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Mumbai · Hybrid · 2-5 Yrs · Sep 29
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Recruiter for this role: Britney Dias

Purpose of the job
Responsibilities
- Design, develop, and maintain robust data pipelines to ingest, transform, and load data into multiple data stores
- Collaborate closely with internal stakeholders to understand data requirements and deliver effective solutions
- Provide proactive, professional, and reliable technical support when required
- Participate in code peer reviews to improve code quality and ensure adherence to development standards
- Support, enhance, and maintain CI/CD pipelines for data solutions
- Stay current with emerging technologies and maintain strong technical awareness within the data engineering domain
- Be an active member of the VDX Data team, contribute to team dynamics, ways of working and assisting with improvement opportunities
- Provide regular and accurate reports of progress to Technical leads
- Build strong relationships with stakeholders with a view to providing high-value solutions within the business whilst keeping communication channels open at all times
- Maintain strong technical awareness and familiarity with new and upcoming technologies around Data Integration and Business Intelligence Analysis.
- Stay abreast of the industry and participate in external communities in order to keep up to date and offer the most informed position when defining or consulting on solution design
Qualifications
- Technical Skills
- Strong understanding of modern data architectures and data modelling principles
- Advanced programming expertise in Python and PySpark
- Extensive hands-on experience with AWS services, including Glue, Lambda, S3, SES, SNS, Athena, and EMR
- Solid working knowledge of Databricks applications
- Strong proficiency in SQL for data querying and transformation
- Familiarity with CI/CD practices for building and deploying data pipelines
- Hybrid work arrangement (work from home/office)
- 26 calendar days Annual Leave
- Health Insurance
- Maternity leave (6 months- Paid)
- Paternity leave (15 days- Paid)
- Proven ability to build and manage effective stakeholder relationships
- Strong passion for technology with a willingness to learn and adopt new tools, frameworks, and methodologies
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Job application FAQ
Last updated 30 September 2026
- How do I apply for Jr Data Engineer at Collinson Loyalty & Benefits?
- 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. Collinson Loyalty & Benefits may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Jr 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 Jr Data Engineer remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Jr Data Engineer role at Collinson Loyalty & Benefits?
- This is a mid-level Jr Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.