Role at a glance
- Job function
-
AI & Data MLOps & ML Infrastructure Data Engineering
- Salary
- Not Disclosed
- Location
- Lisbon, Santos 37
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 7 to 10 years of relevant work experience
- Education
- University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field
- Visa support
- Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal
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Role Summary
This role supports Accenture Digital Core by designing, operating and troubleshooting production data and machine learning pipelines for secure and scalable digital solutions. The work includes Azure-based data and ML workloads in regulated Financial Services environments, with collaboration across backend, platform and business teams.
What You'll Do
- Design, operate and troubleshoot end-to-end data and ML pipelines in production environments
- Integrate and run ML/AI models, ensuring correct handling of inputs, outputs and data changes
- Build and maintain batch and streaming pipelines using Spark / PySpark
- Monitor systems using logs, metrics and alerts, ensuring operational stability
- Contribute to CI/CD pipelines and DevOps practices for data and ML workloads on Azure
- Implement and debug pipelines on Azure Data Lake and Databricks
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field; 7 to 10 years of relevant work experience; experience in data/AI production and incident/support environments; Python, SQL, SQL-based database systems, PySpark/Spark, Azure, CI/CD and DevOps tools; professional English (C1 Level required in spoken and written).
Required
- University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field
- 7 to 10 years of relevant work experience
- Experience in data/AI production environments
- Experience in incident/support environments
- Experience with Python (production usage), SQL and SQL-based database systems
- Knowledge in PySpark / Spark, Azure (Synapse, Data Lake, Databricks), CI/CD and DevOps tools
- Understanding of Monitoring tools (logs, alerts)
- Professional English (C1 Level required in spoken and written)
Preferred
- French or Dutch is a plus
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Accenture Digital Core
At Accenture Digital Core, we help clients continuously innovate at speed and at scale, combining deep industry expertise with cutting-edge technology to deliver meaningful transformation. You will bring innovation, intelligence and experience together to shape robust, secure and scalable digital solutions.
What You'll Do
- Design, operate and troubleshoot end‑to‑end data and ML pipelines in production environments;
- Integrate and run ML/AI models, ensuring correct handling of inputs, outputs and data changes;
- Build and maintain batch and streaming pipelines using Spark / PySpark;
- Monitor systems using logs, metrics and alerts, ensuring operational stability;
- Contribute to CI/CD pipelines and DevOps practices for data and ML workloads on Azure;
- Collaborate with backend, platform and business teams in distributed environments;
- Develop production‑grade solutions using Python, SQL, JSON/YAML, Git;
- Implement and debug pipelines on Azure (Data Lake, Databricks);
- Use ML experimentation tools (MLflow, Weights & Biases, Databricks ML) and notebooks (e.g. Synapse);
- Ensure idempotent processing, performance profiling and safe re‑runs;
- Apply data validation, sanity checks and numerical precision awareness;
- Ensure observability through log and metric interpretation;
- Apply basic access control (RBAC) and secure data handling practices
- Work within regulated environments (Financial Services);
- Participate in Agile delivery, documentation practices and incident awareness;
- Model Lifecycle awareness as well as assumptions & limitations;
- Aware of compliance contraints;
What You Bring
- University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field;
- 7 to 10 years of relevant work experience;
- Experience in data/AI production environments;
- Experience in incident/support environments;
- Experience with Python (production usage), SQL and SQL‑based database systems;
- Knowledge in PySpark / Spark, Azure (Synapse, Data Lake, Databricks) as well as CI/CD and DevOps tools (Azure DevOps, pipelines);
- Understanding of Monitoring tools (logs, alerts);
- Professional English (C1 Level required in spoken and written);
- French or Dutch is a plus;
- Effective communication with both technical and non‑technical stakeholders;
- Strong collaboration skills within distributed and cross‑functional teams;
- Proactive mindset with a high sense of ownership and accountability;
- Structured approach to incident and problem management;
-Ability to prioritize workload efficiently in a dynamic environment.
Legal: Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal
What We Offer
- Health insurance;
- Life Insurance and Pension Plan Programs;
- Free medical services at the office (Physician, Nutritionist, Psychologist);
- Wellness programs;
- Flexben Program (Support for Education, Kindergarden, Training, Technology, Health);
- Employee Share Purchase Plan;
- Personalized training paths and access to Udemy and Plurisight Plataforms;
- Flex-ability program (financial and flexible support for people with disabilities);
- Special banking conditions;
- Hybrid working model.
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
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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.