Atrium
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Staffing, Recruitment & Subcontracting · 51 to 200 Employees · London, United Kingdom
Atrium, a pioneering WBENC-certified organization, delivers workforce management and talent acquisition solutions. Informed by people, process and technology, their goal remains to enhance the candidate experience and elevate each unique employer brand. The firm’s expertise includes nationwide temporary and direct hire staffing, payrolling services, independent contractor compliance, managed service provider (MSP) programs and intern program design. As a champion of supplier diversity initiatives, Atrium has been recognized on the list of 2018 Women Presidents’ Organization’s 50 Fastest-Growing Women-Led Companies in North America, on the Crain’s New York Business List of Largest Women-Owned Firms and has garnered top honors on the Inc. 5000, as well as DiversityBusiness.com’s top Women, Diversity and Privately Held firms lists. Please visit www.atriumstaff.com for more information.
Hiring: Engineering
What employees say
+ it was good experience to work here
− no cons as per my experience
More reviews on the company profile.
Job description
Overview
Take your career to the next level with the only consulting firm born in AI and delivering with AI.
Responsibilities
- Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Lead and mentor both onshore and offshore development teams, creating a collaborative environment.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, DBT, Python, AWS, and Big Data tools. Development of ELT processes to ensure the timely delivery of required data for customers.
- Implement Data Quality measures to ensure accuracy, consistency, and integrity of data.
- Design, implement, and maintain data models that can support the organization's data storage and analysis needs.
- Deliver technical and functional specifications to support data governance and knowledge sharing.
- Bachelor's degree in Computer Science, Software Engineering, or equivalent combination of relevant
Qualifications
- Our recruitment process is highly personalized. Some candidates complete the hiring process in one week, others may take longer as its important we find the right position for you. It's all about timing and can be a journey as we continue to learn about one another. We want to get to know you and encourage you to be selective - afterall, deciding to join a company is a big decision!
- Atrium is an Equal Opportunity Employer. We evaluate every candidate on merit, regardless of gender, caste, religion, or disability status. In line with our Equal Opportunity Policy under the Rights of Persons with Disabilities Act, 2016, candidates with disabilities may request reasonable accommodations at any stage of the hiring process. To request an accommodation, reach out to us at hidden_email. .
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Job application FAQ
Last updated 13 October 2026
- How do I apply for Lead Snowflake Data Engineer at Atrium?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Atrium may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Snowflake Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Snowflake Data Engineer remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this Lead Snowflake Data Engineer role at Atrium?
- This is a lead Lead Snowflake Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.