Data Engineer on Azure Job Description [Updated for 2025]

In today’s data-driven world, the focus on Data Engineers specializing in Azure has become increasingly important.

As data continues to grow in volume, complexity, and diversity, the demand for skilled professionals who can structure, manage, and protect our data infrastructure on Azure becomes more pressing.

But what exactly is expected from a Data Engineer on Azure?

Whether you are:

• A job seeker trying to understand the core of this role,
• A hiring manager outlining the perfect candidate,
• Or simply intrigued by the intricacies of data engineering on Azure,

You’re in the right place.

Today, we present a tailor-made job description template for a Data Engineer on Azure, which can be easily used on job boards or career sites.

Let’s dive right in.

Data Engineer on Azure Duties and Responsibilities

Data Engineers on Azure utilize their technical skills and knowledge of cloud-based data systems to design, construct, install, test and maintain highly scalable data management systems on Microsoft Azure.

Their duties and responsibilities include:

• Design, construct, install, test and maintain highly scalable data management systems on Azure
• Ensure systems meet business requirements and industry practices
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts
• Research opportunities for data acquisition and new uses for existing data
• Develop data set processes for data modeling, mining and production
• Integrate new data management technologies and software engineering tools into existing structures
• Create custom software components and analytics applications
• Install and update disaster recovery procedures
• Recommend ways to improve data reliability, efficiency, and quality
• Collaborate with data architects, modelers and IT team members on project goals
• Perform regular maintenance and updates to existing systems
• Ensure data security protocols are followed in line with company and regulatory standards

 

Data Engineer on Azure Job Description Template

Job Brief

We are seeking a skilled Data Engineer on Azure to join our team.

The Data Engineer will be responsible for the development, construction, testing, and maintenance of architectures such as databases and large-scale processing systems.

The ideal candidate will be experienced in data warehousing solutions, able to analyze and organize raw data, and proficient in Microsoft Azure.

The Data Engineer will work closely with our data scientists to ensure optimal data delivery architecture.

 

Responsibilities

• Develop, construct, test and maintain architectures
• Identify, design, and implement internal process improvements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Keep data separated and secure across national boundaries through multiple data centers and Azure regions
• Create data tools for analytics and data scientist team members
• Work with data and analytics experts to strive for greater functionality in our data systems

 

Qualifications

• Proven experience as a Data Engineer or relevant role
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with data pipeline and workflow management tools
• Experience with Azure cloud services
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• BSc degree in Computer Science, Engineering or relevant field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Continuous learning and professional development opportunities

 

Additional Information

• Job Title: Data Engineer on Azure
• Work Environment: The job requires working in an office setting with the possibility of remote work. Occasional travel might be necessary for team meetings or training.
• Reporting Structure: The Data Engineer on Azure will report to the Data Architect or Director of Data Science.
• Salary: Salary is contingent upon experience and qualifications, as well as market and business factors.
• Pay Range: $100,000 minimum to $180,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter detailing your qualifications and experience to [email address or application portal].

 

What Does a Data Engineer on Azure Do?

Data Engineers on Azure are IT professionals who specialize in designing, building, and maintaining data architecture systems using Microsoft’s Azure cloud service.

They typically work for corporations across industries that leverage Azure for cloud computing needs or within dedicated IT firms.

Data Engineers on Azure are responsible for creating and implementing systems to extract, transform, load (ETL) and maintain data on Azure.

They interact with other data professionals such as Data Scientists and Analysts, to ensure data is available, reliable, and accessible for their needs.

They design and develop data models, data processing workflows and procedures.

This involves constructing data lakes, databases and data warehouses using Azure services, and implementing effective methods for data ingestion and processing.

Data Engineers on Azure also work on optimizing the performance of their data solutions on Azure.

They monitor data usage, troubleshoot issues, and ensure data privacy and security using Azure’s security tools.

Their job is to align the data solutions they create with their organization’s business goals, providing the most effective data infrastructure for decision-making purposes.

In addition to these tasks, they might also be required to refine previous designs to correct defects, improve performance, or adapt to changing business needs.

 

Data Engineer on Azure Qualifications and Skills

A proficient Data Engineer on Azure should have the skills and qualifications that align with your job description, such as:

• Strong understanding of Azure Data Services and platforms, and the ability to efficiently use these tools to store, process and analyze data.
• Excellent analytical skills to interpret complex data and turn it into information which can offer ways to improve a business, thus affecting business decisions.
• Sound knowledge of database architecture, data warehousing, and data modelling.
• Competence in using programming languages such as Python, SQL or Java, which are often needed for the role.
• Experience with big data tools such as Hadoop, Hive, or Pig, and data streaming tools like Kafka.
• Ability to use Azure Data Factory to orchestrate data movement and transformation.
• Proficiency in machine learning and statistical models to leverage data in business decisions.
• Outstanding problem-solving skills to anticipate and solve issues related to data management and processing.
• Excellent communication skills to effectively collaborate with data scientists, business analysts, and other stakeholders.
• Attention to detail to ensure the validity of the data and the security of sensitive information.

