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- 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.
- 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.
- Other info: Be the first hire in a greenfield environment, shaping the future of data.
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 employer: G.Digital
Contact Detail:
G.Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as Glue, Athena, and Lambda. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Network with professionals in the healthcare tech space, especially those who have experience in data engineering roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous experiences in building ETL pipelines and how you've enforced data quality and governance. Be ready to share specific examples that demonstrate your problem-solving skills in a greenfield environment.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts to non-technical stakeholders. This role requires clear communication, so think of ways to illustrate your past experiences where you successfully bridged the gap between technical and non-technical teams.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and requirements for the Senior Data Engineer position. Tailor your application to highlight relevant experience in data engineering, AWS technologies, and building ETL pipelines.
Highlight Relevant Skills: Make sure to emphasise your hands-on experience with AWS Glue, Athena, Lambda, S3, and Step Functions. Include specific examples of projects where you used Python and SQL to solve data-related challenges.
Showcase Your Impact: In your CV and cover letter, illustrate how your work has positively impacted previous teams or projects. Mention any improvements in data quality, governance, or performance SLAs that you have achieved.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for making healthcare more affordable and accessible through technology. Connect your personal values with the company's mission.
How to prepare for a job interview at G.Digital
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AWS services like Glue, Athena, and Lambda. Bring examples of past projects where you built ETL pipelines or data lakes, and be ready to explain the architecture and tools you used.
✨Demonstrate Problem-Solving Abilities
Since this role involves working in a greenfield environment, highlight your ability to think critically and solve complex problems. Share specific instances where you successfully tackled challenges in data engineering or backend roles.
✨Communicate Clearly
As the role requires collaboration with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between different stakeholders effectively.
✨Understand Data Governance
Familiarise yourself with data quality, governance, and performance SLAs. Be ready to discuss how you've enforced these in previous roles and why they are crucial for building reliable data systems.
