At a Glance
- Tasks: Implement cutting-edge data systems to revolutionise healthcare communication.
- Company: Health-tech company transforming the healthcare sector with a user-centric SaaS platform.
- Benefits: Up to £100K salary, flexible perks, hybrid work, and a £600 annual development budget.
- Other info: Enjoy free healthy meals and enhanced parental leave in a vibrant Shoreditch office.
- Why this job: Make a real impact in healthcare while collaborating in a dynamic, innovative environment.
- Qualifications: Strong expertise in Azure Data Factory, Python, SQL, and ETL processes.
The predicted salary is between 90000 - 100000 £ per year.
Are you looking for a role where you can implement cutting-edge data systems in a company making a real difference in healthcare? Do you want to be part of a mission-driven team revolutionising how healthcare teams communicate, while working in a hybrid setup that values collaboration and flexibility?
If you’re a Data Engineer with a passion for building scalable systems and solving complex data challenges, this could be the perfect role for you.
This health-tech company is revolutionising communication in the healthcare sector with a user-centric SaaS platform. Widely adopted in primary care, it is expanding into hospitals, pharmacies, and other healthcare environments. By partnering with healthcare professionals, the company is driving meaningful improvements in how care is delivered. Backed by recent funding, they are scaling their product and entering new areas of healthcare.
This is a hands-on position where you’ll run requirements-gathering workshops and drive forward the data engineering capabilities. You’ll work with cross-functional product teams, collaborating with sub-teams in BI, Data Science & Analytics, and Data Engineering to align data strategies and optimise infrastructure.
Your work will include:
- Data Transfers: Solving the challenge of transferring large tables from SQL Server to Snowflake and ensuring data flows smoothly across the organisation.
- Integration & Standardisation: Integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems.
- Machine Learning Integration: Supporting machine learning workflows by building and optimising data pipelines, with experience in either fine-tuning or deploying models to production.
You’ll bring strong expertise in:
- Azure Data Factory: Experience working at scale is highly valued.
- Python: Advanced skills to build and optimise data pipelines.
- SQL: Proficient in querying and transforming data to ensure accuracy.
- ETL: Experience with designing and managing ETL processes for data integration and transformation.
- Cloud Environments: Hands-on experience with Azure, including setting up and managing environments for production use.
Bonus points if you have experience setting up data production environments from scratch, including server configuration and environment setup, or if you’ve worked with SQL to Snowflake integrations. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart.
You’ll thrive in this role if you’re motivated by improving healthcare, adaptable to change, and eager to own your work in a dynamic environment. Whether your background is in startups or larger organisations, your ability to build scalable, robust systems will make an impact.
You’ll receive a salary of up to £100K, alongside benefits including access to a flexible perks platform where you can choose private health insurance, wellness options, and more. You’ll work in a hybrid environment, where you’ll collaborate three days a week in a vibrant Shoreditch office with your team. The office offers free healthy breakfasts, lunches, and snacks, prepared by an in-house chef. You’ll also benefit from a £600 annual development budget, enhanced parental leave, and even a policy that allows you to work abroad for short periods.
Senior Data Engineer – HealthTech Data Pipelines (Hybrid) employer: Zebra People
This health-tech company is an exceptional employer, offering a dynamic hybrid work environment that fosters collaboration and innovation in the healthcare sector. With a strong focus on employee well-being, you will enjoy benefits such as flexible perks, a generous development budget, and a vibrant office culture complete with healthy meals prepared by an in-house chef. Join a mission-driven team where your contributions will directly impact the future of healthcare communication and where opportunities for professional growth are abundant.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – HealthTech Data Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Azure Data Factory, Python, and SQL. We want you to shine when discussing how you can tackle those data challenges!
✨Tip Number 3
Show your passion for healthcare! Be ready to discuss how your work can make a difference in the sector. We love candidates who are motivated by improving healthcare and can articulate their vision.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talent that aligns with our mission-driven approach.
We think you need these skills to ace Senior Data Engineer – HealthTech Data Pipelines (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your expertise in Azure Data Factory, Python, and SQL, and don’t forget to mention any relevant projects that showcase your ability to solve complex data challenges.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for healthcare and how your background makes you a perfect fit for our mission-driven team. Be sure to mention specific examples of how you've built scalable systems or optimised data pipelines in the past.
Showcase Your Problem-Solving Skills:In your application, emphasise your experience with data transfers and integration. We want to see how you've tackled challenges like moving large tables from SQL Server to Snowflake, so share those stories that demonstrate your problem-solving prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Zebra People
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Python, and SQL. Brush up on your experience with data pipelines and ETL processes, as these will be key topics during the interview. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you had to optimise data flows or integrate different systems. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Mission
Familiarise yourself with the health-tech company’s goals and how they aim to revolutionise healthcare communication. Showing that you understand their mission and values will help you connect with the interviewers and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data engineering challenges they face, and how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
