At a Glance
- Tasks: Lead and develop data platforms while collaborating with engineering and AI teams.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive salary, private medical insurance, and flexible working arrangements.
- Other info: Opportunity for career growth in a supportive and collaborative environment.
- Why this job: Shape the future of data analytics and make a real impact in a hands-on role.
- Qualifications: Strong SQL and Python skills, experience with cloud data platforms, and team leadership.
The predicted salary is between 60750 - 74250 £ per year.
Sector: Tech
Reference: 16038Principal Data Engineer Manchester | Hybrid | Up to £85k DOEHelp shape the next chapter of our data capability.
We're looking for a hands-on Principle Data Engineer to own our data platforms: dependable, well-modelled and easy to build on.
This is an opportunity to own the data platforms that power analytics across the business and give a small team the tools to do its best work.
What You'll Be Responsible For As the Principal Data Engineer, you'll own all data platforms while staying hands-on in the code.
You'll work alongside Engineering and AI/Data Science, lead and develop the data team and turn business needs into a realistic plan.
Own the data platforms: Build and run ingestion, orchestration, the Big Query warehouse, DBT tooling and Python data services on GCP, including CI/CD, infrastructure as code, access and cloud costs.
Keep data reliable: Set freshness and recovery targets for critical data, own alerting and incident response, and make backfills and reruns safe.
Model data for the business: Design layered warehouse models, from staging to dimensional marts.
Partner across teams: Work alongside Engineering and AI/Data Science to provide the data they need, and fix data issues at source.
Plan the work: Turn business and analytics requests into one prioritised backlog and roadmap.
Set the engineering standard: Review SQL, Python and dbt code, keep tests and contracts strong and make every production change testable and reversible.
Lead and develop the team: Line-manage and mentor members of the data team, through regular 1:1s, coaching, code review and career development.
Skills and Experience Essentials Strong SQL and Python, building tested, maintainable production pipelines and data services.
Hands-on experience with a cloud data warehouse, dbt (or equivalent) and workflow orchestration, including incremental loading, safe reruns and performance tuning.
Data modelling for analytics and BI: dimensional design, semantic layers and well-documented shared datasets.
Ownership of a production data platform on a major cloud: deployment, infrastructure as code, permissions, monitoring, incident recovery and cost.
Sound security and data privacy practice, including GDPR and least-privilege access.
Turning stakeholder needs into a prioritised backlog, and reconciling figures where finance reporting depends on them.
Line management or mentoring of engineers, and technical leadership through code review and clear documentation.
Experience with modern cloud data platforms, orchestration tooling, infrastructure as code and analytics platforms.
Desirables GCP experience with Big Query, Composer and Cloud Run or Cloud Functions, including cost optimisation.
Airbyte or similar ingestion tools, CDC, Kubernetes and data observability tools such as Elementary.
Experience working with data scientists to put ML models or pipelines into production.
What You Will Get Competitive salary Competitive annual leave allowance Private medical insurance Flexible working arrangements
Principal Data Scientist & Principal Data Engineer in Manchester employer: Chroma Recruitment
As a leading space technology organisation, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Located in the heart of the UK space sector, we offer competitive benefits, continuous professional development opportunities, and the chance to work on groundbreaking projects that shape the future of space technology. Join us to be part of a collaborative team that values creativity, encourages growth, and is dedicated to delivering exceptional results in the exciting field of space exploration.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist & Principal Data Engineer in Manchester
✨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 Chroma Recruitment!
✨Show Off Your Projects
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✨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 Chroma Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Scientist & Principal Data Engineer at Chroma Recruitment, 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 Scientist & Principal Data Engineer in Manchester
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 Chroma Recruitment, 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 Chroma Recruitment. 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 Chroma Recruitment
✨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 Chroma Recruitment!
✨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.
