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
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Job Description
Data Engineer
đź“Ť 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
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- 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
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- 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
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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.
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