At a Glance
- Tasks: Lead the data engineering function and shape the future of data management.
- Company: Dynamic digital business investing in innovative data platforms.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on excellence and innovation.
- Why this job: Make a real impact on data strategy and governance in a modern environment.
- Qualifications: Proven leadership in data engineering and expertise in cloud environments.
The predicted salary is between 70000 - 90000 £ per year.
Salary: £100,000 - £120,000 + Benefits
Location: London - hybrid
We're partnering with a successful, data-driven digital business that's investing heavily in the future of its data platform. Having already embarked on a significant transformation programme, they're now looking for an experienced Head of Data Engineering to lead the next phase of their journey.
This is a genuine opportunity to shape the way an organisation manages, governs and leverages its data. You'll have ownership of the data platform, influence technology strategy and establish the standards that underpin analytics, reporting and future AI initiatives.
The Opportunity
As the Head of Data Engineering, you'll provide technical leadership across the entire data engineering function, taking ownership of platform architecture, governance and engineering excellence. Working closely with senior stakeholders across Technology, Product, Finance and Commercial teams, you'll ensure data is reliable, well-governed and trusted throughout the business. You'll inherit a modern cloud-based platform and an established engineering team, with the autonomy to define the long-term technical roadmap and build best-in-class engineering practices.
Skills and Experience
- Proven experience leading Data Engineering teams within modern cloud environments
- Deep experience designing and managing modern data warehouses and analytics engineering environments
- A strong understanding of data governance, quality, lineage and operational best practice
- The ability to influence stakeholders across technical and non-technical teams
- A track record of raising engineering standards and developing high-performing teams
If you're looking for a senior leadership opportunity where you can combine technical expertise with strategic influence, we'd love to hear from you.
Head of Data Engineering in London employer: Data Idols
Join a forward-thinking digital business in London that prioritises data-driven decision-making and innovation. As the Head of Data Engineering, you'll benefit from a hybrid work model, competitive salary, and a culture that fosters collaboration and professional growth. With a modern cloud-based platform and a dedicated engineering team, this role offers you the chance to shape the future of data management while enjoying a supportive environment that values your expertise and leadership.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering in London
✨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 Data Idols!
✨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 Head of Data Engineering at Data Idols.
✨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 Data Idols.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Engineering at Data Idols, 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 Head of Data Engineering 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 Data Idols, 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 Data Idols. 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 Data Idols
✨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 Data Idols!
✨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.
