AWS Data Engineer - VOIS

Pune, MH, IN

Actively hiring, first seen by us 2 days ago

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

We are seeking an experienced AWS Data Engineer to design, build and support scalable cloud-based data solutions that enable data-driven decision making across the business.

Design and maintain ETL and data pipelines using AWS Glue, Spark, Redshift and S3
Build and optimise data warehouse and data lake solutions
Create and maintain data models for reporting, analytics and BI
Investigate and resolve data quality issues with business and technical teams
Automate repetitive tasks and build reusable data processing frameworks

From the employer’s posting

We are seeking an experienced AWS Data Engineer to design, build and support scalable cloud-based data solutions that enable data-driven decision making across the business. This role will focus on developing and maintaining data pipelines, creating data models, supporting data quality initiatives, and delivering innovative solutions using AWS technologies. The successful candidate will collaborate with global stakeholders and contribute to the continuous improvement of modern data platforms and services.

Design, develop and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, Amazon S3 and related AWS services.

Build and optimise data warehousing and data lake solutions to support analytical and operational business requirements.

Create and maintain robust data models that support reporting, analytics and business intelligence needs.

Perform data quality analysis, root cause investigation and resolution in collaboration with business and technical stakeholders.

Automate repetitive activities and create reusable frameworks that improve efficiency and consistency.

What you’ll bring

All qualifications

Core experience

7 to 10+ years of relevant experience in Data Warehousing and Data Engineering.
Proven experience designing, developing and supporting enterprise-scale ETL pipelines.
Strong understanding of data modelling concepts and best practices.
Experience with GitHub, CI/CD practices, API integrations and JSON processing.
Familiarity with ITSM processes and tools such as JIRA.
Ability to work effectively within geographically distributed and multicultural teams.

Preferred experience

Knowledge of telecom business processes and data domains is desirable.

Qualification wording

7 to 10+ years of relevant experience in Data Warehousing and Data Engineering. Strong hands-on experience with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena and Apache Iceberg. Proven experience designing, developing and supporting enterprise-scale ETL pipelines. Strong understanding of data modelling concepts and best practices. Experience with GitHub, CI/CD practices, API integrations and JSON processing. Familiarity with ITSM processes and tools such as JIRA. Knowledge of telecom business processes and data domains is desirable. Excellent analytical, problem-solving and stakeholder management skills. Ability to work effectively within geographically distributed and multicultural teams. Strong verbal and written communication skills in English.

About Vodafone Group

We are a leading international Telco, serving millions of customers.

In the employer’s words · Read in context

Apply at Vodafone Group

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20262 days ago
Recorded sightings: 3
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 2

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Vodafone Group is hiring

45 open jobs

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

Data Engineer hiring is steady
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
AWS
Iceberg
Redshift
S3
Spark

Where the posting names them

What you’ll do Design, develop and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, Amazon S3 and related AWS services. Build and optimise data warehousing and data lake solutions to support analytical and operational business requirements. Develop applications and data processing solutions using Python, SQL and cloud-native technologies. Create and maintain robust data models that support reporting, analytics and business intelligence needs. Perform data quality analysis, root cause investigation and resolution in collaboration with business and technical stakeholders. Develop proof-of-concept solutions to evaluate and implement innovative data engineering approaches. Support the operation and ongoing maintenance of data services to ensure reliability, scalability and performance. Automate repetitive activities and create reusable frameworks that improve efficiency and consistency. Work closely with cross-functional teams to design and deliver data products that support marketing and other business functions. Manage source code, deployments and releases using GitHub and CI/CD practices. Leverage tools such as Athena, Apache Iceberg, APIs and JSON-based integrations to support modern data architectures. Contribute to process improvements, operational excellence and continuous service enhancement initiatives. Exposure to Amazon QuickSight for dashboard development and data visualisation will be advantageous. Who you are

Who you are 7 to 10+ years of relevant experience in Data Warehousing and Data Engineering. Strong hands-on experience with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena and Apache Iceberg. Proven experience designing, developing and supporting enterprise-scale ETL pipelines. Strong understanding of data modelling concepts and best practices. Experience with GitHub, CI/CD practices, API integrations and JSON processing. Familiarity with ITSM processes and tools such as JIRA. Knowledge of telecom business processes and data domains is desirable. Excellent analytical, problem-solving and stakeholder management skills. Ability to work effectively within geographically distributed and multicultural teams. Strong verbal and written communication skills in English. Not a perfect fit?

