Senior Data Engineer (Remote, Full-Time) [IS001]

About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the role

We’re looking for an experienced Senior Data Engineer to design, build, and optimise large-scale data solutions that power customer engagement, commerce, and analytics platforms operating at significant scale. In this role, you’ll work with terabyte-scale datasets and high-volume data systems, shaping data products that enable insight, performance, and data-driven decision-making across the organisation.

You’ll collaborate closely with Data Scientists, Software Engineers, Solution Architects, and business stakeholders, playing a key role in defining data architecture, pipeline design, and governance standards in a cloud-first environment.

Responsibilities:
• Lead the design and implementation of scalable ETL pipelines and data lakes in AWS
• Develop and optimise data architectures for terabyte-scale relational and distributed data systems
• Collaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics platforms and applications
• Translate non-technical business requirements into clear, actionable technical solutions
• Implement Infrastructure as Code (IaC) using Terraform to automate and standardise deployments
• Drive performance optimisation through indexing strategies, query tuning, and scalable data modelling
• Ensure strong data governance, security, compliance, and quality controls across all environments
• Automate workflows and enforce best practices for data quality, lineage, and reliability
• Provide peer review and QA support for data engineering deliverables
• Produce clear, structured documentation for data pipelines, architectures, and operational processes

Requirements:
• 5+ years of hands-on experience working with terabyte-scale databases and high-volume data systems
• Strong understanding of core data engineering principles, including: Logical and physical data modelling (normalisation & denormalisation), ETL design and orchestration, Performance optimisation and scalability, Data quality, governance, and security
• Advanced expertise in Microsoft SQL Server, including SSRS, SSIS, and SSAS
• Proficiency with AWS Cloud services such as EC2, S3, RDS, and Glue
• Experience using Terraform for infrastructure automation and deployment
• Strong ability to translate business and stakeholder requirements into technical designs
• Solid documentation skills, producing clear and maintainable technical artefacts
• Advanced MS Excel skills (complex formulas, PowerPivot, VBA)
• Experience using Python for data wrangling, automation, or pipeline support
• Exposure to working across multiple cloud technologies and environments
• Experience with BI tools such as Power BI and/or Tableau
• Familiarity with AWS governance frameworks and compliance standards
• Degree in a quantitative discipline (Computer Science, Engineering, Mathematics, or similar)

Nice to have:
• Domain experience in retail, banking, CRM, loyalty platforms, or digital marketing
• Experience supporting data products used by customer-facing or commercial teams
• Background working in fast-growing, data-driven or platform-based environments

Benefits:
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters:Mentorship, community, and forums where ideas are shared
• True Belonging: A long-term career where your contributions are valued

At Smart Working, you’ll never be just another remote hire.

Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

If that sounds like your kind of place, we’d love to hear your story.