At a Glance
- Tasks: Lead data engineering projects, ensuring client satisfaction and technical excellence.
- Company: Remote-first company focused on innovative data solutions for global brands.
- Benefits: Flexible working, private health insurance, and exclusive training opportunities.
- Other info: Join a collaborative culture that values continuous learning and career growth.
- Why this job: Make a real impact with cutting-edge technology while shaping the future of data practices.
- Qualifications: Proven experience in data engineering, cloud platforms, and strong communication skills.
The predicted salary is between 72000 - 88000 £ per year.
As a Principal Data Engineer, you will serve as the bridge between complex technical architecture and strategic business value. This is a high-impact, client-facing leadership role designed for an expert who can navigate deep technical challenges while maintaining a "customer-first" mindset. You will be the primary technical authority for our clients, ensuring their data platforms are resilient, scalable, and aligned with their long-term business goals.
Key Responsibilities
- Customer Excellence & Stakeholder Management: Act as the primary strategic partner to client business owners, aligning technical data solutions with corporate goals while championing reliability and "clean data" for all consumers.
- Solution Architecture & Tech Strategy: Drive the development of complex, large-scale data architectures and multi-year technology roadmaps, balancing technical innovation with cost efficiency and operational stability.
- Delivery & Execution: Oversee "team-of-teams" delivery performance, ensuring the quality and resilience of high-impact data pipelines while managing capacity planning and team velocity.
- Incident Management & Resilience: Lead the triage and resolution of critical platform incidents, taking full ownership of root-cause prevention and maintaining transparent communication with clients during recovery.
- Governance, Risk & Compliance: Implement robust governance frameworks and compliance controls, acting as the authoritative lead on risk mitigation and the primary technical contact for regulatory matters.
- Knowledge Management & Mentorship: Champion an organisational culture of knowledge sharing, representing the firm at industry events and establishing best practices across communities of practice.
- Business Strategy: Influence long-term organizational health by driving platform efficiency, managing engineering budgets, and leading strategic hiring and retention initiatives.
Skills, Knowledge and Expertise
- Proven experience in a principal engineering role.
- Extensive experience with cloud data platforms such as Azure or AWS, with a focus on Databricks.
- Highly skilled with Pythonic data processing tools such as Pyspark and SparkSQL.
- Strong understanding of data modelling concepts relational and non-relational databases.
- Proficiency in SQL and experience with data integration and ETL tools.
- Excellent knowledge of big data technologies and frameworks.
- Strong knowledge of data governance and data security best practices.
- Strong analytical mindset with attention to detail and a consultative approach.
- Excellent communication and stakeholder management skills.
Benefits
- Remote-first working with flexibility around client needs.
- Private health insurance.
- Projects with global brands & public sector leaders, working on real-world impact.
- Exclusive access to AWS & Databricks certifications, training, and partner tools.
- A collaborative culture of technical excellence and continuous learning.
- A lead role in shaping delivery standards and future Data & Consulting practices within the firm.
- Competitive salary, bonus structure, and long-term growth opportunities.
Principal Data Engineer in London employer: Colibri Digital
Colibri Digital is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to make a significant impact in the realm of Account-Based Marketing. With a focus on employee growth, we offer ample opportunities for professional development and innovation, all while working remotely from the UK. Join us to be part of a forward-thinking team that values creativity and strategic thinking, ensuring your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer 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 Colibri Digital!
✨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 Principal Data Engineer at Colibri Digital.
✨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 Colibri Digital.
✨Apply Directly through Our Website
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We think you need these skills to ace Principal Data Engineer 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 Colibri Digital, 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 Colibri Digital. 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 Colibri Digital
✨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 Colibri Digital!
✨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.
