Mid-Level Data Engineer (Remote, Contract) (Databricks | Spark | Airflow | Python | SQL)

We are a rapidly growing Data Science and Data Engineering consultancy, expanding our team to tackle large, complex projects with real-world impact.

Here, AI isn't just a "concept": it's integrated into our daily operations through automations, pipelines, observability, quality control, and productivity enhancements, always focusing on robustness and scalability for enterprise clients.

If you enjoy building systems that truly work—ensuring data arrives on time, with governance, performance, and traceability—come join us. 👇

✅ What you'll do

Build and evolve data pipelines (batch and, when necessary, near real-time)

Develop and optimize processes in Databricks + Spark (PySpark)

Orchestrate workflows with Apache Airflow (resilient and easy-to-maintain DAGs)

Work with Python and SQL for ingestion, transformation, and validation

Implement data quality, monitoring/alerting, logging, and observability

Collaborate with Data Science, Analytics, and Product teams

Document decisions and support engineering standards (Git, CI/CD, code review)

🎯 Requirements

Hands-on experience with Databricks (Jobs, notebooks, clusters, Delta/medallion architecture or equivalent)

Solid Spark / PySpark skills (transformations, optimization, efficient read/write operations)

Experience with Airflow

Python applied to data engineering

Strong SQL (joins, CTEs, window functions, modeling, and performance)

Clear understanding of data modeling and governance

💡 What you'll find here

Challenging projects with major companies and real-world data

Fast-paced growth environment with room for ownership and professional development

Team culture: collaboration, autonomy, delivery, and quality

Modern tech stack with genuine incentives for automation and best practices