Linked-Data Specialist

ADLIB Recruitment | B Corp
Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

E-Commerce Operations Manager

Head of Artificial Intelligence

Lead Data Engineer

Machine Learning Engineer

Full Stack Engineer

Senior & Mid Level Roles Available

Build Data-Driven Solutions with Real Impact

  • Join a growing organization developing cutting-edge data marketplaces.
  • Work remotely with a collaborative, forward-thinking team.
  • Enjoy competitive salaries, excellent benefits, and flexible working arrangements.


Are you passionate about solving real-world challenges with data? We’re looking for talented Linked-Data Engineers to join a rapidly growing team delivering impactful, data-driven solutions for public and private sector clients.


What You’ll Be Doing

You’ll be involved in different areas from designing innovative data marketplaces to leveraging semantic technologies, you’ll help create scalable, cutting-edge systems that unlock the true potential of shared data.


As a Linked-Data Engineer, you’ll work closely with a multidisciplinary team to design, develop, and implement advanced linked-data solutions. Your role will include leveraging semantic web technologies to create innovative data solutions as well as collaborating in an agile environment to develop scalable, efficient systems.


You’ll be involved in engaging with stakeholders to communicate the value of linked data and guide them through the implementation process, so will be a confident presenter working to support the development of data marketplaces and self-serve linked data capabilities.


What Experience You’ll Need to Apply

We’re seeking candidates with varying levels of experience:

Essential:

  • Experience working with these tools, in a commercial environment: RDF, RDFS, SPARQL, OWL, JSON-LD
  • Common RDF vocabularies and ontologies (e.g., SKOS, FOAF, Schema.org)
  • Familiarity with modern software development practices, including agile, automated testing, and CI/CD
  • Experience with cloud platforms, particularly Azure (or AWS/Google Cloud)
  • Strong API development and usage skills

Desired:

  • Familiarity with newer technologies like RDF* and SHACL
  • Knowledge of C# or willing to use this moving forward
  • Experience with geospatial data and linked data integration


What You’ll Get in Return

For the Mid-Level role they’re offering a salary of up to £60,000, and for more Senior candidates they’re offering a salary of up to £100,000, which would be dependent on experience and aligning with the role requirements.


They also offer a strong pension scheme, medical insurance, additional health benefits as well as lots more perks. They’re also flexible and offer remote-first working, but we do require a UK based candidate for the occasional in-person meeting to a client-site.


What’s Next?

Apply now with your updated resume, and we’ll review your application as soon as possible. For any questions, feel free to ping Tegan an email!

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.