2 months ago
Lisbon, PortugalSenior
Responsibilities
- Design, operate, troubleshoot, and maintain production data and ML pipelines, including batch and streaming workloads.
- Integrate and operate ML/AI models while handling inputs, outputs, data changes, lifecycle considerations, assumptions, and limitations.
- Build production-grade solutions using Python, SQL, JSON/YAML, Git, Spark, and PySpark.
- Implement and debug pipelines on Azure using Data Lake, Databricks, and Synapse.
- Use ML experimentation tools including MLflow, Weights & Biases, and Databricks ML.
- Monitor systems through logs, metrics, alerts, and observability practices to ensure operational stability.
- Apply data validation, sanity checks, numerical precision awareness, idempotent processing, performance profiling, and safe reruns.
- Contribute to CI/CD and DevOps practices for data and ML workloads.
- Apply basic access control and secure data-handling practices in regulated financial-services environments.
- Collaborate with backend, platform, business, technical, and non-technical stakeholders in distributed teams.
- Participate in Agile delivery, documentation, incident awareness, compliance activities, and structured problem management.
Requirements
- University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field.
- 7–10 years of relevant work experience.
- Experience working in production data and AI environments.
- Experience in incident and support environments.
- Production experience with Python, SQL, and SQL-based database systems.
- Knowledge of Spark/PySpark, Azure Synapse, Azure Data Lake, Databricks, CI/CD, DevOps tools, and Azure DevOps pipelines.
- Understanding of monitoring tools, logs, and alerts.
- Professional English at C1 level in spoken and written communication.
- French or Dutch is a plus.
- Ability to communicate effectively with technical and non-technical stakeholders and collaborate across distributed, cross-functional teams.
- Proactive, structured, accountable approach to ownership, workload prioritization, incident management, and problem management.
Benefits
- Health insurance, life insurance, and pension plan programs.
- Free medical services at the office, including physician, nutritionist, and psychologist services.
- Wellness programs and special banking conditions.
- Flexben support for education, kindergarten, training, technology, and health.
- Employee Share Purchase Plan.
- Personalized training paths and access to Udemy and Pluralsight platforms.
- Flex-ability financial and flexible support for people with disabilities.
- Hybrid working model.
- Must own a valid work permit or EU/Schengen nationality to legally work in Portugal.
Tech Stack
Categories
Data EngineeringML Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.