Data Assurance Analyst
Skills
About This Role
Overview
- DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking.
- Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
- At DeepLight, we don't believe in "off-the-shelf" fixes.
- We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.
- From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
- At DeepLight AI, we believe data assurance is more than a checklist—it is the foundation of trust for intelligent enterprise systems.
- As a Data Assurance Analyst, you will be the hands-on guardian of this trust.
- While the Lead designs the strategy, you are responsible for the holistic execution across our Medallion architecture.
- You won’t just be "checking boxes"; you will be thinking critically about how data flows from source to insight, ensuring that every transformation maintains the integrity required for high-stakes financial services environments.
- Your responsibilities as the Data Assurance Analyst include;
- Deploying Soda Core checks across Bronze, Silver, and Gold layers, analysing how quality at the source impacts downstream AI and analytics.
- Performing rigorous source-to-target reconciliation and checksums to ensure no "silent failures" occur during complex AWS Glue or Data Factory migrations.
- Maintaining data quality scorecards within OpenMetadata and support the operationalization of Data Contracts between producers and consumers.
- Monitoring automated alerts, perform initial root-cause analysis on data drift or schema failures, and collaborate with squads to implement permanent countermeasures.
- Maintaining "human-centric" runbooks and documentation that make data quality standards accessible to both technical and non-technical team members.
- Working alongside Data Engineering squads to embed automated validation checks into existing live data flows.
- *As an AI consultancy, our greatest asset is the expertise of our people.*
- *While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.*
- *We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.*
- *You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.*
- *If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.*
Requirements
- What we need from you:
- 2–4 years of experience in Data Engineering, Data Analysis, or specialized Data QA roles.
- Practical understanding of Lakehouse architectures and the Medallion (Bronze/Silver/Gold) design pattern.
- Strong proficiency in SQL and Python for data validation and script automation.
- Hands-on experience with AWS services (specifically S3, Glue, and Athena) or similar cloud data stacks.
- A degree in Computer Science, Data Science, Information Systems, or a related field.
- The ability to look beyond a failed check to understand the root cause and its broader business impact.
- An uncompromising eye for data accuracy, ensuring that referential integrity and checksums are perfectly aligned.
- Comfortable working in fast-paced environments using Jira and participating actively in Scrum ceremonies.
- The ability to communicate technical issues clearly and constructively, fostering a culture of quality within the engineering team.
- It would also be great if you have:
- Experience in a client-facing environment, with the ability to articulate the "why" behind data assurance to various stakeholders.
- Prior exposure to OpenMetadata or other lineage and metadata management tools.
- A proactive drive to identify repetitive tasks and develop scripts to increase team efficiency.
- Familiarity with the specific data challenges found within the Financial Services or Banking sectors.
**Benefits** **Benefits & Growth Opportunities:**
- Competitive salary
- Comprehensive health insurance
- Professional development and certification support
- Opportunity to work on cutting-edge AI projects
- Flexible working arrangements
- Monthly employee Incentive program
- Career advancement opportunities in a rapidly growing AI company
- This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.
- The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
- At DeepLight AI, we recognise that diversity drives innovation.
- We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
- Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
- If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.
- This information will be kept strictly confidential and will not impact hiring decisions.
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