Databricks Engineer - Intern

LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide across many, with governance designed in from the start. We are early-stage, flat, and deliberately small. You work directly with customers, own the architecture you design, and see it reach production. We like engineers who are direct, curious, and would rather get something right than get it agreed. What are we looking for? We’re looking for a Databricks Engineer Intern for a 6-month program to get hands-on with real client data pipelines and Lakehouse architecture, working alongside our delivery team on live engagements. At LAKEORA, interns are not sidelined to busywork. You’ll work alongside client-facing engineers, contribute to actual pipeline builds, and get exposure to how a Databricks consulting engagement runs end to end. As part of the program, we invest in accelerating your Databricks learning path toward achieving the Databricks Certified Data Engineer Associate certification by the end of the internship. Lean team, high visibility, real learning. Key Responsibilities • Support the development of data pipelines using Spark (PySpark and SQL) on Databricks • Assist with implementing Lakehouse and Medallion architecture patterns under senior engineer guidance • Help with data ingestion, transformation, and quality checks on client and internal projects • Support testing, debugging, and documentation of pipeline code • Participate in code reviews and learn version control (Git) and Agile delivery practices • Assist in preparing materials for client demos and technical discovery sessions • Follow a structured learning path covering core Databricks concepts: Delta Lake, Unity Catalog, Lakeflow Jobs • Prepare for and sit the Databricks Certified Data Engineer Associate exam before the internship ends • Take on small, well-scoped engineering tasks with increasing independence over the 6 months Qualifications Required: • Saudi National • Recently graduated with a degree in Computer Science, Software Engineering, Data Engineering • Foundational knowledge of SQL and at least one programming language (Python preferred) • Basic understanding of data concepts: databases, ETL/ELT, data structures • Strong curiosity and willingness to learn in a fast-paced, client-facing environment • Good communication skills, comfortable asking questions and taking feedback • Fluency in Arabic and English Preferred: • Coursework or personal projects involving Spark, Databricks, or cloud platforms (Azure, AWS, GCP) • Exposure to Git or other version control tools What You’ll Gain • Hands-on experience on live client Databricks engagements • A structured path to the Databricks Certified Data Engineer Associate certification, with LAKEORA covering the investment in your learning • Direct mentorship from senior engineers in a small, client-facing team WE’RE GROWING FAST ACROSS THE KINGDOM AND THE REGION, SO WE’RE KEEPING THIS ROLE OPEN ON A ROLLING BASIS. APPLICATIONS ARE REVIEWED CONTINUOUSLY, WITH NO FIXED DEADLINE TO APPLY. If this sounds like the kind of work you want to do, we would like to hear from you. LAKEORA is an equal opportunity employer and assesses every application on merit.

Key Responsibilities: Support the development of data pipelines using Spark (PySpark and SQL) on Databricks • Assist with implementing Lakehouse and Medallion architecture patterns under senior engineer guidance • Help with data ingestion, transformation, and quality checks on client and internal projects • Support testing, debugging, and documentation of pipeline code • Participate in code reviews and learn version control (Git) and Agile delivery practices • Assist in preparing materials for client demos and technical discovery sessions • Follow a structured learning path covering core Databricks concepts: Delta Lake, Unity Catalog, Lakeflow Jobs • Prepare for and sit the Databricks Certified Data Engineer Associate exam before the internship ends • Take on small, well-scoped engineering tasks with increasing independence over the 6 months