 

Data Engineer on Azure Experience Requirements

Candidates for the role of a Data Engineer on Azure typically must have a minimum of 3 to 5 years of experience in data engineering, data architecture, or in a similar role.

Having hands-on experience working with Azure cloud services, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics or Azure Data Lake, is highly desired.

For entry-level positions, candidates may be considered with less experience if they have completed relevant internships or academic projects that demonstrate their proficiency in data engineering concepts and Azure services.

Data Engineers on Azure should also have experience with SQL queries, Python or R scripting languages, and familiarity with big data tools like Hadoop, Spark or Kafka.

Experience in building and optimizing data pipelines, architectures and data sets, and performing routine maintenance is also necessary.

Candidates with more than 5 years of experience may have some leadership experience, and should have a demonstrated ability to manage, structure, and clean large sets of data, as well as implementing data strategies and developing scripts for automated data processing.

Certification as an Azure Data Engineer Associate or Azure Solution Architect Expert can be an added advantage and a proof of the candidate’s expertise.

 

Data Engineer on Azure Education and Training Requirements

Data Engineers on Azure typically have a bachelor’s degree in computer science, data science, information systems, or another related field.

They require a solid understanding of database systems, data modeling, and strong programming skills, particularly in languages like Python, Java, or SQL.

Knowledge of Microsoft Azure, its data storage and data processing capabilities is crucial for this role.

Familiarity with Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics is typically needed.

Many positions may require a master’s degree in computer science or a related field, often with a focus on data-centric subjects.

This is especially true for roles that involve complex data manipulation and analysis or the creation and maintenance of large-scale data infrastructures.

Obtaining Microsoft Certified: Azure Data Engineer Associate certification is highly recommended as it validates the skills and knowledge in designing and implementing data solutions that use Azure data services.

This includes responsibility for tasks such as data-related implementation tasks, preparing data for analytical or operational uses, and transforming, staging, and loading data.

Continuous learning is key in this role, as Azure continuously evolves and adds new features and services.

Therefore, participation in advanced courses and training programs to stay updated is often encouraged.

Work experience in data management and specifically in Azure is also typically required, with more senior positions requiring several years of experience.

 

Data Engineer on Azure Salary Expectations

A Data Engineer working on Azure can expect to earn an average salary of $115,000 (USD) per year.

However, the actual income can vary greatly depending on factors such as the level of experience, specific skill set in Azure services, education, and the geographical location of the job.

High-demand areas and large tech companies may offer higher compensation packages.

 

Data Engineer on Azure Job Description FAQs

What skills does a Data Engineer on Azure need?

Data Engineers on Azure should possess strong technical skills in data warehousing, data modeling, and data processing.

They should be proficient in Azure data services such as Azure Data Factory, Azure Data Lake, and Azure SQL Database.

They should also have programming skills, particularly in languages like SQL and Python.

Apart from this, problem-solving skills and the ability to work in a team are also essential.

 

Do Data Engineers on Azure need a degree?

Typically, a Data Engineer on Azure would need a degree in Computer Science, IT, or a related field.

In addition to this, certifications related to Azure, like the Microsoft Certified: Azure Data Engineer Associate, can prove to be very beneficial and are often preferred by employers.

 

What should you look for in a Data Engineer on Azure’s resume?

Look for experience with Azure data services and tools as well as proficiency in languages like SQL and Python.

A strong background in data warehousing and data architecture is a must.

In addition, look for any certifications related to Azure.

Prior experience in similar roles or industries can also be advantageous.

 

What qualities make a good Data Engineer on Azure?

A good Data Engineer on Azure should be a problem-solver with a strong analytical mindset.

They should be detail-oriented and able to work with large amounts of data without losing accuracy.

Good communication skills are also essential as they will often need to explain complex data concepts to non-technical team members.

 

Is it difficult to hire Data Engineers on Azure?

Hiring Data Engineers on Azure can be challenging due to the specific skill set required.

The role requires knowledge of Azure as well as data engineering principles, which may not be common among all candidates.

Furthermore, due to the growing importance of data in businesses today, there is high demand for skilled data engineers making the hiring process competitive.

 

Conclusion

And there we have it!

Today, we’ve taken a closer look at the dynamic world of a Data Engineer on Azure.

And guess what?

It’s not just about data manipulation.

It’s about shaping the data-driven future, one dataset at a time.

Armed with our practical Data Engineer on Azure job description template and real-world instances, you’re ready to dive in.

But don’t stop there!

Go further with our job description generator. It’s your stepping stone to meticulously crafted job listings or perfecting your resume to a tee.

Keep in mind:

Every piece of data contributes to the larger narrative.

Let’s shape that future. Together.

How to Become a Data Engineer on Azure (Complete Guide)

Hot Career Choices: Trending Jobs That Are Worth Your Time

Strangely Serious: Weird Jobs That Are No Joke

Amazing Jobs Alert: Careers That Are Fun and Financially Rewarding

The Rich List: Careers That Offer More Than Just a Big Paycheck!