Semantic Engineer
Location: Remote - must be UK based
Work Pattern: Fixed Term Contract
Security Clearance: BPSS
The Company:
At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.
We are seeking a talented Semantic Engineer to support key Proof-of-Concepts (PoCs) in knowledge graph initiatives as part of our Data Mesh Programme. This role will be pivotal in advancing our capabilities within Generative AI (GenAI) and fostering semantic data strategies that align with cutting-edge advancements in the field.
Key Responsibilities:
- Design, build, and optimise semantic web solutions using modern technologies.
- Develop and manage ontologies, taxonomies, and controlled vocabularies to enhance data interoperability.
- Implement RDF data formats and construct SPARQL queries for querying semantic data.
- Collaborate with data engineering teams to create robust data pipelines, write SQL queries, and manage ETL workflows.
- Leverage Python for semantic data applications and automation tasks.
- Apply DevOps best practices, including CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code tools (e.g., CloudFormation, Terraform).
- Develop and deploy containerised applications using Docker.
Qualifications:
- Proven experience with the Semantic Web technology stack, including RDF and SPARQL.
- Hands-on expertise in designing and managing ontologies, taxonomies, and controlled vocabularies.
- Solid data engineering skills, particularly with SQL and ETL processes.
- Proficiency in Python for data engineering and automation tasks.
- Familiarity with DevOps practices such as CI/CD, source code version control, infrastructure-as-code, and containerisation.
Nice to Have:
- Experience in operations domains such as Supply Chain or Manufacturing.
- A background in Life Sciences or familiarity with related data challenges.
Diversity & Inclusion:
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:
- Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
- Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.
- Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
- By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.
What Happens Next?
Our Talent Acquisition team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.
Top Skills
What We Do
Amber Labs is a partnership of highly-skilled consultants and technologists.
We specialise in the evolution of Data Engineering, Cloud and Analytics.
We focus on delivering value from our client’s data using innovative approaches that reduce risk and delivery time, and that we are constantly improving through R&D.
Amber Labs was founded on three key principles:
An employee first internal culture, through diverse investment and exciting opportunities for our team, and a partnership structure ensuring everyone has an opportunity to share in the success of Amber Labs.
Persistent analysis to identify opportunities to develop artefacts, accelerators and automation that allow rapid deployment of highly-technical solutions to the cloud or on-premise for our clients.
Consistent investment into our ADM (Amber Labs Delivery Methodology -underpinned by Agile Methodology) to ensure we maximise velocity, quality and value
