Overview
Data Engineer Jobs in Saudi Arabia at LAKEORA
Title: Data Engineer
Company: LAKEORA
Location: Saudi Arabia
Company Description
LAKEORA is a Saudi data and AI advisory firm and a pure-play Databricks partner headquartered in Riyadh. The company designs governed, production-grade data platforms on the Databricks Data Intelligence Platform, unifying data engineering, analytics, and AI on a single lakehouse architecture. Governance is embedded from the start, aligned with NDMO, SDAIA, and PDPL requirements. LAKEORA serves leading Saudi enterprises in industries such as manufacturing, logistics, and transportation. The team focuses on delivering data, intelligence, and oversight to help organizations unlock business value from their data assets.
What are we looking for?
We're looking for a Data Engineer with strong data fundamentals and the drive to grow into Databricks delivery fast. You don't need deep Databricks experience yet, but you should know your way around SQL, Python, and how data pipelines actually work.
At Lakeora, engineers are client-facing by design. Early on you'll support discovery sessions and demos, learn directly from senior engineers on live client work, and take ownership of real pipeline components. Lean team, high visibility, real impact.
Key Responsibilities
- Build and maintain data pipelines using Spark (PySpark and SQL) on Databricks, under the guidance of senior engineers
- Support technical discovery sessions, capturing requirements and helping document findings
- Contribute to technical demos and client deliverables, growing toward presenting independently
- Translate defined requirements into working pipeline components and transformations
- Apply sound engineering practices: code reviews, unit testing, Git, and Agile delivery
- Troubleshoot data quality and pipeline issues with increasing independence
- Stay current on Databricks, Data, GenAI and AI through hands-on learning and team knowledge-sharing
Qualifications
Required:
- 1-3 years of data engineering experience, or a strong portfolio of relevant projects
- Solid SQL fundamentals, conceptually not just syntax
- Working Python experience, ideally including PySpark or a clear ability to pick it up quickly
- Understanding of core data engineering concepts: data modeling, ETL/ELT, and pipeline design
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with version control (Git)
- Strong communication skills and comfort engaging with people directly
- Degree in Computer Science, Software Engineering, Mathematics, or a related STEM field
Preferred:
- Exposure to Databricks concepts such as Lakehouse, Delta Lake, and Unity Catalog
- Hands-on experience with any Databricks tooling (Lakeflow Jobs, Declarative Pipelines, AI/BI Dashboards, Genie)
- Databricks certifications (Data Engineer Associate, Data Analyst Associate)
- Any consulting, client-facing, or internship delivery experience
- Exposure to manufacturing, supply chain, or logistics data domains
- Exposure to SDAIA, NDMO and PDPL regulations in Saudi Arabia
- Exposure to AI and GenAI (Claude Code, RAG, Agents, ..etc)
Benefits & Perks
- Competitive salary package based on experience and capabilities
- Flexible remote-first work environment with work-from-home options
- Premium medical insurance coverage
- Performance-based bonuses and career growth opportunities
- Sponsored Databricks training and certification paths
- Direct mentorship from experienced Databricks and Data Engineering professionals
- Paid annual leave and public holidays