At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change. You’ll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow. Electric Mind’s Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes. About the Role
We are looking for both permeant and contract for this role. We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services / wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze → silver → gold) using PySpark, and publishes curated data to downstream consumers via file exports and Kafka. You'll work alongside a senior engineer, writing transform code, fixing pipeline issues, and helping keep the environment healthy across dev/qa/uat.
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks internals on day one — you will be expected to learn fast, ask good questions, and write clean,