Senior Data Engineer (AI) Lisboa

Senior Data Engineer (AI)
Lisboa
Lisboa, Lisboa, Portugal

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We are looking for a motivated Senior Data Engineer (AI) who is willing to dive into a new project with a modern stack. If you’re driven by curiosity to learn and a desire to produce meaningful results, please apply!

About Our Customer

You will work with the 6th-largest privately owned organization in the United States, one of the "Big Four" accounting organizations and the largest professional services network in the world by revenue and professionals. The company provides audit, tax, consulting, enterprise risk, and financial advisory services to 263, 900 professionals globally.

About The Project

As a Data Engineer, you’ll be part of a
- functional team working on Gen
AI solutions for digital transformation across Enterprise Products. The team is responsible for designing, developing, and deploying innovative enterprise technology, tools, and processes to support tax services. It includes professionals from tax, technology, change management, and project management backgrounds, focusing on process and tool development, training, engagement management, and implementation.

Project Tech Stack

Azure Cloud, Microservices Architecture, . NET 8, ASP. NET Core, Python, Mongo
DB, Azure SQL, Angular 18, Kendo, Git
Hub Enterprise with Copilot

Requirements

• 6+ years of software development experience
• Proficiency in SQL/Python, with strong CS fundamentals
• Experience with Hadoop, Map
  Reduce, Kafka, Hive, Spark, SQL, No
  SQL data warehouses
• Azure cloud data platform experience
• Knowledge of vector databases (Milvus, Postgres, etc. )
• Understanding of embedding models and RAG architectures
• Experience with LLM pipelines and data preprocessing for Gen
  AI
• Deploying scalable data pipelines for AI/ML workloads
• Familiarity with model monitoring, feature stores, data versioning
• Experience with CI/CD for ML pipelines (Kubeflow, MLflow, Airflow, Sage
  Maker)
• Knowledge of
  - time streaming (Kafka, Spark Streaming)
• Data warehousing design, implementation, and optimization
• Data quality testing, automation, and visualization
• BI reports and dashboards (Power
  BI)
• Supporting data scientists and statistical use cases is a plus

English Level

Intermediate+

Responsibilities

• Build, deploy, and maintain
  - critical analytics solutions processing
  - scale data
• Design, code, manage data ingestion,
  - time streaming, batch processing, ETL across data stores
• Optimize SQL queries and data flows for performance

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting