{bc}
ashby

Senior Databricks Engineer

LAKEORA
Riyadh, KSA
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
awsazuredatabricksdelta-lakegcpgit

Full Job Posting

What are we looking for?

We're looking for a Senior Data Engineer who owns the full cycle of Databricks implementations: discovery, architecture, delivery, and the demo that wins the room.

At Lakeora, engineers are client-facing by design. You'll work directly with client stakeholders, shape data platform strategies, and present technical demos that make the value tangible. Lean team, high visibility, real impact.

Key Responsibilities

Design and build scalable data pipelines using Spark (PySpark and SQL) on Databricks

Lead or support technical discovery sessions with prospective clients, documenting findings and shaping solution approaches

Deliver tailored technical demos on the Databricks platform, speaking to both business value and technical depth

Translate client requirements into delivery scopes and effort estimates in collaboration with the broader team

Act as technical lead across client engagements, from architecture design through implementation

Apply sound engineering practices: code reviews, unit testing, Git, and Agile delivery

Mentor junior engineers and contribute to raising the team's technical standard

Stay current on emerging trends and best practices in Databricks, Data, GenAI and AI.

Qualifications

  • Required:
  • 5+ years of data engineering experience with hands-on Spark development (PySpark and SQL)
  • Strong SQL fundamentals, conceptually not just syntax
  • Deep understanding of core Databricks concepts such as: Lakehouse, Medallion, Delta Lake and Unity Catalog
  • Hands-on Databricks experience including: Lakeflow Jobs, Declarative Pipelines, AI/BI Dashboards, and Genie
  • Cloud experience on one or more hyperscalers (Azure, AWS, or GCP)
  • Solid understanding of data warehousing, data modeling, ETL/ELT design, and pipeline architecture
  • Strong communication skills with the ability to engage both technical and business stakeholders confidently
  • Experience with version control (Git) and CI/CD tools
  • Degree in Computer Science, Software Engineering, Mathematics, or a related STEM field
  • Preferred:
  • Databricks certifications (Data Engineer Associate / Professional strongly preferred)
  • Consulting or client-facing delivery experience
  • Experience with streaming technologies such as Kafka or Spark Streaming
  • Exposure to manufacturing, supply chain, or logistics data domains
  • Exposure to Data & AI regulations in Saudi Arabia
  • Exposure to AI and GenAI (Claude Code, RAG, Agents,..etc)
  • 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.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at LAKEORA