Posted at: 6 February
Senior Data Engineer (Remote, Full-Time) [IS001]
Company
Smart Working Solutions is a London-based B2B staffing firm specializing in providing remote software developers to businesses in the technology sector, targeting a global market.
Remote Hiring Policy:
Smart Working Solutions embraces remote work and hires from various regions, including locations such as Pakistan, while integrating remote developers into client teams.
Job Type
Full-time
Full-timeAllowed Applicant Locations
India, Pakistan
India, PakistanSalary
$100,000 to $150,000 per year
$100,000 to $150,000 per yearJob Description
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.