Data Engineering Lead in London

Data Engineering Lead in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data initiatives, enhance infrastructure, and drive automation in a fast-growing consumer business.
  • Company: Join a high-growth consumer business with a commitment to becoming data-driven.
  • Benefits: Competitive salary of £70,000 - £90,000 and opportunities for career progression.
  • Other info: Work in a dynamic environment with significant scope for personal and professional growth.
  • Why this job: Shape the future of data strategy and make a real impact on business decisions.
  • Qualifications: Strong SQL and Python skills, experience with cloud data warehouses, and stakeholder management.

The predicted salary is between 70000 - 90000 £ per year.

This is a rare opportunity to join a high-growth consumer business as its first dedicated data hire. You'll have the chance to take ownership of an evolving data function, improve existing infrastructure, drive automation, and play a key role in shaping how the organisation uses data to support commercial decision-making. With significant scope for progression, this role offers a clear pathway into future leadership.

THE COMPANY

This fast-growing consumer business operates across multiple sales channels and international markets. Having experienced rapid growth and increasing operational complexity, they have invested in building the foundations of a modern data platform and are now looking to bring greater ownership and expertise in-house. The business has already established a cloud-based data environment and is committed to becoming increasingly data-driven. As they continue to scale, data will play a critical role in supporting commercial performance, customer growth, operational efficiency, and future AI initiatives.

THE ROLE

As a Data Engineering Lead you will be responsible for developing and enhancing the organisation's data capability while acting as the internal expert across engineering, analytics, reporting, and automation. Specifically, you can expect to be involved in the following:

  • Building, maintaining, and improving data pipelines and integrations
  • Managing and developing the data warehouse and transformation layers
  • Driving automation of manual reporting and analysis processes
  • Supporting business stakeholders with trusted reporting and insights
  • Developing dashboards and BI solutions using Power BI
  • Integrating new data sources, including subscription and recurring revenue data
  • Improving data quality, documentation, governance, and accessibility
  • Working closely with commercial, marketing, and operational teams
  • Contributing to the organisation's longer-term AI and data strategy
  • Helping shape and grow the future data function

SKILLS AND EXPERIENCE

The successful Data Engineering Lead will have the following skills and experience:

  • Strong SQL and Python skills
  • Experience working with cloud data warehouses, ideally BigQuery
  • Knowledge of dbt or similar transformation frameworks
  • Experience building and maintaining data pipelines and ETL/ELT processes
  • Exposure to BI and dashboarding tools, particularly Power BI
  • Experience working with customer, marketing, revenue, or operational data
  • Understanding of subscription, recurring revenue, or customer lifecycle analytics
  • Ability to work independently and navigate ambiguity in a growing business
  • Strong stakeholder management and communication skills

BENEFITS

The successful Data Engineering Lead will receive the following benefits:

  • Salary between £70,000 - £90,000 - depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Engineering Lead in London employer: Harnham - Data & Analytics Recruitment Careers

As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.

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Contact Details:

Harnham - Data & Analytics Recruitment Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineering Lead in London

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We think you need these skills to ace Data Engineering Lead in London

Python
Communication Skills
Problem-Solving Skills
Data Engineering
Data Governance
SQL
ETL/ELT Processes

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 Careers, 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 Careers. 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 Careers

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

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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.