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- Tasks: Lead data engineering projects and optimise data systems for healthcare communication.
- Company: Join a health-tech company transforming healthcare with innovative SaaS solutions.
- Benefits: Enjoy flexible work, wellness perks, free meals, and a £600 annual development budget.
- Why this job: Be part of a mission-driven team making a real impact in healthcare.
- Qualifications: Proficient in SQL, Python, and ETL processes; experience in data security is a plus.
- Other info: Work hybrid in a vibrant Shoreditch office with opportunities for international work.
The predicted salary is between 43200 - 72000 £ 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.
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.
As a Senior Data Engineer, you’ll be the first hire in this role, reporting directly to the Head of Data. 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.
- 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.
- Azure Data Factory: 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.
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.
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.
Initial Chat: Meet with the team for a competency-based interview.
Technical Assessment Pt 1: Take home Task
Senior Engineer, Data Engineering employer: Zebra People | B Corp™
Contact Detail:
Zebra People | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Snowflake. