Databricks Data Analyst – AI/BI & FinOps
Job role insights
Date posted
November 12, 2026
Hiring location
Abu Dhabi
Qualification
Bachelor's degree in Computer Science or related field
Experience
3 Years
Gender
Any
Description
The Databricks Data Analyst helps build and improve a modern data and analytics environment by combining data engineering, business intelligence and cloud cost optimisation. The role works with large and complex datasets, creates scalable pipelines and delivers trusted information for analytics and business decisions. It also supports the performance, governance and cost efficiency of the Azure and Databricks environment.
Key Responsibilities
- Assess business needs and translate them into data and infrastructure requirements.
- Design, build and maintain scalable data pipelines for batch and streaming data.
- Prepare complex datasets for business intelligence, analytics and machine-learning use cases.
- Collaborate with technical and business teams to deliver reliable and accessible data solutions.
- Profile data, analyse pipeline performance and improve data quality, transformation and governance.
- Monitor Azure and Databricks consumption, report cloud costs and implement optimisation measures.
Requirements and Qualifications
- At least three years of experience as a Data Engineer or Data Analyst.
- A bachelor’s degree in Computer Science or a related field.
- Strong Python proficiency, advanced SQL skills and experience with relational databases such as PostgreSQL.
- Experience building ETL/ELT pipelines, Databricks AI/BI and an Azure cloud data platform; data warehouse design, data modelling, data governance, Git and CI/CD exposure are also relevant.
Skills and Competencies
The position requires data engineering capability, analytical thinking, pipeline optimisation and cloud-cost awareness. Candidates should understand data warehouses, data modelling and structured and unstructured datasets, with familiarity in cataloguing, lineage, compliance, Git and CI/CD workflows. Strong communication and stakeholder-management skills are needed to turn business requirements into practical data solutions.
Employment Details
This is a full-time role within Digital Technology & Innovation. The successful candidate will work with analytics and data-science teams, support data accessibility and help improve the reliability, performance and cost effectiveness of cloud data services.
Skills
select-type
Full Time
Interested in this job?
43 days left to apply
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