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Data Science/MLOps Engineer

Accenture
Barcelona, Spain
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source
indeed.com

Tech stack

Cloud Engineering Data Governance Data Migration Data Systems Data Warehousing Machine Learning Software Engineering Data Streaming Data Ingestion Large Language Models Machine Learning Operations Data Pipelines

Job description

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.

Requirements

Do you have experience in Software development?, Do you have a Master’s degree?, 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.

Apply for this position

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Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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2:44 min

Defining core roles and responsibilities in MLOps teams

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2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:18 min

Executing background data migrations using AzCopy

Radu Vunvulea Radu Vunvulea · WWC 2022

1:50 min

Lowering pipeline latency with data streaming

Nathaniel Okenwa Nathaniel Okenwa · WWC 2024

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · WWC 2023

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

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LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

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30:28
WWC Europe 2026 • about 1 month ago

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client

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29:25
WWC 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

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WWC 2024 • almost 2 years ago

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