At a Glance
- Tasks: Join a new data team to build and manage cutting-edge data platforms.
- Company: G.Digital is revolutionising healthcare with innovative technology solutions.
- Benefits: Enjoy hybrid working, funded gym membership, and training opportunities.
- Other info: Be the first hire in a greenfield environment, shaping the future of data.
- Why this job: Make a real impact in healthcare while working with top industry experts.
- Qualifications: Experience in data engineering, AWS tools, Python, and SQL required.
The predicted salary is between 60000 - 84000 £ per year.
This range is provided by G.Digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from G.Digital
Hybrid (Lancashire) - Salary up to £75k
If you're interested in making healthcare more affordable, accessible and convenient through cutting edge tech, this might be THE role for you!
We’re hiring a Senior Data Engineer to be the FIRST hire into a brand new data team
You reporting directly to the Head of Data and working alongside their CTO who's a Goldjacket-level AWS expert with every certification under his belt, known for giving talks across the UK, Europe, and the US
You'll have the opportunity to own the data platform from day one, helping to shape architecture, tooling, governance and delivery processes.
You’ll be building in a serverless AWS environment, creating high-performance data lakes and pipelines that support NHS operations, commercial teams and internal decision-making.
Who they're looking for
️ A pragmatic, hands-on engineer who thrives in greenfield environments and loves building systems that are clean, testable and futureproof
️ Someone who think in systems and data lifecycles (from raw S3 files to Athena or BI dashboards)
️ An individual who can communicate clearly across technical and non-technical teams
️ The desire to work in a small, high-calibre team solving real problems with impact
Funded gym membership
Funded training + certifications
Requirements
- Extensive experience in data engineering OR backend roles focused on analytics platforms
- Strong hands-on experience with AWS Glue, Athena, Lambda, S3 and Step Functions
- Proficiency in Python (incl. PySpark) and SQL
- Experience building production-grade ETL pipelines
- Strong understanding of data modelling for analytics, including partitioning, file formats (Parquet, ORC) and denormalisation
- Track record of enforcing data quality, governance and performance SLAs
Salary up to £75k dependent on experience
Hybrid working - Lancashire
Sound like a bit of you??
APPLY TODAY
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Industries
Hospitals and Health Care
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Senior Data Engineer in Skelmersdale employer: G.Digital
Join a dynamic and supportive team in Leeds as a Junior Project Manager, where you'll gain invaluable hands-on experience across diverse client projects. Our collaborative work culture prioritises your growth, offering structured learning opportunities and mentorship from seasoned professionals, ensuring you develop into a confident project leader. With increasing responsibilities and the chance to take ownership of your own projects, this role is perfect for ambitious individuals eager to build a rewarding career in project management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Skelmersdale
✨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 G.Digital!
✨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 G.Digital.
✨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 G.Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at G.Digital, 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 in Skelmersdale
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 G.Digital, 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 G.Digital. 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 G.Digital
✨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 G.Digital!
✨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.
