---
title: 'Senior Data Engineer (Contract, Full-Time) [HR208] (PK) at Smart Working Solutions'
canonical: 'https://feeny.ai/job/senior-data-engineer-contract-full-time-hr208-pk-smart-working-solutions-09addsqdjbn3'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Engineer (Contract, Full-Time) [HR208] (PK) at Smart Working Solutions

- **Company:** Smart Working Solutions
- **Location:** Pakistan
- **Employment:** part-time
- **Work type:** remote
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/smart-working-solutions/a3fa4049-9d32-45f2-86dd-4cc5effeba5c

## Job 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

As a Senior Data Engineer, you’ll build and scale the data infrastructure powering an AI platform that automates operations for property management businesses. You’ll design real-time data pipelines, analytics systems, vector databases and ML data workflows, ensuring reliable and scalable data solutions. Working closely with AI, backend, product and leadership teams, you’ll shape the platform’s data architecture and engineering standards. As the first senior data hire, you’ll also define the data function, establish best practices and help build the team as the company grows.

## Responsibilities

- Architect and build scalable data pipelines and infrastructure to support AI and product systems.
- Design and maintain data ingestion, transformation and storage architectures for operational and AI workloads.
- Develop and manage batch and real-time data pipelines.
- Build and optimise systems for vector search, retrieval and machine learning data pipelines.
- Ensure data reliability, security and governance across the platform.
- Collaborate with AI and backend engineering teams to support training, inference and product features.
- Implement monitoring, observability and data quality frameworks.
- Optimise the performance of large-scale datasets and query systems.
- Contribute to technical architecture decisions and long-term data strategy.
- Act as the founding data hire, defining culture, standards and the hiring bar for the data function as it scales.
- Partner directly with founders and product leadership to translate data capabilities into product decisions.

## Requirements

- 7+ years of professional experience, with the majority of that experience in dedicated data engineering roles.
- Strong experience designing and building data pipelines and distributed data systems.
- Experience working with relational databases, with PostgreSQL preferred, although MySQL or similar is acceptable.
- Experience working with NoSQL databases.
- Experience with vector databases used in modern AI systems.
- Strong programming experience in Python.
- Demonstrated ability to make and justify architectural decisions, rather than only implementing them.
- Experience building scalable backend systems.
- Experience designing data models and storage architectures.
- Strong understanding of data processing performance and optimisation.
- Experience with some of the following data frameworks and infrastructure technologies is highly desirable: Apache Spark, Apache Airflow, Kafka, and Elasticsearch or OpenSearch.
- Experience with relevant database technologies is highly desirable, including PostgreSQL, MongoDB, and vector databases such as Qdrant, Milvus or pgvector.
- Experience with Python data-processing libraries such as Pandas or Polars is highly desirable.

## Nice to Have

- Experience working on AI or machine learning platforms.
- Familiarity with stream processing and event-driven architectures.
- Experience with cloud infrastructure such as GCP, AWS or Azure.
- Experience working in high-growth startups or early-stage companies.

## About Smart Working Solutions

## Company Overview
- **One-liner**: Smart Working provides a "Tech Talent as a Service" model, delivering rigorously vetted remote software engineers and AI specialists who are fully embedded into clients’ teams.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: London, United Kingdom
- **Founded**: Not publicly available
- **Founders**: Oli Rowse (Co-Founder), Max Rowse (Co-Founder), Julian Rowse (Director & Founder)

## Core Business
- **Primary industry**: IT Services and IT Consulting
- **Target customers**: B2B – mid‑market to enterprise clients in the UK and USA seeking to scale engineering teams without traditional hiring overhead
- **Mission / purpose**: "Building high‑performance global engineering teams without the friction, risk, or overhead of legacy hiring models."

## Products & Services
- **Tech Talent as a Service (TTaaS)**: A fully managed service that includes vetting, onboarding, payroll, HR administration, performance management, compliance, and continuous AI training. Engineers work the client’s hours, join their standups, and integrate into existing Slack/communication channels. Pricing starts at ~£20–£25/hour all‑inclusive.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: 123 employees (78% year‑over‑year growth); serves 60+ clients in the UK and USA
- **Notable Investors / Partners**: Not publicly listed
- **Growth Signals**:
  - 78% headcount growth YoY
  - Average engineer tenure of 26 months (low churn for the industry)
  - Net Promoter Score (NPS) of 75
  - ISO 27001 certified
  - 4‑stage vetting process that admits only ~1% of ~100,000 monthly applicants
  - Continuous AI Academy training for all engineers

