At a Glance
- Tasks: Build scalable data pipelines and knowledge solutions for a major financial services organisation.
- Company: Join a leading financial services company with a focus on innovation.
- Benefits: Competitive daily rate, potential for extension, and remote work options.
- Other info: Exciting opportunity to work with cutting-edge technologies in a dynamic environment.
- Why this job: Transform enterprise data into AI-consumable formats and make a real impact.
- Qualifications: Strong experience in Data Engineering, Python, SQL, and cloud data platforms.
The predicted salary is between 51750 - 63250 £ per year.
Location: Bristol, Leeds, Manchester or Edinburgh
Duration: 3 months initially (likely extension)
Rate: Up to £800 p/d inside IR35 (via umbrella)
The Role
Major Financial Services organisation looking for an experienced Data Engineer to build scalable data pipelines and knowledge solutions supporting an Enterprise Knowledge Base (EKB). You’ll work across data ingestion, enrichment, indexing and knowledge graphs, transforming enterprise data into searchable, governed and AI-consumable formats.
Key Responsibilities
- Build scalable ETL/ELT pipelines using Python and SQL
- Work with BigQuery, Google Spanner, Neo4j and Vector Databases
- Design and implement Knowledge Graphs
- Develop enterprise search, indexing and retrieval capabilities
- Build data models, metadata and enrichment processes
- Implement event-driven and real-time data architectures
- Ensure data quality, governance, lineage and traceability
- Optimise platform performance and scalability
Key Requirements
- Strong commercial Data Engineering experience
- Strong Python and SQL
- Experience with BigQuery, Spanner and/or similar cloud data platforms
- Hands-on Neo4j / Knowledge Graph experience
- Experience with Vector Databases, Search or Indexing
- Strong understanding of data modelling and governance
- Experience supporting AI, LLM or RAG use cases
Nice to have:
- Enterprise Knowledge Management / Knowledge Base experience
- Semantic Search
- Large-scale Search platforms
- AI/LLM and RAG experience
- Financial Services experience
Deadline for applications is Tuesday 8th Sept at 12pm
Get in touch for more details – ncarolan@mcgregor-boyall.com
Data Engineer employer: McGregor Recruitment
Join a dynamic team at the forefront of financial technology in the heart of London, where innovation meets collaboration. As a Senior UI Developer, you'll not only lead cutting-edge projects but also enjoy a vibrant work culture that prioritises employee growth and mentorship. With competitive benefits and the opportunity to shape the future of electronic trading, this role offers a meaningful and rewarding career path in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like McGregor Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like McGregor Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like McGregor Recruitment.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at McGregor Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to McGregor Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab McGregor Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at McGregor Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at McGregor Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at McGregor Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at McGregor Recruitment.
