At a Glance
- Tasks: Lead the data function, build data pipelines, and shape the future data strategy.
- Company: Well-known consumer-facing organisation investing in data capabilities.
- Benefits: Competitive salary up to £78k, benefits, and a chance to influence technology decisions.
- Other info: Opportunity to work closely with senior leadership in a dynamic environment.
- Why this job: Build something meaningful and make a real impact on data governance and strategy.
- Qualifications: Strong Data Engineering experience, expertise in Snowflake, and mentoring skills.
The predicted salary is between 78000 - 78000 £ per year.
- Data Engineering Lead
- West London - Onsite 5x day per week
- Up to £78k + Benefits
We're partnering with a well-known consumer-facing organisation that is investing heavily in its data capabilities.
With a growing technology team and strong backing from senior leadership, this is an opportunity to take ownership of the data function and help shape its future direction.
The organisation is at an early stage of its data maturity journey.
Data is currently spread across multiple systems, with a third-party managed data warehouse already in place.
As the Data Engineering Lead, you will take ownership of the Snowflake platform, bring greater control and governance to the data landscape, and work alongside the CTO to develop and deliver the long-term data strategy.
This is a hands-on role where you'll be responsible for building and enhancing data pipelines and integrations, whilst supporting a BI Developer and engaging with senior stakeholders across the business.
The long-term vision is to bring data capabilities in-house and build a scalable data function.
What we are looking for
- Strong hands-on Data Engineering experience in modern cloud-based environments.
- Experience with Snowflake and building scalable data platforms.
- Expertise in data integration, ETL/ELT pipelines and data warehousing.
- Good understanding of data governance, security and best practice.
- Previous experience mentoring, leading or developing team members.
- Comfortable operating autonomously and acting as the senior data authority within a business.
- Someone who enjoys solving complex problems and building capability where none previously existed.
This isn't a role where you'll inherit a large team and simply keep the lights on. It's a chance to build something meaningful!
You'll have the freedom to influence technology decisions, introduce best practices, shape the future data landscape and work directly with senior leadership.
- *(We can not offer sponsorship for this opportunity)*
Data Engineering Lead in London employer: TRIA RECRUITMENT LIMITED
At TRIA Recruitment Limited, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a focus on professional development and a commitment to agile methodologies, we offer unique opportunities for growth and collaboration, all while providing the flexibility of a largely remote role. Join us in a supportive environment where your contributions directly impact our success and align with our strategic objectives.
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
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 TRIA RECRUITMENT LIMITED, 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 TRIA RECRUITMENT LIMITED. 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 TRIA RECRUITMENT LIMITED
✨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 TRIA RECRUITMENT LIMITED!
✨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.
