At a Glance
- Tasks: Lead data engineering strategy and architecture while mentoring a dynamic team.
- Company: Join Places for People, a leading UK Social Enterprise focused on community impact.
- Benefits: Inclusive culture, career growth opportunities, and the chance to make a real difference.
- Other info: Be part of an innovative team transforming data consumption in a thriving environment.
- Why this job: Combine your tech skills with a genuine social purpose to improve lives at scale.
- Qualifications: Extensive cloud data engineering experience and strong leadership skills required.
The predicted salary is between 31500 - 38500 £ per year.
At Places for People, we hire People, not numbers! We are more interested in hiring someone that embodies our People Promises. That's someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social Enterprise, we don't discriminate based on any protected attribute. In fact, we're dedicated to creating inclusive and thriving Communities for both our Customers and Employees.
Many organisations offer interesting work. Few offer the opportunity to improve lives at scale. At Places for People, we're creating thriving communities, providing homes, support, and opportunities that help people live healthier, happier, and more successful lives. For those who want their work to deliver meaningful impact beyond commercial outcomes, this is a chance to combine professional excellence with genuine social purpose.
The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining PfP's data platform, we extract data from source, transform it into a usable format, load it into consumer models and marts, and build and manage the infrastructure to do all this work. Data Engineering are transforming the way PfP consumes data. Having transitioned from On Premise to Google Cloud, we are in the process of building a leading-edge Data Mesh platform. This is an exciting time to join a growing business function, with the opportunity to make your mark in the architecture of the platform and the development of the data engineering function.
The Principal Data Engineer is a senior technical leader who drives the engineering strategy, architecture, and best practices across product domain squads. This role is pivotal in enabling decentralised data ownership while ensuring consistency, scalability, and interoperability across the data mesh.
Key responsibilities include:
- Technical leadership across product domains
- Architecture and design
- Mentorship and capability building
- Cross domain interoperability
- Governance and compliance enablement
- Innovation and strategic influence
With a solid understanding of Google Cloud Platform, the Principal Data Engineer is responsible for ensuring that the design and build of all data processes on the data platform are robust, performant, and compliant. This includes data ingestion, data quality/integrity, transformation, security and encryption, batch management, monitoring, alerting and cost control.
In addition to leading data processing, the Principal Data Engineer will help design and build the Data Mesh including data modelling and the processing of data from raw through the semantic layers. The Principal Data Engineer will identify opportunities for automation and process improvement, coach and mentor data engineers, set coding standards and best practices, implement and document data integrity and quality checks, optimise queries, and facilitate data engineering collaboration across the team.
The Principal Data Engineer will work closely with the Principal Data Platform Engineer and the Data Domain Architect to ensure that the data platform and data pipeline design is optimised and reliable within Google Cloud Platform, documenting the approach and explaining the solution to engineers and non-technical business users.
About you:
You will have an extensive cloud data engineering background with deep expertise in distributed systems, cloud platforms and modern data stacks. You will have a strong understanding of domain driven design, data mesh and product thinking. You will be an excellent communicator and collaborator across technical teams. Having worked on multiple projects within the cloud, you have hands-on experience in many of the tools and technologies on offer, and you embrace and learn new technologies quickly.
You have a very clear view of what good looks like and can formulate plans to deliver a target state working closely with managers and engineers to deliver that vision. You will have multiple years' experience working in GCP with good knowledge across the platform and deep knowledge in core processing and orchestration products such as Big Query, Data Flow, Data Fusion, Data Stream, Cloud Functions, Data Proc and Airflow / Composer.
You will have excellent problem-solving skills, a rigorous approach to code checks/peer reviews and have the strength of character to drive high standards in the team. You will be able to manage and participate in the full development lifecycle of data products. You will have held a leading role in a Data Engineering function with responsibility for directing the efforts of other data engineers through the design, build and deployment of complex data solutions. This includes driving the implementation and adoption of CI/CD. You will be self-motivated with excellent leadership qualities, capable of driving innovation and mentoring data engineers.
Principal Data Engineer in Isle of Wight employer: Places for People
Places for People in Birmingham is an excellent employer, offering a vibrant work culture that prioritises community engagement and exceptional service delivery. With flexible working arrangements and health memberships, employees are supported in achieving a healthy work-life balance while also having access to numerous growth opportunities within the leisure and hospitality sector.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer in Isle of Wight
✨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 Places for People!
✨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 Places for People.
✨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 Places for People.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Engineer at Places for People, 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 in Isle of Wight
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 Places for People, 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 Places for People. 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 Places for People
✨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 Places for People!
✨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.
