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JobsAccenture

Full Stack Engineer

Accenture

Full Stack Engineer

Accenture

·

On-site

·

Full-time

·

4d ago

Project Role: Full Stack Engineer

Project Role Description: Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

Must have skills: Python (Programming Language)

Good to have skills: NA

Minimum 2 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary: We are looking for a strong Python engineer who enjoys building reliable, scalable solutions and is curious about growing into AI, ML, and Gen AI. You will be hired first and foremost for your Python expertise, working on analytics, data pipelines, and backend services that power real business use cases. Over time, with structured training and hands-on exposure, you will expand your skill set into AI-driven solutions such as predictive analytics, intelligent assistants, and model-powered APIs. You will work closely with teams across data, platform, and engineering to deliver solutions that are practical, robust, and production ready.

  • Roles & Responsibilities
  • Build and deliver Python-based applications and analytics solutions
  • Write clean, modular, and high-performance Python code
  • Develop and maintain data pipelines and backend services
  • Partner with data and platform teams to ensure high-quality data for analytics and future ML use cases
  • Contribute to technical designs and engineering decisions, with Python as your core strength
  • Support the integration of ML and GenAI models into Python applications as you upskill
  • Solve technical challenges across teams with a strong engineering mindset
  • Guide and mentor junior engineers on Python best practices
  • Continuously improve code quality, testing, performance, and deployment processes

Professional & Technical Skills:

Must-Have (Core Hiring Skills):

  • Strong hands-on experience in Python development
  • Experience building and supporting production-grade Python applications
  • Good understanding of data structures, OOP, and Python performance
  • Practical experience with Pandas, Num Py, and data manipulation
  • Working knowledge of SQL and databases
  • Familiarity with backend frameworks like Flask, FastAPI, or Django
  • Sound understanding of software engineering best practices (Git, testing, CI/CD)

Good-to-Have / Learn-on-the-Job:

  • Exposure to data analytics or analytical problem-solving

  • Basic understanding of machine learning concepts

  • Awareness of AI, ML, or Generative AI fundamentals (training will be provided)

  • Experience working on cloud platforms (Azure, AWS, or GCP)

  • Familiarity with Docker, APIs, and deployment pipelines

  • Additional Information

  • At least 2 years of hands-on Python experience

  • Background in Python backend, analytics, or full-stack development

  • A strong interest in learning and growing into AI, ML, and Generative AI modeling

  • 15 years of full-time education 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.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study