Skip to main content Skip to footer

Data Science/MLOps Engineer

Data Eng, Mgmt & Governance Manager | Senior Level | Full time
Job No. 13453566 | Madrid
Apply for this job
THE WORK: Embrace the opportunity to innovate and excel! You will have the chance to perform independently and become a subject matter expert while actively participating in discussions that contribute to providing solutions for work-related challenges. Your expertise in Foundation Models will be invaluable as you engage in exciting projects that drive impactful results. We look forward to your unique contributions and insights! Develop reusable workflows that enhance data ingestion, quality, transformation, and optimization. Build scalable data pipelines utilizing various tools for extraction, transformation, and loading. Deploy data solutions effectively in production environments. Migrate data from legacy data warehouses while adhering to cloud architecture principles. Automate data flow processes to facilitate seamless consumption. Design and implement business processes that support data governance. Advise on data quality rules and establish effective data compliance policies. HERE'S WHAT YOU WILL NEED: Master proficiency in Foundation Models. Expert proficiency in Amazon Bedrock. A minimum of 1 year of experience in relevant related skills. Bachelor's Degree in relevant field of studies. BONUS POINTS IF YOU HAVE: Master proficiency in Amazon Sagemaker. Master proficiency in Machine Learning. Master proficiency in Python Software Development. Expert proficiency in LLMOps.

THE WORK: Embrace the opportunity to innovate and excel! You will have the chance to perform independently and become a subject matter expert while actively participating in discussions that contribute to providing solutions for work-related challenges. Your expertise in Foundation Models will be invaluable as you engage in exciting projects that drive impactful results. We look forward to your unique contributions and insights!

Develop reusable workflows that enhance data ingestion, quality, transformation, and optimization.
Build scalable data pipelines utilizing various tools for extraction, transformation, and loading.
Deploy data solutions effectively in production environments.
Migrate data from legacy data warehouses while adhering to cloud architecture principles.
Automate data flow processes to facilitate seamless consumption.
Design and implement business processes that support data governance.
Advise on data quality rules and establish effective data compliance policies.

HERE'S WHAT YOU WILL NEED:

Master proficiency in Foundation Models.
Expert proficiency in Amazon Bedrock.
A minimum of 1 year of experience in relevant related skills.
Bachelor's Degree in relevant field of studies.

BONUS POINTS IF YOU HAVE:

Master proficiency in Amazon Sagemaker.
Master proficiency in Machine Learning.
Master proficiency in Python Software Development.
Expert proficiency in LLMOps.

Madrid

Equal Employment Opportunity Statement for Australia and New Zealand

At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.

Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.

We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).

To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.

Discover where this job fits at Accenture

Artificial Intelligence

AI and data science jobs: Uncover new possibilities

Unlock the power of AI and data to reinvent all facets of business–responsibly.

Learn more