EN-Data Engineer

Data Engineer

Location: Remote (UK-based preferred, if applicable)

Employment Type: Full-Time, 6-Month Contract

About the Role

We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries.

You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment.

Key Responsibilities

Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources.

Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB.

Develop semantic data models using RDF, OWL, and SPARQL.

Integrate structured, semi-structured, and unstructured data into knowledge graph systems.

Ensure data quality, security, and compliance with governance standards.

Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases.

Monitor, troubleshoot, and enhance data pipelines for performance and reliability.

Contribute to best practices in data engineering, documentation, and data architecture standards.

What You Bring

Required Experience & Skills

Bachelor's or master's degree in computer science, Data Science, Engineering, or related field.

3+ years of experience in data engineering, with strong exposure to knowledge graph technologies.

Strong proficiency in Python and SQL.

Experience with graph query languages such as SPARQL and Cypher.

Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar).

Experience working with cloud platforms such as AWS and/or Azure.

Strong data modelling, analytical, and problem-solving skills.

Excellent communication skills with the ability to explain complex technical concepts clearly.

Proven ability to work collaboratively in distributed, global teams.

Desirable Skills

Experience with large-scale distributed data systems.

Familiarity with machine learning pipelines and graph analytics.

Understanding of data governance, metadata management, and semantic technologies.

Experience working in Agile delivery environments.

What We Offer

Fully remote working environment.

6-month contract with potential for extension.

Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation.

Exposure to cutting-edge knowledge graph and data engineering technologies.

Collaborative, inclusive, and international team culture.

Opportunities for professional development and learning.

Flexible working arrangements to support work-life balance.

Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive.

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon is an employment consultancy and operates as an equal opportunity's employer.

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