will design and develop scalable cloud-based data solutions using Azure Data Factory, Azure Data Lake, Azure Functions, Terraform, SQL, and Python. The role requires strong data engineering and data modeling experience, along with the ability to collaborate effectively with developers, analysts, and business stakeholders.
Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services.
Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform.
Develop robust data models that support integration and reporting requirements across Procurement applications.
Troubleshoot data pipeline issues and support the timely resolution of production incidents.
Implement data security and compliance controls in alignment with organizational standards

What you’ll bring

All qualifications

Core experience

  • 5 to 7 years of relevant technology experience, including at least 5 years of data engineering experience.
  • 5 years of hands-on experience with Azure Data Factory.
  • 5 years of experience in data engineering and data modeling.
  • 5 years of hands-on experience with Terraform.
  • 5 years of strong SQL experience.
  • 3 years of experience with Azure Functions.

Preferred experience

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Experience with Azure Databricks.
  • Familiarity with CI/CD and automated deployment practices.
  • Experience supporting cloud-based data platforms in an enterprise environment.
Qualification wording
5 to 7 years of relevant technology experience, including at least 5 years of data engineering experience.
5 years of hands-on experience with Azure Data Factory.
5 years of experience in data engineering and data modeling.
5 years of hands-on experience with Terraform.
5 years of strong SQL experience.
3 years of experience with Azure Functions.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
Experience with Azure Databricks.
Familiarity with CI/CD and automated deployment practices.
Experience supporting cloud-based data platforms in an enterprise environment.
Education & alternatives
Preferred Qualifications: • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. • Experience with Azure Databricks.

About Northern Trust

Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

In the employer’s words · Read in context

Apply at Northern Trust

Posting record

Report an error

Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 20267 days ago
Recorded sightings
11
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Northern Trust is hiring

21 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Terraform
  • React
Where the posting names them
Role Summary: We are seeking an experienced Azure Data Engineer to support Procurement modernization initiatives that enable secure and reliable data exchange across multiple Procurement applications. The successful candidate will design and develop scalable cloud-based data solutions using Azure Data Factory, Azure Data Lake, Azure Functions, Terraform, SQL, and Python. The role requires strong data engineering and data modeling experience, along with the ability to collaborate effectively with developers, analysts, and business stakeholders. Key Responsibilities:
• 3 years of experience with Azure Functions. • 2 years of Python experience. • Experience working with Azure Data Lake, Azure Storage, and Azure SQL.
• Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services. • Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform. • Develop robust data models that support integration and reporting requirements across Procurement applications.
• 5 years of hands-on experience with Terraform. • 5 years of strong SQL experience. • 3 years of experience with Azure Functions.
• 2 years of Python experience. • Experience working with Azure Data Lake, Azure Storage, and Azure SQL. • Experience designing and supporting scalable ETL and data integration solutions.
Key Responsibilities: • Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services. • Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform.
• 5 to 7 years of relevant technology experience, including at least 5 years of data engineering experience. • 5 years of hands-on experience with Azure Data Factory. • 5 years of experience in data engineering and data modeling.
• 5 years of strong SQL experience. • 3 years of experience with Azure Functions. • 2 years of Python experience.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. • Experience with Azure Databricks. • Working knowledge of React.
• 5 years of experience in data engineering and data modeling. • 5 years of hands-on experience with Terraform. • 5 years of strong SQL experience.
• Experience with Azure Databricks. • Working knowledge of React. • Familiarity with CI/CD and automated deployment practices.

Your next step

Complete your application on ntrs.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Northern Trust


As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.


Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.


With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.



Role Summary:

We are seeking an experienced Azure Data Engineer to support Procurement modernization initiatives that enable secure and reliable data exchange across multiple Procurement applications. The successful candidate will design and develop scalable cloud-based data solutions using Azure Data Factory, Azure Data Lake, Azure Functions, Terraform, SQL, and Python. The role requires strong data engineering and data modeling experience, along with the ability to collaborate effectively with developers, analysts, and business stakeholders.


Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services.

• Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform.

• Develop robust data models that support integration and reporting requirements across Procurement applications.

• Collaborate with developers, analysts, and business stakeholders to understand requirements and translate them into reliable and efficient data solutions.

• Optimize data processing and storage solutions for performance, scalability, reliability, and cost efficiency.

• Implement data security and compliance controls in alignment with organizational standards, industry best practices, and applicable regulatory requirements.

• Troubleshoot data pipeline issues and support the timely resolution of production incidents.

• Develop and maintain technical documentation covering data architecture, integration processes, data models, and engineering standards.

• Contribute to code reviews, testing, deployment, and continuous improvement of engineering practices.


Required Skills:

• 5 to 7 years of relevant technology experience, including at least 5 years of data engineering experience.

• 5 years of hands-on experience with Azure Data Factory.

• 5 years of experience in data engineering and data modeling.

• 5 years of hands-on experience with Terraform.

• 5 years of strong SQL experience.

• 3 years of experience with Azure Functions.

• 2 years of Python experience.

• Experience working with Azure Data Lake, Azure Storage, and Azure SQL.

• Experience designing and supporting scalable ETL and data integration solutions.

• Strong analytical, problem-solving, communication, and collaboration skills.


Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

• Experience with Azure Databricks.

• Working knowledge of React.

• Familiarity with CI/CD and automated deployment practices.

• Experience supporting cloud-based data platforms in an enterprise environment.

• Exposure to Procurement systems or Procurement data integrations.


Working with Us


As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.


Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.


Reasonable Accommodation


Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.


About Our Pune Office


The Northern Trust Pune office, established in 2016, is now home to over 3,000 employees. The office handles various functions, including Operations for Asset Servicing and Wealth Management, as well as delivering critical technology solutions that support business operations across the globe.


Our Pune team takes our commitment to service to heart. In 2024, they volunteered more than 10,000+ hours into the communities where they live and work. Learn more.



Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Pune, India

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.