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

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