At a Glance
- Tasks: Lead the design of a modern cloud-based data platform and mentor engineering teams.
- Company: Join a forward-thinking company shaping the future of data engineering.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a fast-paced, evolving environment.
- Why this job: Make a real impact in a senior role driving innovation and best practices.
- Qualifications: 10+ years in data engineering with strong cloud expertise and leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
Principal Data Engineer Lead the design and delivery of a modern cloud-based data platform, driving engineering standards, architecture, and innovation across a growing data function.
The Opportunity This is a senior technical leadership role responsible for shaping data engineering strategy, architecture, and best practices across multiple product domains.
Working within a modern cloud environment and Data Mesh architecture, you will drive the development of scalable, secure, and high-performing data solutions while mentoring engineers and influencing technical direction.
Key Responsibilities Provide technical leadership across data engineering teams and product domains.
Define and implement data platform architecture, standards, and best practices.
Design and optimise data ingestion, transformation, quality, security, monitoring, and governance processes.
Lead the development of Data Mesh principles, data models, and semantic data layers.
Drive automation, CI/CD adoption, and continuous improvement initiatives.
Mentor and coach data engineers, promoting engineering excellence.
Ensure cross-domain interoperability, scalability, and compliance.
Collaborate with architects, platform engineers, and business stakeholders to deliver robust data solutions.
About You Extensive experience in cloud-based data engineering and distributed systems.
Strong knowledge of Data Mesh, domain-driven design, and data product thinking.
Proven ability to lead teams and deliver complex data engineering initiatives.
Strong communication and stakeholder management skills.
Passionate about engineering quality, innovation, and mentoring others.
Essential Skills & Experience 10+ years' experience in Data Engineering.
Experience in a Lead or Principal Data Engineering role.
Strong cloud data platform expertise, including Google Cloud Platform (GCP).
Hands-on experience with Big Query, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer.
Advanced SQL and Python skills.
Expertise in data lakes, data warehouses, and modern data architectures.
Strong understanding of data governance, lineage, MDM, data privacy, and PII handling.
Experience optimising complex queries and large-scale data processing.
Proven mentoring, coaching, and leadership capability.
Experience working within Agile/Scrum environments and across the full software development lifecycle.
This is an excellent opportunity for a senior data engineering leader to play a key role in the evolution of a modern cloud data platform, influencing architectural decisions and helping shape the future of a data-driven organisation.
- Sponsorship is not available - applicants must have full right to work in the UK
- TPBN1_UKTJ
Principal Data Engineer employer: All The Top Bananas
My Four Wheels is an exceptional employer, offering a rewarding career as a Trainee Driving Instructor with flexible working hours and the potential to earn up to £50,000+ annually. With comprehensive training provided through our new Training Academy, employees benefit from ongoing support and resources, ensuring a fulfilling journey towards becoming a qualified instructor while enjoying the satisfaction of teaching locally in Westfield, Surrey.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer
✨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 All The Top Bananas!
✨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 All The Top Bananas.
✨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 All The Top Bananas.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Engineer at All The Top Bananas, 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 Principal Data Engineer
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 All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas
✨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 All The Top Bananas!
✨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.
