At a Glance
- Tasks: Lead technical strategy and architecture for a cutting-edge SaaS data platform.
- Company: Join a high-growth SaaS organisation shaping the future of data engineering.
- Benefits: Competitive salary, flexible work, and opportunities for mentorship and growth.
- Other info: Collaborative culture valuing technical leadership and innovation.
- Why this job: Make a real impact by influencing architecture and solving complex customer challenges.
- Qualifications: Experience as a Staff Engineer or similar in a modern SaaS environment.
The predicted salary is between 70000 - 90000 £ per year.
Shape the Future of Data Engineering Within a Leading SaaS Product Business. This is an opportunity to step into one of the most influential technical roles within a high-growth SaaS 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 SaaS business, this is an outstanding opportunity.
The RoleWorking 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'll provide direction through influence, helping teams navigate complex technical challenges, balancing long-term architectural thinking with the pace required to deliver customer value.
You'll be expected to take ambiguous commercial or product requirements and transform them into clear, pragmatic technical solutions that support both immediate delivery and long-term platform evolution. This is far more than a traditional data engineering position. Success will come from the quality of your technical judgement, your ability to influence engineering across the business and your understanding of how technology decisions impact customers, product delivery and commercial success.
What You'll Be Doing- Shape the technical strategy and architecture of the organisation's data platform.
- Lead architectural discussions across multiple engineering teams.
- Translate evolving product and commercial requirements into scalable technical solutions.
- Partner closely with Product to ensure engineering decisions support customer outcomes and business priorities.
- Mentor engineers and help raise technical standards across the organisation.
- Provide technical leadership without relying on formal management responsibility.
- Balance long-term architectural improvements with the pace of product delivery.
- Drive engineering best practice, technical consistency and architectural governance.
- Influence technology decisions across multiple teams while supporting a collaborative engineering culture.
- Help solve company-scale engineering challenges within a fast-moving SaaS environment.
We're looking for someone who can demonstrate experience across:
- Operating as a Staff Engineer, Principal Engineer or equivalent senior individual contributor within a modern SaaS product business.
- Defining technical architecture that supports both immediate product delivery and long-term platform evolution.
- Translating ambiguous commercial or product requirements into pragmatic technical solutions.
- Balancing technology decisions with people, engineering capability and commercial priorities rather than focusing solely on technical excellence.
- Working closely with Product teams to shape delivery, influence roadmaps and ensure engineering decisions create measurable customer value.
- Considering architecture beyond the codebase, including product delivery, customer release planning and go-to-market implications where appropriate.
- Influencing technical direction across multiple engineering teams without relying on formal line management.
- Making pragmatic architectural decisions in fast-paced environments where priorities change regularly.
- Demonstrating broad experience across multiple data disciplines, with an understanding of how data engineering, analytics, platforms and product engineering work together.
- Building strong relationships across Engineering, Product and other business functions to deliver successful outcomes.
Exposure to any of the following would be advantageous:
- Event-driven architectures.
- Data platform strategy and modern data ecosystems.
- Machine Learning or AI-enabled products.
- Platform Engineering principles.
- Mentoring senior engineers and developing technical capability across engineering teams.
- Large-scale SaaS product environments serving significant customer bases.
You're someone who understands that great engineering isn't just about building excellent technology solutions - it's about making technical decisions that enable people, support product delivery and deliver meaningful commercial outcomes. You thrive in environments where requirements aren't always fully defined, bringing clarity to ambiguity and translating business challenges into pragmatic, scalable solutions that balance architectural quality with delivery pace.
You're comfortable making difficult trade-offs, challenging ideas constructively and influencing through technical credibility rather than authority, working closely with Engineering and Product to ensure technology decisions create lasting value for both customers and the business. Most importantly, you'll enjoy operating in a fast-moving, product-led environment where engineering has genuine influence over product strategy, customer outcomes and commercial success.
Why Apply?This is a genuinely rare opportunity to operate as a true Staff Engineer within a successful and growing SaaS business. You'll have the chance to:
- Shape the long-term technical direction of a modern SaaS data platform.
- Influence architecture across multiple engineering teams.
- Partner closely with Product to solve real customer problems.
- Work on company-scale engineering challenges in a fast-moving product environment.
- Mentor experienced engineers and raise technical capability across the organisation.
- Join a collaborative engineering culture where technical leadership is genuinely valued.
- Balance hands-on technical depth with strategic architectural influence.
- Play a key role in the continued evolution of a platform used by thousands of customers.
If you're looking for a position where your technical leadership, architectural thinking and commercial mindset will have a lasting impact on a growing SaaS business, we'd love to hear from you. Please apply with a copy of your CV by Friday 31st July to Dominic Brown.
Staff Data Engineer in Leeds 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 in Leeds
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We think you need these skills to ace Staff Data Engineer in Leeds
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!
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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!
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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.