## Competitive Advantages
- **Rigorous vetting**: 4‑stage process (AI‑assisted screening, advanced technical assessments, communication tests, live technical interview) ensures top‑1% talent.
- **Full embedding**: Engineers work the client’s exact hours, attend meetings, and use the client’s tools – eliminating the disconnect typical of offshore outsourcing.
- **Low churn guarantee**: Average 26‑month tenure; if an engineer leaves, they are replaced at no extra cost.
- **All‑inclusive pricing**: Single monthly invoice covers vetting, onboarding, payroll, HR, compliance, performance management, and AI training.
- **Security & compliance**: ISO 27001 certified with comprehensive background screening.

## Strategic Focus
- Scaling the “Tech Talent as a Service” model to more clients while maintaining high quality and low churn.
- Continuous investment in AI training (AI Academy) to keep engineers ahead of emerging technologies.
- Expanding the client base beyond the UK and USA into other English‑speaking markets.

## Why Work Here
- **Culture & ratings**: Employer rating of 4.7/5 on LinkedIn (196 reviews) with strong scores for work‑life balance (4.7), compensation (4.5), culture (4.6), and career growth (4.5).
- **Remote‑first**: All roles are fully remote, with engineers distributed across 18 countries. The model supports full‑time, contractual, and part‑time engagements.
- **Stability & impact**: Engineers work directly with 60+ clients on meaningful products and receive continuous training in AI and modern tech stacks.
- **Support**: Dedicated Account Managers and Customer Success teams handle performance, compliance, and career development.
- **Perks**: All‑inclusive payroll handling, no lock‑in contracts (1‑month calibration + 6‑month minimum), and a replacement guarantee.

## Sources
1. [smartworking.io](https://smartworking.io/)
2. [linkedin.com](https://uk.linkedin.com/company/smartworkingsolutions)
3. [lever.co](https://jobs.lever.co/smart-working-solutions)
4. [simplify.jobs](https://simplify.jobs/c/Smart-Working-Solutions)

## Other roles at Smart Working Solutions

- [SEO Manager (Remote, Full - Time) [HR210]](https://feeny.ai/job/seo-manager-remote-full-time-hr210-smart-working-solutions-india-8ek58aj485e8) — India
- [Business Development Representative (Remote, Full-Time)](https://feeny.ai/job/business-development-representative-remote-full-time-smart-working-solutions-1rxrmqkb9h2y) — India
- [QA Engineer - Automation (Remote, Full-Time) [AS326]](https://feeny.ai/job/qa-engineer-automation-remote-full-time-as326-smart-working-solutions-india-g36zy4c1x7m1) — India
- [Senior Full Stack Developer – C# / Angular (Remote, Contract) [HR209] (PK)](https://feeny.ai/job/senior-full-stack-developer-c-angular-remote-contract-hr209-pk-smart-working-659gwd8cp9mr) — Pakistan
- [Senior Full Stack Engineer – C# & Angular (Remote, Contract) [HR209]](https://feeny.ai/job/senior-full-stack-engineer-c-angular-remote-contract-hr209-smart-working-28edxbb8xhrt) — India
- [Founding Engineer – Full-Stack (Remote, Full-Time) [AS324] (PK)](https://feeny.ai/job/founding-engineer-full-stack-remote-full-time-as324-pk-smart-working-solutions-1t5ne89ze4hh) — Pakistan
- [Founding Engineer – Full-Stack Generalist (Remote, Full-Time) [AS324]](https://feeny.ai/job/founding-engineer-full-stack-generalist-remote-full-time-as324-smart-working-hma46cht9ya5) — India
- [Sr. Symfony Engineer (Remote, Full-Time) - [HR191]](https://feeny.ai/job/sr-symfony-engineer-remote-full-time-hr191-smart-working-solutions-romania-111qr6pfmh0v) — Romania
- [Cloud Engineer - Frontend-Focused(Remote, Full-Time) [AS315] (PK)](https://feeny.ai/job/cloud-engineer-frontend-focused-remote-full-time-as315-pk-smart-working-r4fzc918czh7) — Pakistan
- [Senior Cloud Engineer - AWS (Remote, Full-Time) [AS314] (PK)](https://feeny.ai/job/senior-cloud-engineer-aws-remote-full-time-as314-pk-smart-working-solutions-qr7f0p543hb3) — Pakistan