Accenture

Accenture

Posted via Workday

Data & AI Engineer for Industry X

Posted Oct 1, 2026

Role at a glance

Job function
AI & Data Data Engineering Machine Learning Engineering
Salary
Not Disclosed
Location
Athens
Employment
Full-time
Experience
At least 2-3 years of experience in Data Engineering, Machine Learning, Data Science or a related field.
Education
Bachelor's degree in Computer Science, Data Science, Data Engineering, Engineering or a related field.

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Role Summary

AI-generated

Works with clients on data and AI projects, designing and implementing solutions for advanced analytics, machine learning, and intelligent operations. The role builds data platforms and models and collaborates with technical teams and business stakeholders to deliver and improve those solutions.

What You'll Do

  • Build and maintain scalable data pipelines for AI, machine learning, and analytics systems, integrating sources such as IoT sensors,...
  • Develop and maintain data lakes, data warehouses, and real-time data pipelines.
  • Develop and evaluate machine-learning and time-series models for forecasting, classification, and predictive analytics.
  • Perform data analysis, feature engineering, and model optimization, while ensuring data quality, availability, security, and reliability.
  • Collaborate with data scientists, ML engineers, software engineers, and business stakeholders to translate requirements into scalable...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires a bachelor's degree in a listed or related field, at least 2-3 years of relevant experience, strong Python and SQL skills, and experience with ETL/ELT pipelines, modern data platforms, machine learning, predictive modeling, time-series forecasting, and relational or NoSQL databases. Also seeks familiarity with Spark, Databricks, Airflow, Kafka, and machine-learning frameworks, plus knowledge of data analysis, model evaluation, and optimization.

Original job description

Content provided by the employer

ARE YOU READY to step up to the New and take your technology expertise to the next level?

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our clients' most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses.

 

Industry X

We embed innovation, intelligence and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future.

We define Industry X as digital reinvention of manufacturing & engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth.

Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Visit us here to find out more about Industry X.


You Are:

A curious learner and innovator, with your finger on the pulse of the latest technology solutions. You are passionate about data, analytics and artificial intelligence, and you enjoy transforming complex data into actionable insights that drive business value. You thrive in fast-paced environments where data engineering and machine learning come together to solve real-world challenges and enable smarter decision-making.

You are excited by the opportunity to design scalable data platforms, build robust data pipelines and develop advanced machine learning models that support digital transformation initiatives. There's a depth and breadth to your knowledge of data technologies, predictive analytics and intelligent solutions, and you're generous about sharing that expertise with colleagues. Communication and collaboration come naturally to you, allowing you to work effectively across multidisciplinary teams. And when it comes to problem-solving, your analytical mindset and creativity help you turn complex challenges into innovative solutions.


What will you do?

You will work closely with our clients in innovative projects to help them transform, grow and adapt in an increasingly digital world. Specifically, you will be part of teams designing and implementing modern data and AI solutions that support advanced analytics, machine learning and intelligent operations.

 

  • Build and maintain scalable data pipelines supporting AI, machine learning and analytics systems.
  • Integrate data from sources such as IoT sensors, smart meters, ERP systems, APIs and external platforms.
  • Develop and maintain data lakes, data warehouses and real-time data pipelines.
  • Develop and evaluate machine learning models for forecasting, classification and predictive analytics use cases.
  • Build time-series models using techniques such as LSTM, Prophet and Transformer-based architectures.
  • Perform data analysis, feature engineering and model optimization.
  • Ensure data quality, availability, security and reliability across the data ecosystem.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers and business stakeholders to translate requirements into scalable data and AI solutions.
  • Support model validation, deployment and continuous improvement to ensure reliable and high-performing solutions.

Who We're Looking For:

  • Bachelor's degree in Computer Science, Data Science, Data Engineering, Engineering or a related field.
  • At least 2-3 years of experience in Data Engineering, Machine Learning, Data Science or a related field.
  • Strong Python and SQL skills.
  • Experience with ETL/ELT pipelines and modern data platforms.
  • Experience with machine learning, predictive modelling and time-series forecasting techniques.
  • Experience with relational or NoSQL databases.
  • Familiarity with technologies such as Spark, Databricks, Airflow, Kafka and machine learning frameworks.
  • Good knowledge of data analysis, model evaluation and optimization techniques.

What's in it for you?

  • Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts
  • Continuous hard and soft skills training & development through global platforms & local academy
  • Career coaching and mentorship to help you manage your career and develop professionally
  • Ongoing strengths and skills based evaluation process
  • Various opportunities to develop your career across a spectrum of clients, industries and projects
  • Diverse and inclusive culture
  • Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)
  • Under our Brain Regain initiative, extra relocation benefits may apply

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, sexual orientation, gender identity or expression, 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.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.