At a Glance
- Tasks: Lead end-to-end Quantexa implementations and mentor teams in data engineering.
- Company: Join a top-tier management consultancy with a focus on innovation.
- Benefits: Ongoing training, competitive salary, and flexible hybrid working options.
- Other info: Dynamic role with excellent career growth and travel opportunities across the UK.
- Why this job: Make a real impact in financial services with cutting-edge data solutions.
- Qualifications: Quantexa certification and experience in large-scale analytics required.
The predicted salary is between 80000 - 98000 £ per year.
A Quantexa Certified Senior Data Engineer is required by this Tier 1 Management Consultancy. This Manager grade role operates at the intersection of architecture, delivery leadership, and client advisory - leading end‑to‑end Quantexa implementations across complex data ecosystems.
As a Senior Quantexa Data Engineer in this major Management Consultancy, this role:
- Leads full‑lifecycle Quantexa solutions, from use‑case design through to production deployment
- Assists the Technical Lead as the technical authority and client interface, translating regulatory or business problems into scalable Quantexa architectures
- Leads teams in shaping data models, ER logic, and performance tuning across high‑volume, enterprise datasets
- Mentors teams while influencing delivery standards, design patterns, and best practice within the workstream
In order to secure this role you will need the following:
- Quantexa Technical Certification is mandatory.
- Proven experience in leading teams across end-to-end Quantexa SDLC implementations, including design, build, testing, and deployment.
- In depth experience gained in data engineering, data modelling and design in the context of large-scale analytics platforms
- Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation
- Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch
- Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences.
The work is heavily weighted toward Financial Services, Fraud, AML, and KYC use cases, with real emphasis on contextual decision intelligence at scale, rather than PoCs. This is an excellent opportunity to develop your career in Data Engineering and Quantexa all backed through excellent ongoing training as provided by one of the world's leading management consultancies. These flex hybrid roles will be based from the clients London offices, but all candidates must be fully flexible in terms of travel, as client projects may be based across the wider UK.
Senior Quantexa Data Engineer employer: Lorien Resourcing
As a Senior Quantexa Data Engineer at this prestigious Tier 1 Management Consultancy, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With a strong commitment to employee development, the company offers extensive training opportunities and mentorship, ensuring you can advance your career while working on impactful projects in the financial services sector. Located in London, this role provides the unique advantage of engaging with diverse clients across the UK, all while being part of a supportive team that values excellence and best practices.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantexa Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lorien Resourcing!
✨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 Senior Quantexa Data Engineer at Lorien Resourcing.
✨Leverage Professional Networks
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 Lorien Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Quantexa Data Engineer at Lorien Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Quantexa Data Engineer
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 Lorien Resourcing, 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 Lorien Resourcing. 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 Lorien Resourcing
✨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 Lorien Resourcing!
✨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.
