National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

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.
National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.