Databricks Data Analyst – AI/BI & FinOps

About the role

Etihad Airways is looking for an experienced, hands-on Databricks Data Analyst to build, optimise and enhance its data and analytics environment. The role combines Databricks data engineering, Azure FinOps and cost optimisation, data analysis and visualisation, and works with large, complex datasets to deliver scalable pipelines and actionable insights. It suits someone who bridges data engineering and analytics and helps optimise the performance and cost of the Azure and Databricks environment.

Key responsibilities

• Evaluate business needs to determine data and infrastructure requirements.
• Design and maintain scalable, high-performance data pipelines and architectures.
• Ingest and process raw data from a variety of sources, both batch and streaming.
• Assemble large, complex datasets supporting business intelligence, analytics and machine learning.
• Collaborate with cross-functional teams on data requirements and deliverables.
• Identify and implement process improvements such as automation, optimised data delivery and re-architected infrastructure.
• Profile data, analyse pipeline performance and publish statistics, metadata and summaries.
• Build tools supporting data transformation, data quality and governance.
• Monitor, report and optimise cloud cost consumption.
• Support analytics and data science teams with tooling and data accessibility.

Required profile

• 3+ years of experience as a Data Engineer or Data Analyst.
• Bachelor's degree in computer science or a related field.
• Strong communication and stakeholder management skills.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with data warehouse design, data modelling and partitioning strategies.
• Knowledge of data governance, including cataloging, lineage and compliance.
• Familiarity with version control (e.g. Git) and exposure to CI/CD for data workflows.

Required skills

• Advanced SQL and relational databases (e.g. PostgreSQL)
• Strong Python for data engineering
• Strong Databricks AI/BI experience
• Azure cloud data platform
• Structured and unstructured data