At a Glance
- Tasks: Shape the future of data by building a unified AI-native platform.
- Company: Dynamic data-focused organisation with a culture of innovation.
- Benefits: Competitive salary, hybrid work model, and leadership opportunities.
- Other info: Join a fast-growing company with excellent career advancement potential.
- Why this job: Make a real impact while leading a high-impact team in a transformative environment.
- Qualifications: Experience in engineering and a passion for strategic development.
The predicted salary is between 60000 - 80000 £ per year.
Staff Engineer Up to £170,000 Hybrid - London (3x days per week) This is a rare opportunity to shape the technical backbone of a multi-entity data group undergoing significant transformation.
You will operate at the intersection of engineering and strategy, building a unified AI-native data layer while working closely with executive leadership.
The role offers high autonomy, direct influence on architectural direction, and the chance to hire and lead a small, high-impact team.
The Company They are a data-focused organisation with several specialist businesses, each operating its own technology stack and culture.
The strategic goal is to unify these into a single, scalable data and AI platform.
Backed by investment and growth through acquisition, they are building a modern data intelligence layer that enables better product delivery and commercial performance.
The environment is pragmatic, delivery-focused, and driven by technical excellence.
The Role You will take ownership of building the group's shared data platform and AI-native architecture.
You will contribute both strategically and hands-on, with a strong focus on delivery and impact.
Design and build a unified data layer, including entity graph, provenance, quality, and APIs Deliver production-ready systems and modern AP...
Staff Engineer employer: Harnham - Data & Analytics Recruitment
As a Chargeback Specialist in London, you will join a dynamic team dedicated to transforming fraud prevention into a strategic advantage. Our company fosters a collaborative work culture that prioritises employee growth through continuous learning and development opportunities, while offering competitive rates and a supportive environment for tackling complex challenges in eCommerce. With a focus on innovation and improvement, we empower our employees to make meaningful contributions that drive success and reduce fraud volumes.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Engineer
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Staff Engineer at Harnham - Data & Analytics Recruitment, 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 Staff 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 Harnham - Data & Analytics Recruitment, 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 Harnham - Data & Analytics Recruitment. 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 Harnham - Data & Analytics Recruitment
✨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 Harnham - Data & Analytics Recruitment!
✨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.
