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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 postingCreate and maintain data pipelines that move and transform data
Monitor and optimize data pipelines for performance and reliability
Translate cross-functional data requirements into technical solutions
Troubleshoot and resolve data-related issues
Document data processes and workflows
From the employer’s posting
Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes
Monitor and optimize data pipelines to improve performance and reliability.
Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical solutions.
Ability to troubleshoot and resolve data-related issues efficiently.
Document data processes and workflows to maintain transparency and facilitate knowledge sharing.
What you’ll bring
All qualificationsCore experience
- At least 3 years of experience with Databricks Unified Data Analytics Platform
- Experience building and managing scalable data pipelines and workflows
- Strong knowledge of data integration techniques and ETL processes
- Familiarity with cloud-based data storage and processing solutions
- Understanding of data governance and data quality best practices
Qualification wording
The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
Experience in building and managing scalable data pipelines and workflows.
Strong knowledge of data integration techniques and ETL processes.
Familiarity with cloud-based data storage and processing solutions.
Understanding of data governance and data quality best practices.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Accenture is hiring
202 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down quickly
- 11% of open jobs were reposted
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.
- Databricks
Where the posting names them
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring that data solutions align with organizational goals and support business intelligence needs.
Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical solutions. - Monitor and optimize data pipelines to improve performance and reliability. - Document data processes and workflows to maintain transparency and facilitate knowledge sharing. - Assist junior team members by providing guidance and support in their tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience in building and managing scalable data pipelines and workflows. - Strong knowledge of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Ability to troubleshoot and resolve data-related issues efficiently. - Understanding of data governance and data quality best practices. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience in building and managing scalable data pipelines and workflows. - Strong knowledge of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Ability to troubleshoot and resolve data-related issues efficiently. - Understanding of data governance and data quality best practices. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education
Your next step
Complete your application on accenture.wd103.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
Has Accenture posted this job before?
Yes. We’ve followed 24 other Data Engineer jobs there since October 2026. 14 came down, usually after about 1 day. 10 are still up.
If this one keeps the same pace, it may come down around November 4.
Large employers often post one title for several teams, so these can be separate openings.
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
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring that data solutions align with organizational goals and support business intelligence needs.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical solutions.
- Monitor and optimize data pipelines to improve performance and reliability.
- Document data processes and workflows to maintain transparency and facilitate knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and managing scalable data pipelines and workflows.
- Strong knowledge of data integration techniques and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Understanding of data governance and data quality best practices.
Additional Information:
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring that data solutions align with organizational goals and support business intelligence needs.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical solutions.
- Monitor and optimize data pipelines to improve performance and reliability.
- Document data processes and workflows to maintain transparency and facilitate knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and managing scalable data pipelines and workflows.
- Strong knowledge of data integration techniques and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Understanding of data governance and data quality best practices.
Additional Information:
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Source details
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- Location & working pattern
Bengaluru
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