About this Role We are seeking an experienced AWS Data Engineer to design, build and support scalable cloud-based data solutions that enable data-driven decision making across the business. This role will focus on developing and maintaining data pipelines, creating data models, supporting data quality initiatives, and delivering innovative solutions using AWS technologies. The successful candidate will collaborate with global stakeholders and contribute to the continuous improvement of modern data platforms and services. What you’ll do

What's in it for you Opportunity to work on large-scale cloud data platforms within a global telecommunications environment. Exposure to modern AWS-native data engineering technologies and architectures. Collaboration with international stakeholders and cross-functional teams across multiple markets. Opportunity to contribute to innovative proof-of-concept initiatives and data transformation programmes. Experience working in a highly collaborative environment focused on continuous improvement, automation and operational excellence. Exposure to global data governance, data quality and enterprise analytics practices. What skills you will learn

What skills you will learn Advanced cloud data engineering practices across the AWS ecosystem. Enterprise-scale data warehousing and data lake architecture design. Data governance, data quality management and root cause analysis methodologies. Modern DevOps and CI/CD approaches for data platforms. Cross-functional stakeholder engagement within a large global organisation. Telecom analytics and business data domain knowledge. Scalable data modelling and performance optimisation techniques. VOIS Equal Opportunity Employer Commitment

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Has Vodafone Group posted this job before?

Yes. We’ve followed 2 other AWS Data Engineer - VOIS jobs there since September 2026. One came down after 47 days. One is still up.

PuneCame down after 47 days, first seen Sep 12
PuneStill up after 35 days, first seen Sep 30
This jobUp 2 days so far, first seen Nov 2

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 ↗

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.

About this Role

We are seeking an experienced AWS Data Engineer to design, build and support scalable cloud-based data solutions that enable data-driven decision making across the business. This role will focus on developing and maintaining data pipelines, creating data models, supporting data quality initiatives, and delivering innovative solutions using AWS technologies. The successful candidate will collaborate with global stakeholders and contribute to the continuous improvement of modern data platforms and services.

What you’ll do

Design, develop and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, Amazon S3 and related AWS services.
Build and optimise data warehousing and data lake solutions to support analytical and operational business requirements.
Develop applications and data processing solutions using Python, SQL and cloud-native technologies.
Create and maintain robust data models that support reporting, analytics and business intelligence needs.
Perform data quality analysis, root cause investigation and resolution in collaboration with business and technical stakeholders.
Develop proof-of-concept solutions to evaluate and implement innovative data engineering approaches.
Support the operation and ongoing maintenance of data services to ensure reliability, scalability and performance.
Automate repetitive activities and create reusable frameworks that improve efficiency and consistency.
Work closely with cross-functional teams to design and deliver data products that support marketing and other business functions.
Manage source code, deployments and releases using GitHub and CI/CD practices.
Leverage tools such as Athena, Apache Iceberg, APIs and JSON-based integrations to support modern data architectures.
Contribute to process improvements, operational excellence and continuous service enhancement initiatives.
Exposure to Amazon QuickSight for dashboard development and data visualisation will be advantageous.

Who you are

7 to 10+ years of relevant experience in Data Warehousing and Data Engineering.
Strong hands-on experience with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena and Apache Iceberg.
Proven experience designing, developing and supporting enterprise-scale ETL pipelines.
Strong understanding of data modelling concepts and best practices.
Experience with GitHub, CI/CD practices, API integrations and JSON processing.
Familiarity with ITSM processes and tools such as JIRA.
Knowledge of telecom business processes and data domains is desirable.
Excellent analytical, problem-solving and stakeholder management skills.
Ability to work effectively within geographically distributed and multicultural teams.
Strong verbal and written communication skills in English.

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

What's in it for you

Opportunity to work on large-scale cloud data platforms within a global telecommunications environment.
Exposure to modern AWS-native data engineering technologies and architectures.
Collaboration with international stakeholders and cross-functional teams across multiple markets.
Opportunity to contribute to innovative proof-of-concept initiatives and data transformation programmes.
Experience working in a highly collaborative environment focused on continuous improvement, automation and operational excellence.
Exposure to global data governance, data quality and enterprise analytics practices.

What skills you will learn

Advanced cloud data engineering practices across the AWS ecosystem.
Enterprise-scale data warehousing and data lake architecture design.
Data governance, data quality management and root cause analysis methodologies.
Modern DevOps and CI/CD approaches for data platforms.
Cross-functional stakeholder engagement within a large global organisation.
Telecom analytics and business data domain knowledge.
Scalable data modelling and performance optimisation techniques.

VOIS Equal Opportunity Employer Commitment

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Alert

Follow us on social media

LinkedIn: https://www.linkedin.com/company/vois/
Facebook: https://www.facebook.com/voisglobal
Instagram: https://www.instagram.com/voisglobal/
You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2

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