Data Virtualization Engineer

Description
At Ashurst Perkins Coie, we're helping shape the future economy. With a global team of more than 3,500 legal professionals across 52 offices, we partner with leading organisations to solve complex challenges across a diverse range of industries, with a distinct strength in technology, energy & infrastructure, and financial services. Our people work on market-leading matters that drive innovation, growth, and transformation around the world. For Ashurst Perkins Coie, innovation is our tradition.
What makes Ashurst Perkins Coie a great place to work?
Flexible work options - part-time, working from home and additional leave
Health and wellbeing benefits, gym membership, and discounted corporate health plans
Career advancement - client secondment opportunities, global opportunities, and award-winning Learning & Development programs
The Opportunity
The Data Virtualization Engineer role is intended for candidates with two to three years of hands-on experience in SQL, reporting, analytics, data engineering, or database development. This role supports the development and operation of the firm's governed enterprise data hub by integrating enterprise data sources, building reusable virtual data products, validating data outputs, and applying data governance and security requirements. The position helps provide reliable access to trusted, well-structured data for business operations, analytics, applications, automation, and AI use cases, while developing expertise in data architecture, modeling, metadata, APIs, governance, and AI-ready data practices.
A full job description including a breakdown of responsibilities can be found attached to the role on our careers page http://careers.ashurstperkins.com/
We are interested in hearing from people who have:
Bachelor's degree in information systems, computer science, data analytics, engineering, mathematics, or a related field, or equivalent combination of education, training, and experience. Relevant certifications in cloud, data analytics, database fundamentals, or data engineering are preferred but not required.
Two to three years of hands-on experience working with SQL, relational databases, reporting, analytics, data integration, or data engineering. Experience should include writing and troubleshooting SQL queries, validating data across sources, and working with business or technical requirements.
Exposure to data engineering, business intelligence, analytics, cloud data platforms, APIs, or ETL/ELT concepts.
Experience with tools such as Denodo, Presto, Microsoft Power BI, or similar data access platforms.
Strong analytical and problem-solving skills with attention to detail when validating data and documenting results.
Ability to communicate clearly with technical and non-technical stakeholders, ask clarifying questions, and escalate issues appropriately.
We value diverse perspectives at Ashurst Perkins Coie, so even if you don't feel you meet all of the requirements, we still encourage you to apply.
If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, please contact: globalresourcing@ashurstperkins.com for a confidential conversation.
If you are interested in this opportunity, please apply directly to Ashurst Perkins Coie. We prefer to talk with you personally and are not accepting applications from recruitment agencies.

Work arrangement
Yes