🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions. Job Summary Accenture is looking for Data Engineers at different levels of seniority (Analysts, Senior Analysts, Leads, Managers...) to help us with design, develop, and maintain data solutions. Applicants must have experience in Python and SQL. We have offices in Lisbon, Braga, and Coimbra - hybrid work model . Responsibilities Design, build, and maintain data pipelines and workflows for structured and unstructured data Develop and optimize ETL/ELT processes using Python and SQL Contribute to the development of internal tools and applications (Python-based) Apply best practices for data governance, security, and data quality in day-to-day activities. Managing databases and ensuring data quality and reliability. Collaborate with cross-functional teams to understand data requirements and implement effective solutions. Stay up to date with industry trends, tools, and emerging technologies to continuously improve technical skills and data processes Qualifications 3+ years of experience in data engineering, data science, or software development. Strong proficiency in Python and SQL for data manipulation and transformation (required). Knowledge of Data Engineering concepts, including data ingestion, transformation, and pipeline monitoring. Understanding of data governance, security, and data quality principles. Ability to work collaboratively with team members and cross-functional teams. Fluency in English (spoken and written). Nice to have (any of them 😊) Experience with cloud platforms such as AWS , Azure , GCP , or Snowflake . Familiarity with big data tools. Hands-on experience with APIs (e.g., RESTful APIs, GraphQL) and system integration. Knowledge of microservices architecture and containerization tools like Docker or Kubernetes . Exposure to machine learning workflows , including model training, evaluation, and deployment. Understanding of data modeling , data lakes , and data warehouses . Fluency in other languages, such as French and/or Spanish is a BIG plus. 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.