Data Engineer

Meet Landmark Digital – we’re part of the Landmark Group, one of the largest retail and hospitality organisations in the Middle East, North Africa, and India. We’re guardians of the group’s digital arm which encompasses of Enterprise & E-commerce Tech, Product Management, User Design, Omni Operations, Customer Experience, Loyalty, Content Production, Studio, Growth and Mar Tech, Finance and HR functions. With a futuristic outlook we strive to make the digital experience of our customers seamless.

Headquartered in Dubai, UAE, we’re currently driving the digital experience for 8 industry-leading brands in 8 geographies, and rapidly expanding our footprint across new territories and functions. Join us, and you’ll be part of the Middle East’s biggest bricks-to-clicks success story, that registers over 100% growth year-on-year. Agile work culture: Within the digital function, you’ll be hands-on from day one, working in squads to make independent decisions and game-changing contributions that directly impact millions of customers.

You’ll collaborate every day with teammates from 20 nationalities, across Dubai, India, Europe and the US. Space for excellence: Landmark Digital has a dedicated and growing software development centre in Bangalore, India, where we incubate, design and optimise our products and experiences. We also offer the option to work remotely for certain key roles.

Focus on learning and growth: Excellent remuneration and perks are part of the package, but we also budget ample time and resources for training and upskilling. Qualifications and Responsibilities Experience Range - 4 to 6 yrs Responsible for the governance ensuring data availability, accuracy, and performance across environments as an expert Azure Data Ops with 4-6 years of experience. Orchestrate, monitor, and automate data pipelines across Azure Data Factory, Databricks, and Synapse.

Build scalable CI/CD workflows using Azure DevOps for data deployments and version control. Ensure data pipeline reliability through alerting, auto-restart, and SLA compliance. Set up proactive alerts and error handling for failed or delayed pipelines.

Drive process standardization and documentation for repeatable and auditable data workflows. Enable lineage and impact analysis across datasets to improve governance and trust. Enforce data quality checks (DQ rules, schema validation, completeness) at ingestion and transformation stages.

Collaborate with governance teams to align with cataloging, retention, and compliance standards. Continuously optimize data processing cost, performance, and resource utilization across environments. Hands-on expertise in: Azure Data Factory, Databricks, Synapse, and Azure DevOps.

CI/CD pipeline design for data workflows. Python, SQL, PowerShell scripting for automation. Data governance and observability tools.

Preferred Familiarity with big data frameworks (Spark, Delta Lake). Experience in a retail data environment. Azure certifications: Azure Data Engineer Associate or DevOps Engineer Expert.

Location: Bangalore