Join a growing data and engineering team to build and scale a modern market intelligence platform. Design, develop, and maintain data pipelines, ETL workflows, web scrapers, and cloud-based data solutions. Collaborate with cross-functional teams to support business intelligence and reporting needs.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Data Engineer
📍 Location: London, UK (Hybrid Working)
đź•’ Job Type: Full-Time
🚀 Visa Sponsorship: Considered for the right candidate
We are looking for a talented Data Engineer to join a growing data and engineering team, helping to build and scale a modern market intelligence platform.
This is a hands-on role where you will design, develop, and maintain data pipelines, ETL workflows, web scrapers, and cloud-based data solutions, supporting the collection and transformation of millions of data points across multiple markets.
You will work closely with data, engineering, and business stakeholders to deliver reliable, high-quality datasets that drive decision-making and innovation.
- Design, build, and maintain scalable ETL/ELT pipelines using Python and cloud technologies
- Develop and maintain web scraping solutions to collect large-scale data efficiently
- Create and optimise SQL transformation workflows and analytics-ready datasets
- Build and support LLM-powered workflows within data pipelines
- Implement data validation, quality control, and monitoring frameworks
- Collaborate with cross-functional teams to support business intelligence and reporting needs
- Improve performance, reliability, and scalability of data systems
- Stay up to date with emerging technologies and best practices in data engineering
Searching for Data Science roles that provide visa sponsorship? Connect with international employers through Data Science Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
- 3+ years of experience as a Data Engineer or similar role
- Strong experience with Python and production-grade data pipelines
- Advanced SQL skills with experience optimising complex queries
- Experience working with cloud platforms such as GCP, AWS, or Azure
- Experience with web scraping technologies (Playwright, Scrapy, or similar)
- Knowledge of Git, Docker, Linux, and CI/CD workflows
- Experience integrating APIs and modern data services into pipelines
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and collaboration abilities
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
- Experience with BigQuery, Dataform, Cloud Run, Firestore, or similar cloud services
- Knowledge of LLM APIs (OpenAI, Gemini, etc.) and AI-powered workflows
- Experience with data testing frameworks such as Pytest or Great Expectations
- Familiarity with Terraform or Infrastructure as Code (IaC) tools
- Experience with BI and visualisation platforms (Power BI, Tableau, Looker)
- Exposure to machine learning or data science environments
You will work with modern technologies including:
- Python, SQL, YAML
- Cloud Platforms (GCP/AWS/Azure)
- Docker, GitHub, GitHub Actions, Linux
- Big Data & ETL Tools
- LLM & AI Integrations
- Data Validation & Monitoring Frameworks
Interested in opportunities specifically in United Kingdom? Discover our dedicated Visa Sponsorship Jobs in United Kingdom page featuring roles from top employers in this location.
âś” Hybrid working model
âś” Opportunity to work on cutting-edge AI, automation, and data engineering projects
âś” Exposure to modern cloud and data technologies
âś” Collaborative and fast-growing environment
âś” Career progression and professional development opportunities
If you are passionate about data engineering, cloud platforms, automation, and AI-driven solutions, we would love to hear from you.
Apply now with your CV.
Similar Jobs
Explore other opportunities that match your interests
kennedys
Graduate Data Scientist/Analyst - 12-Month Programme
Revolut
Senior Product Data Scientist