At a Glance
- Tasks: Lead client delivery and mentor junior engineers while developing innovative data solutions.
- Company: Edge, a forward-thinking tech company focused on healthcare data.
- Benefits: Competitive salary, annual bonus, private health insurance, and generous leave options.
- Other info: Diverse team culture with excellent opportunities for professional development.
- Why this job: Make a real impact in healthcare while growing your skills in a supportive environment.
- Qualifications: 2-4 years in client-facing data roles with strong SQL and cloud experience.
The predicted salary is between 55000 - 65000 £ per year.
We are hiring a data engineer to lead client delivery and build the next generation of engineers at Edge. This is a client-facing leadership role. You will spend most of your time working directly with both public.
Produce client-ready output: pipelines, models, reports and presentations that can go in front of a client as they stand.
Play an active part in client relationships: presenting, updating and handling harder conversations, with coaching from senior staff as you take on more.
Develop the junior engineers on your projects, coaching them through client interactions and managing their delivery as well as the technical work.
Handle sensitive data the way it should be handled, following our quality and information security practices, because being trusted with patient data is the foundation of everything we do.
Help the junior engineers around you get better, sharing what you know with the team and supporting new joiners as they find their feet.
Apply senior judgement to the technical work itself: noticing when a build is drifting away from good practice and doing something about it.
Look for the moments where good delivery opens the door to more work, and flag them to the senior colleague leading the account as well as contribute to bids and proposals.
Skills, Knowledge and Expertise
We greatly value diversity and would welcome applicants from a range of academic and professional backgrounds. While meeting all the stated job requirements can be beneficial, at Edge, we understand that diverse experiences and perspectives can bring great value to our work. So, if you're passionate about the work we do and share our values, we encourage you to apply, even if you don't meet every single criterion.
- You have delivered data work in a client-facing setting, such as consulting, an agency or an embedded role for 2-4 years, and are comfortable presenting your work and being challenged on it.
- You have started developing others, whether through mentoring, onboarding or day-to-day coaching, and can give us an example of someone who is better at their job because of you.
- You manage your own delivery well against deadlines and can plan and delegate work for a small team.
- You have solid engineering foundations: strong SQL, plus experience with some of Azure or AWS, Databricks and Terraform. Gaps in the stack are fine, and we will train them.
- You care about healthcare. Experience with the NHS or health data is a real advantage, and a passion for the sector is essential.
- You take your own development seriously, come to your one-to-ones ready to work on something, and act on the feedback you get.
- You are the kind of colleague people want on a project: straight with clients, considerate of the team, and someone who takes pride in working in the health.
Bachelor’s or Master’s degree in a technical discipline (computer Science, Engineering, mathematics or similar) expected.
Benefits
- Discretionary annual bonus (typically averaging ~10% of base).
- 25 days annual leave per year, including the option of buying up to 5 additional days.
- Vitality Private health insurance and/or Bupa Cashplan.
- Two days training per quarter to support professional development.
- Cycle2Work scheme.
We review applications on a rolling basis and invite candidates to interview as we go, so encourage you to apply early. If we receive a high number of strong applications, we may close the role before the advertised deadline.
Senior Data Engineer employer: Edge Health
At Edge, we pride ourselves on being an exceptional employer, particularly for our Senior Data Engineers in London. Our vibrant work culture fosters collaboration and innovation, offering ample opportunities for professional growth through mentorship and training. With competitive compensation, a discretionary annual bonus, and a commitment to employee well-being, including private health insurance, we ensure that our team members thrive both personally and professionally while making a meaningful impact in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Edge Health!
✨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 Senior Data Engineer at Edge Health.
✨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 Edge Health.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Edge Health, 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 Senior 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 Edge Health, 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 Edge Health. 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 Edge Health
✨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 Edge Health!
✨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.