Senior Data Engineer

Overview

As a Senior Data Engineer in the Commercial Data Products & Reporting team, you will own the pipelines, semantic models and reporting data behind a governed portfolio of global standard reports. You will be the technical anchor for the data layer across ingestion, transformation, orchestration, semantic modelling and reporting.

What you'll do

• Design, build and run scalable data pipelines in Azure Databricks (SQL/PySpark) on ADLS, orchestrated with Azure Data Factory, integrating multiple ERP and operational source systems.
• Design, maintain and optimize Azure Analysis Services models and Power BI / Fabric semantic models, moving business logic upstream into the data platform where it improves performance and maintainability.
• Work with Product Owners and Reporting Analysts to turn requirements into governed data products, dashboards and reports.
• Own the monitoring and refresh of scheduled pipelines and models, including root-cause analysis when something fails.
• Maintain runbooks, documentation and lineage so the landscape can be supported by more than one person.
• Apply Git-based version control, code review and dev-to-prod promotion, and uphold data quality and governance standards.
• Use AI assistants and agents in everyday engineering work, for example for code, testing and documentation, and help make data AI-ready.
• Build reusable components and automation that reduce manual effort and scale the reporting landscape.
• Introduce and champion new technologies and practices that improve efficiency, scalability and cost.
• Coach Reporting Analysts and new colleagues on engineering good practice.
• Share knowledge openly, so that no capability depends on a single person.

What you'll need

• Hands-on experience with Azure Databricks (SQL/PySpark), ADLS and Azure Data Factory.
• Hands-on experience with Azure Analysis Services and Power BI / Fabric modelling, including DAX.
• Strong SQL and Python.
• First hands-on experience using AI, such as coding assistants or agents, to support your work, and the curiosity to go further.
• Ability to explain technical trade-offs clearly to non-technical stakeholders and push back constructively on scope.
• Ability to turn ambiguous requests into clear requirements and scalable solutions.
• Ability to work well in a globally distributed team, with clear written communication and handovers.
• Ability to take ownership end to end, mentor others, and share knowledge generously.
• Comfort with Agile ways of working and tools such as Jira.
• Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems or a related field, or equivalent practical experience.
• 5+ years of experience in data engineering and/or BI engineering.

Nice to have

• Dremio or similar query layers.
• MDX.
• Experience migrating from AAS to Power BI semantic models on Databricks.
• Knowledge of commercial or finance reporting.

Details

• Location: Pune, India.
• The team works across Denmark and India and is globally distributed.