At a Glance
- Tasks: Transform data chaos into trusted insights for top enterprises.
- Company: Innovative tech company focused on real-world impact.
- Benefits: Competitive salary, travel opportunities, and dynamic work environment.
- Other info: Fast-paced setting with opportunities for innovation and growth.
- Why this job: Make a tangible difference in the world of data intelligence.
- Qualifications: 5+ years in technical pre-sales and data engineering.
The predicted salary is between 80000 - 98000 £ per year.
Are you passionate about bridging the gap between cutting-edge technology and real-world impact? In this pivotal role, you'll be at the forefront of transforming how top enterprises turn data chaos into trusted insights, working directly with clients from initial engagement to production launch. This is your chance to operate at the intersection of engineering, sales, and customer success in a dynamic, fast-growth environment—building solutions that make a tangible difference.
Required Skills:
- 5+ years of experience in technical pre-sales and data engineering
- 5+ years in a customer-facing role such as implementation, forward-deployed engineering, or software engineering
- Proven ability to build and ship production systems in customer environments
- Strong proficiency in SQL and scripting languages like Python or JavaScript
- Hands-on experience with APIs, webhooks, and system integrations
- Familiarity with modern data stacks (Databricks, Snowflake, BigQuery) and ETL workflows
- Cloud expertise in AWS, Azure, or GCP
- Excellent ability to translate complex technical concepts into clear business outcomes for diverse stakeholders
Nice to Have Skills:
- Experience in high-growth startups or fast-paced settings
- Background in solution architecture or technical pre-sales
- Experience authoring Statements of Work (SOWs) and scoping implementations
- Knowledge of data modeling, data pipelines, and large-scale data systems
- Comfort navigating the full customer lifecycle, from pre-sales to post-deployment
Other Requirements:
- Ability to operate across multiple projects simultaneously in a high-pressure environment
- Willingness to travel as needed to customer sites and industry events (once a week in Leeds requirement)
If you're driven by innovation, thrive in fast-paced environments, and want to make a real-world impact through technology, we encourage you to apply now. Jump into a role where your expertise directly shapes the future of data intelligence.
Forward Deployed Solutions Engineer in Stockport employer: TechYard
As a Forward Deployed Solutions Engineer, you'll join a vibrant team that values innovation and collaboration, working in a fast-growth environment that prioritises employee development and meaningful contributions. With a strong focus on bridging technology and real-world impact, the company offers competitive benefits, a supportive work culture, and ample opportunities for professional growth, all while being located in the dynamic city of Leeds, known for its thriving tech scene and community spirit.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Solutions Engineer in Stockport
✨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 TechYard!
✨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 Forward Deployed Solutions Engineer at TechYard.
✨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 TechYard.
✨Apply Directly through Our Website
When you find a suitable opening like Forward Deployed Solutions Engineer at TechYard, 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 Forward Deployed Solutions Engineer in Stockport
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 TechYard, 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 TechYard. 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 TechYard
✨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 TechYard!
✨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.
