Azure Data Operations Engineer

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Azure DataOps Engineer

The opportunity

We are seeking a hands-on and motivated Azure DataOps Engineer to support our cloud-based data operations and workflows. This role is ideal for someone with strong foundational knowledge of Azure data services and data pipelines who is looking to grow in a fast-paced environment. You will work closely with senior engineers and analysts to manage data pipelines, ensure data quality, and assist in deployment and monitoring activities.

Your key responsibilities

• Monitor and support Azure Data Factory (ADF) pipelines and Informatica CDI data ingestion jobs
• Help troubleshoot data movement and transformation issues across Azure Data Lake and Databricks
• Participate in incident resolution, root cause analysis, and reporting of recurring data issues
• Assist in small enhancements or change requests related to data workflows
• Execute deployment activities using Azure DevOps and maintain operational runbooks
• Collaborate with senior engineers and business teams to support ongoing operations and improvements
• Maintain documentation for SOPs, known issues, and common fixes
• Participate in rotational on-call or shift-based support for business-critical operations

Skills and attributes for success

• Strong interest in data engineering and application support with a cloud-first mindset
• Good understanding of Azure data services and ETL concepts
• Analytical thinker with the ability to troubleshoot and resolve operational issues
• Self-driven and proactive with an eagerness to learn and grow
• Ability to follow instructions, collaborate with peers, and communicate effectively with stakeholders
• Detail-oriented approach to documentation and process adherence

To qualify for the role, you must have

• Bachelor’s degree in a relevant field (Computer Science, Engineering, Data Analytics, or related) or equivalent work experience.
• 2–4 years of experience working across modern data ecosystems
• Hands-on experience in providing application management support (incident resolution, enhancements, monitoring, and optimization).
• Experience in Informatica CDI (or other ETL tools), Azure Data Factory, Azure Data Lake, Databricks (reading and running existing notebooks)
• Experience in root cause analysis skills across data pipelines, storage layers, and reporting.
• Good stakeholder collaboration skills to translate business needs into scalable technical solutions.
• Understanding of data governance, performance tuning, and cloud-based data architecture best practices.
• Experience in global delivery models and distributed teams.
• Willingness to work in rotational shifts or provide on-call support during business-critical periods

Technologies and Tools

Must haves

• Working knowledge of Azure Data Factory, Data Lake, and Synapse
• Exposure to Azure Databricks – ability to understand and run existing notebooks
• Understanding of ETL processes and data flow concepts
• Familiarity with Azure Monitor and Log Analytics for pipeline monitoring
• Experience supporting DevOps deployments or familiarity with Azure DevOps concepts.
• Basic scripting knowledge in Python or PySpark for data processing or automation tasks

Good to have

• Experience integrating data from a variety of sources including ERP, CRM, POS, and third-party APIs
• Familiarity with DevOps/CI-CD pipelines in a data engineering context
• Experience in industries such as retail, finance, or consumer goods
• Certifications such as:
  • Informatica Certified Developer
  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer
• Exposure to Informatica CDI or any other data integration platform
• Experience in writing SQL for querying and analyzing structured data

What we look for

• Enthusiastic learners with a passion for data op’s and practices.
• Problem solvers with a proactive approach to troubleshooting and optimization.
• Team players who can collaborate effectively in a remote or hybrid work environment.
• Detail-oriented professionals with strong documentation skills.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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