Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

SRG Network
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer | Blockchain | London | Hybrid

Data Engineer with a keen focus on blockchain and distributed ledger technology required for a not-for-profit organisation focused on developing the blockchain ecosystem.

The Data Engineer will be pivotal in managing, curating, optimising, and securing datasets specifically related to cryptocurrency discussions across various platforms. The ideal candidate will be adept in web scraping, data quality assurance using AI, data integration, ensuring data security and compliance, and maintaining detailed documentation.

What’s on offer to you?

Work with leading academics Work with leading blockchain technology Be part of an exciting new project with AI

What You Will Be Doing

Data Collection: Identify relevant chat sources, groups, and forums on platforms discussing particular topics. Maintain and develop web scraping tools or APIs for periodic data extraction. Data Quality Assurance: Develop and implement AI-based procedures for quality control of data and data sources to eliminate inaccuracies and anomalies. Create tools for monitoring data sources for changes and updates, adapting data collection and cleaning processes accordingly. Data Integration: Collaborate with data scientists and analysts to integrate collected data into various projects and analysis tools. Ensure smooth data flow and integration with other data sources within the organisation. Data Security and Compliance: Uphold the security and privacy of collected data in compliance with relevant regulations and company policies. Documentation: Maintain clear and comprehensive documentation of data sources, collection methods, and workflows. Produce reports and documentation for both internal and external stakeholders as required. Monitoring and Reporting: Develop and maintain systems to monitor the performance and health of data collection processes.

What You Will Need to Succeed in This Role

Bachelor’s degree in Computer Science, Data Science, or a related field. Knowledge of Data Structures and Databases is a must. Demonstrable experience in data engineering or a similar role, with a focus on web scraping and data collection. Proficient in programming languages such as Python, SQL. Knowledge in TypeScript is a must. Familiarity with blockchain technology. Knowledge of data privacy laws and compliance requirements. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred: Advanced degree in a relevant field. Preferred: Experience with big data technologies and cloud services. Preferred: Proficiency in AI and machine learning techniques for data quality assurance.

Keywords: Data Engineer | AI | Blockchain | SQL | Typescript

Job Information

Job Reference: Salary: Salary From: £0Salary To: £0Job Industries: ITJob Locations: London, United KingdomJob Types: Permanent

Apply for this Job

Data Engineer

Data Engineer | Blockchain | London | Hybrid

Data Engineer with a keen focus on blockchain and distributed ledger technology required for a not-for-profit organisation focused on developing the blockchain ecosystem.

The Data Engineer will be pivotal in managing, curating, optimising, and securing datasets specifically related to cryptocurrency discussions across various platforms. The ideal candidate will be adept in web scraping, data quality assurance using AI, data integration, ensuring data security and compliance, and maintaining detailed documentation.

What's on offer:

Work with leading academics Work with leading blockchain technology Be part of an exciting new project with AI

What you'll be doing:

Data Collection: Identify relevant chat sources, groups, and forums on platforms discussing particular topics. Maintain and develop web scraping tools or APIs for periodic data extraction. Data Quality Assurance: Develop and implement AI-based procedures for quality control of data and data sources to eliminate inaccuracies and anomalies. Create tools for monitoring data sources for changes and updates, adapting data collection and cleaning processes accordingly. Data Integration: Collaborate with data scientists and analysts to integrate collected data into various projects and analysis tools. Ensure smooth data flow and integration with other data sources within the organisation. Data Security and Compliance: Uphold the security and privacy of collected data in compliance with relevant regulations and company policies. Documentation: Maintain clear and comprehensive documentation of data sources, collection methods, and workflows. Produce reports and documentation for both internal and external stakeholders as required. Monitoring and Reporting: Develop and maintain systems to monitor the performance and health of data collection processes.

Data Engineer | AI | Blockchain | SQL | Typescript

Job summary:

Key requirements:

Bachelor’s degree in Computer Science, Data Science, or a related field. Knowledge of Data Structures and Databases is a must. Demonstrable experience in data engineering or a similar role, with a focus on web scraping and data collection. Proficient in programming languages such as Python, SQL. Knowledge in TypeScript is a must. Familiarity with blockchain technology. Knowledge of data privacy laws and compliance requirements. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred: Advanced degree in a relevant field. Preferred: Experience with big data technologies and cloud services. Preferred: Proficiency in AI and machine learning techniques for data quality assurance.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.