Live opening · Posted 1 day ago

Senior Data Engineer - Enterprise Data Team

Quantium · Hyderabad, Telangana, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyQuantium
LocationHyderabad, Telangana, India (Hybrid)
Work modeHybrid
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Who is Quantium?
Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.
How will you make an impact?
Delivery & Engineering
Write production-quality code aligned to team standards, including appropriate unit and integration tests
Design and implement data pipelines that ingest, transform, and serve large-scale structured and unstructured datasets
Review code and test cases produced by others, ensuring changes satisfy business requirements, follow best practices, and integrate cleanly with the existing codebase
Provide constructive feedback to other team members on code quality, design patterns, and testing approaches
Collaborate with other Lead and Senior Engineers to produce high-level designs and technical architectures for larger pieces of work
Validate technical designs and estimates produced by other team members
Merge reviewed code into release branches, resolve conflicts, and manage deployments to production and non-production environments
Operations & Reliability
Troubleshoot production issues and raise / prioritise bug tickets to drive resolution
Proactively monitor pipeline health, data quality, and system performance — acting to report and resolve issues before they impact downstream consumers
Provide support for periodic ETL processes that run outside standard Australia business hours (aligned to Indian time zones), ensuring SLAs are met
Planning & Collaboration
Work with business stakeholders and technical leads to define, scope, and estimate new epics
Contribute to backlog refinement sessions, breaking down epics into well-defined user stories that deliver incremental business value
Work closely with Product Owners to ensure the backlog is prioritised to maximise business value while managing technical debt
Contribute to sprint planning, daily stand-ups, sprint reviews, and retrospectives to maintain a culture of continuous improvement within the squad
Mentoring & Development
Coach and mentor more junior engineers to support their technical growth and professional development
Support the Lead Data Engineer in identifying development opportunities and aligning work assignments to team members' longer-term career objectives
Core Experience
The superpowers you'll be bringing to the team:
4+ years of experience designing, developing, and implementing end-to-end data solutions (storage, integration, processing, access) on Azure Platform or a comparable cloud platform
Strong proficiency in SQL and Python for data engineering workloads
Strong understanding of Infrastructure and Security around the data platform. Experience in Terraform or a comparable tooling.
Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data
Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions)
Hands-on experience with ADF, SQL Server (or equivalent tools on other cloud platforms)
Familiarity with version control (Git) and CI/CD practices
Understanding of GNU/Linux systems and shell scripting (Bash)
Bachelor's degree in Computer Science, Information Technology, or a related discipline
Comfortable working in a fast-paced agile development environment
Strong problem-solving and analytical skills
Good written and verbal communication skills in English
Desirable
Familiarity with containerisation technologies (e.g. Docker, Kubernetes)
Exposure to data quality frameworks, data observability tooling, or data governance practices
Proficiency with AI-assisted development tooling (e.g. GitHub Copilot, Claude Code, Cursor) and a demonstrated ability to incorporate these tools thoughtfully into day-to-day engineering workflows to improve productivity and code quality
Experience working with cross-functional stakeholders across multiple time zones
Prior experience mentoring junior engineers in a squad or team setting
Commercial awareness, with the ability to connect technical work to business outcomes
What could your Quantium Experience look like?
Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions – but it also means you can think big, outside the box and push your problem-solving skills to the max.
By Joining The Quantium Team, You’ll Get To
Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own.
Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners).
Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank.
But wait, there’s more!
We’ve got some pretty sweet perks: (refer to benefits doc. for full list and select the benefits most applicable to this role, max 3 bullets)
Flexible work arrangements: Achieve work life balance at your own pace with hybrid and flexible work arrangements.
Continuous learning: Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice.
Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year.
Apply now and let's forge a better, more intelligent world together!
Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.

Work arrangement
Hybrid

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