At a Glance
- Tasks: Build and optimise data pipelines, design graph databases, and support analytics.
- Company: Join a global tech leader driving digital transformation and innovation.
- Benefits: Fully remote work, flexible hours, and opportunities for professional growth.
- Other info: Collaborative international team culture with a focus on inclusivity.
- Why this job: Work on cutting-edge data technologies and tackle real-world challenges.
- Qualifications: Degree in computer science or related field, with 3+ years in data engineering.
The predicted salary is between 50000 - 60000 £ per year.
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.
EN-Data Engineer in London employer: Adecco
Join a forward-thinking global technology and engineering organisation that champions digital transformation and innovation. As a Data Engineer, you'll enjoy a fully remote working environment with flexible arrangements that promote work-life balance, alongside opportunities for professional development within a collaborative and inclusive international team culture. This role not only offers exposure to cutting-edge technologies but also the chance to contribute to meaningful projects that address complex challenges across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land EN-Data Engineer in London
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like EN-Data Engineer at Adecco.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Adecco.
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We think you need these skills to ace EN-Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Adecco, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Adecco. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Adecco
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Adecco!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
