Senior Data Engineer in City of London

Senior Data Engineer in City of London

City of London Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Join a dynamic team to deliver impactful data science and machine learning projects.
  • Company: Specialist tech firm in the investment and private equity sector.
  • Benefits: Competitive salary, bonus, pension, and opportunities for growth.
  • Other info: Collaborative culture with a focus on practical solutions and career advancement.
  • Why this job: Make a real difference by influencing business performance with cutting-edge technology.
  • Qualifications: Strong experience in data science, machine learning, and cloud environments.

The predicted salary is between 72000 - 88000 £ per year.

SENIOR DATA ENGINEER
£90-£120K
LONDON

This is an opportunity to join a high-growth applied data and machine learning team focused on tangible commercial impact.

You will work on varied, high-visibility projects where your work directly influences business performance and value creation.

THE COMPANY

Our Client is a specialist technology firm operating within the investment and private equity ecosystem.

The business partners closely with leading investment firms and their portfolio companies to deliver post-deal value through data and AI.

Following recent investment, they are in a strong growth phase with a clear focus on collaboration and pragmatism

THE ROLE

  • Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives.
  • Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value.
  • Design, build and deploy machine learning solutions across use cases such as pricing, sales optimisation and fraud reduction.
  • Take ownership of projects end to end, from discovery and modelling through to deployment and scaling.
  • Balance technical sophistication with practicality, selecting the right approach to maximise impact.
  • Contribute to best practice across applied data science, engineering and delivery.
  • YOUR SKILLS AND EXPERIENCE
  • Strong experience delivering data science or machine learning solutions in production environments.
  • Proven capability deploying and scaling models using appropriate engineering and MLOps practices.
  • Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure.
  • Familiarity with modern tooling such as Databricks, version control and containerisation.
  • Strong commercial awareness, with the ability to articulate impact in business terms.
  • Confident communication skills and experience working in client-facing or stakeholder-heavy environments.

SALARY AND BENEFITS

  • £90-£120k Base salary
  • 10% bonus
  • 7% Pension
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Senior Data Engineer in City of London employer: Harnham - Data and Analytics Recruitment

As an AI Automation Lead at this investment-focused organisation in London, you will thrive in a collaborative and innovative environment that prioritises technology and data. The company offers a competitive salary, comprehensive benefits, and the unique opportunity to build impactful AI solutions from the ground up, all while fostering professional growth and cross-functional teamwork.

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Contact Details:

Harnham - Data and Analytics Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in City of London

✨Get Involved in Data Science Meetups

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When you find a suitable opening like Senior Data Engineer at Harnham - Data and 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 Senior Data Engineer in City of London

Data Science
Machine Learning
MLOps
Python
SQL
Cloud Environments (AWS, GCP, Azure)
Databricks

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 and 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 and 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 and 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 and 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.