Careers
Build your career on
enterprise data craft
We're a team of engineers, architects, and consultants who work on genuinely complex data problems for some of the world's largest organisations. If that sounds interesting, read on.
Why QuantiByteX
What makes this a good place to grow
Remote-friendly
Most roles offer flexible remote working. We care about output, not office hours.
Certification budget
£2,000 / year per person for certifications, conferences, and learning materials.
Real enterprise problems
Every project is a genuine enterprise challenge — no toy projects, no busy work.
Senior mentorship
Direct access to engineers who have built systems processing billions of records.
Competitive compensation
Market-rate salaries reviewed annually, plus performance bonus.
Health & wellbeing
Private health insurance, mental health support, and generous leave policies.
Open Positions
6 open roles across London & Islamabad
Senior Data Engineer
Islamabad, PK / Remote
Lead delivery of Microsoft Fabric, Azure Data Factory, and Databricks solutions for enterprise clients. Own architecture decisions, mentor junior engineers, and work directly with client stakeholders.
Requirements
- 5+ years in data engineering roles
- Production experience with Microsoft Fabric or Azure Data Factory
- Strong Python and/or Spark skills
- Experience with Databricks or Delta Lake
- Comfortable owning client-facing delivery
Nice to Have
- Azure Data Engineer Associate certification
- dbt experience
- Financial services or healthcare background
Lead Machine Learning Engineer
Islamabad, PK / Remote
Design and deliver production AI/ML systems — from agentic AI orchestration to large-scale predictive models. You will define ML architecture for client engagements and contribute to QuantiByteX's AI practice growth.
Requirements
- 4+ years building ML systems in production
- Hands-on experience with Azure ML or Databricks MLflow
- Strong Python (scikit-learn, XGBoost, PyTorch)
- Familiarity with LangChain or similar agent frameworks
- Able to communicate ML concepts to non-technical stakeholders
Nice to Have
- Azure AI Engineer Associate certification
- Experience with RAG architectures
- MLOps pipeline design experience
Cloud Solutions Architect
Islamabad, PK / Remote
Architect and deliver cloud data platforms on Azure, AWS, and GCP. Own infrastructure-as-code delivery, cloud migration execution, and cost optimisation engagements for global enterprise clients.
Requirements
- 5+ years in cloud architecture roles
- Deep expertise in Azure and/or AWS
- Production Terraform or Bicep experience
- Cloud migration project experience (lift-and-shift + re-architect)
- Strong understanding of networking, security, and IAM
Nice to Have
- Azure Solutions Architect Expert certification
- AWS Solutions Architect Associate or Professional
- FinOps or cost optimisation experience
Data Analytics Consultant
London, UK
Work with client stakeholders to design and build Power BI semantic models, executive dashboards, and self-service analytics platforms. Bridge the gap between data engineers and business users.
Requirements
- 3+ years in BI/analytics roles
- Expert-level Power BI (DAX, data modelling, RLS)
- Azure Analysis Services or similar semantic layer experience
- Ability to run requirements workshops with business stakeholders
- SQL proficiency
Nice to Have
- Power BI Data Analyst Associate certification
- dbt experience
- Looker or Tableau exposure
Junior Data Engineer
Islamabad, PK / London, UK
Start your enterprise data engineering career at QuantiByteX. You'll work alongside senior engineers on real client projects — building pipelines, writing dbt models, and learning how production-grade data platforms are designed.
Requirements
- Solid Python or SQL fundamentals
- Understanding of ETL concepts and data pipelines
- Eagerness to learn cloud platforms (Azure, AWS, or GCP)
- Good communication and teamwork skills
- Degree in Computer Science, Engineering, Mathematics, or equivalent experience
Nice to Have
- Any Azure or AWS foundational certification
- Experience with dbt, Airflow, or Spark
- Personal or academic data projects on GitHub
Engagement Manager
London, UK
Own end-to-end client delivery for 2–4 concurrent data engineering or AI engagements. You'll manage scope, timelines, and stakeholder relationships — ensuring QuantiByteX delivers on its outcome commitments every time.
Requirements
- 5+ years in consulting or technology project delivery
- Experience managing data or cloud transformation programmes
- Strong commercial acumen and client relationship skills
- Ability to navigate complex enterprise stakeholder environments
- PMP, PRINCE2, or equivalent project management credential
Nice to Have
- Technical background in data engineering or cloud
- Financial services or healthcare client experience
- P&L ownership experience
Apply
Submit your application
Fill in the form below and our talent team will be in touch within 3 business days. If you don't see a role that fits, apply anyway — we hire for talent year-round.
You can also email your CV directly to careers@quantibytex.com — use the job title as your email subject (e.g. "Senior Data Engineer — Application").
Hiring Process
Application review
Within 3 business days
Intro call
30 min with talent team
Technical interview
60–90 min with engineers
Final interview
Meet the leadership team
Offer
Typically within 2 weeks
Questions?
Reach our talent team directly for any questions about open roles or life at QuantiByteX.
careers@quantibytex.com