Orchestration in Azure Data Factory.
Semantic models in Azure Analysis Services (AAS) and Power BI / Fabric, which our dashboards and reports are built on.
We are evolving our semantic layer and using AI assistants and agents in our engineering work. You will help shape both.
Key Responsibilities
Build and own the data layer
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.
Keep it reliable
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.
Make it smarter
Use AI assistants and agents in everyday engineering work, for example for code, testing and documentation, and help make our 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.
Grow the team
Coach Reporting Analysts and new colleagues on engineering good practice.
Share knowledge openly, so that no capability depends on a single person.
What We’re Looking For
You don’t need to tick every box. If you match most of the core requirements, we would like to hear from you.
Technical skills
Backend engineering: hands-on experience with Azure Databricks (SQL/PySpark), ADLS and Azure Data Factory.
Semantic layer: hands-on experience with Azure Analysis Services and Power BI / Fabric modelling (including DAX).
Core languages: strong SQL and Python.
AI: first hands-on experience using AI, such as coding assistants or agents, to support your work, and the curiosity to go further.
Nice to have: Dremio or similar query layers, MDX, experience migrating from AAS to Power BI semantic models on Databricks, and knowledge of commercial or finance reporting.
How you work
You explain technical trade-offs clearly to non-technical stakeholders and push back constructively on scope.
You turn ambiguous requests into clear requirements and scalable solutions.
You work well in a globally distributed team, with clear written communication and handovers.
You take ownership end to end, you mentor others, and you share knowledge generously.
You are comfortable with Agile ways of working and tools such as Jira.
Qualifications
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.
What We Offer
End-to-end ownership of a data stack, with a direct line to the product owners and business users who rely on it.
Visible impact: data used by Commercial leadership and area teams around the world.
Hands-on adoption of AI and agents in your engineering work.
A learning-focused environment with a clear career framework, defined skills and proficiency levels by job level.
The chance to work in an integrated team where data engineering and reporting are built as one product.
Note: The position can be based in either Pune or Bangalore.
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
