$60 - $80
A fast-growing, AI-driven digital consultancy is hiring a Data Engineer to help build modern data platforms for large enterprise clients. This role focuses on technologies like Databricks, Apache Spark (PySpark), and cloud platforms (AWS/Azure), delivering scalable solutions that power analytics and machine learning initiatives.
This opportunity stands out for its high impact and variety, so you won't be siloed. Instead, you'll design end-to-end pipelines, contribute to cloud lakehouse architectures, and partner closely with analytics and AI teams across multiple industries. It's ideal for someone who wants to expand their technical depth while working on meaningful, production-level systems that directly influence business outcomes.
Required Skills & Experience
3-5 years of hands-on data engineering experience
Strong experience with Databricks (Delta Lake, workflows, SQL)
Proficiency with Apache Spark (PySpark preferred)
Advanced SQL skills for large-scale data processing
Experience with AWS or Azure data services
Solid understanding of data modeling and architecture patterns
Experience working in Agile environment
Desired Skills & Experience
Experience with Delta Live Tables or similar frameworks
Familiarity with dbt or modern transformation tools
Exposure to ML pipelines or feature engineering workflows
Experience with data governance or cataloging tools
Background in consulting or client-facing environments
Experience with streaming data (Kafka or Spark Streaming)
What You Will Be Doing
Tech Breakdown
70% Databricks / Spark / Cloud Data Engineering
30% Data Modeling, Optimization, and Collaboration
Daily Responsibilities
The Offer
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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