We are looking for one of our clients for a talented Data Engineer with a strong software engineering mindset and hands-on experience building modern data and machine learning platforms.

Your Responsibilities

- Design, build, and maintain scalable data pipelines, ML solutions, and event-driven architectures using Python, PySpark, and Databricks

- Develop and optimize batch and streaming data solutions across GCP and Azure environments

- Work with

BigQuery and Snowflake for large-scale data processing and analytics

- Build and deploy

ML pipelines and ML engines

, including model lifecycle management with MLflow

- Apply strong software engineering practices and implement CI/CD pipelines using Azure DevOps and/or GitLab CI

Your Profile

- 4+ years of hands-on experience in

Data Engineering, Software Engineering, MLOps, or similar roles

- Strong programming skills in

Python

,



including object-oriented programming (OOP)

- Strong hands-on experience with

PySpark and Databricks

- Very good

SQL skills and experience working with

BigQuery and/or Snowflake

- Experience working across cloud environments, particularly

GCP and Azure

- Hands-on experience with

CI/CD

, ideally Azure DevOps and/or GitLab CI

Nice to Have

- Experience with

MLflow and MLOps practices

- Experience with

Docker and Kubernetes

- Knowledge of

LLMs and Applied AI

, including tools such as LangChain

- Experience developing APIs using

FastAPI or Flask

- Experience with event-driven or streaming architectures

Location:

Barcelona

Working model:

Hybrid

📌 Software Engineer - Data (Barcelona)
🏢 Lawrence Harvey
📍 Barcelona