At a Glance
- Tasks: Lead technical direction and shape the data platform for a high-growth SaaS company.
- Company: Join a leading SaaS product business with a focus on innovation.
- Benefits: Competitive salary, flexible work, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on collaboration and growth.
- Why this job: Influence architecture and mentor engineers while driving impactful solutions.
- Qualifications: Experience in data engineering and strong technical leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
Staff Data Engineer / Leeds or London 1x a month / 120k - 140k Shape the Future of Data Engineering Within a Leading Saa S Product Business This is an opportunity to step into one of the most influential technical roles within a high-growth Saa S organisation where engineering plays a central role in shaping the future of the product.
Rather than focusing solely on building data pipelines, you ll provide technical leadership across the engineering function, helping define the architectural direction of the company s data platform while influencing how engineering teams solve complex customer and business problems.
You ll work at the intersection of Engineering and Product, translating evolving commercial priorities into scalable technical solutions that enable faster delivery, improve customer outcomes and support the continued growth of the platform.
If you re looking for a role where you can influence architecture, mentor senior engineers and help shape the technical strategy of a modern Saa S business, this is an outstanding opportunity.
The Role Working as a Staff Engineer, you ll become one of the senior technical leaders within the engineering organisation, partnering closely with Product Managers, Engineering Managers and fellow Staff Engineers to guide architectural decisions across multiple teams.
This is a role centred around technical leadership rather than people management.
You ...
Staff Data Engineer employer: Corecom Consulting
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your analytical skills can shine. With flexible remote working options and the opportunity to engage with top-tier professionals in Manchester, you'll find ample opportunities for personal and professional growth while contributing to impactful network transformation projects. This role not only promises meaningful work but also a supportive environment that encourages continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Staff 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 Corecom Consulting!
✨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 Staff Data Engineer at Corecom Consulting.
✨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 Corecom Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Data Engineer at Corecom Consulting, 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 Staff 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 Corecom Consulting, 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 Corecom Consulting. 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 Corecom Consulting
✨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 Corecom Consulting!
✨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.
