At a Glance
- Tasks: Build and operate large-scale data pipelines for enterprise knowledge and AI systems.
- Company: Join a forward-thinking company focused on transforming data into actionable insights.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by shaping the future of data infrastructure and AI technology.
- Qualifications: Experience in Python, SQL, and data engineering principles required.
The predicted salary is between 54000 - 66000 £ per year.
We are looking for experienced
Data Engineers to build and operate enterprise-scale data pipelines that transform disparate organisational knowledge into structured, searchable and AI-ready formats.
You will work across ingestion, enrichment, indexing and storage, helping create the underlying data infrastructure required to support enterprise search, knowledge graphs and AI systems.
Key Responsibilities
- Build and operate large-scale data ingestion and transformation pipelines .
- Develop ETL/ELT processes for disparate enterprise data sources.
- Design data structures supporting enterprise knowledge and AI use cases.
- Develop and maintain knowledge graph capabilities.
- Work with graph and vector-based data technologies.
- Implement metadata management and data cataloguing capabilities.
- Support enterprise search indexing and information retrieval.
- Ensure data quality, governance and lineage across the platform.
- Design event-driven data processing solutions.
- Optimise data pipelines and platforms for performance and scalability.
- Work with distributed data systems and cloud data platforms.
- Collaborate with Data Scientists, Backend Engineers and business stakeholders to make enterprise knowledge accessible and usable.
- Key Skills & Experience
- Python and SQL
- Google Spanner
- Neo4j / Graph Databases
- Knowledge Graph Engineering
- ETL / ELT pipelines
- Big Query
- Data modelling
- Metadata management
- Data cataloguing
- Vector databases
- Event-driven architecture
- Enterprise search indexing
- Data governance and quality
- Data lineage
- Distributed systems
- Performance and scalability optimisation
Data Engineer in England employer: Savant Recruitment Experts
As a leading employer in the tech industry, we offer Data Engineers the opportunity to work on cutting-edge projects that shape the future of enterprise data management. Our collaborative work culture fosters innovation and continuous learning, with ample opportunities for professional growth and development. Located in a vibrant tech hub, we provide a dynamic environment where your contributions directly impact our mission to transform organisational knowledge into actionable insights.
Contact Details:
Savant Recruitment Experts Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in England
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We think you need these skills to ace Data Engineer in England
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 Savant Recruitment Experts, 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 Savant Recruitment Experts. 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 Savant Recruitment Experts
✨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 Savant Recruitment Experts!
✨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.
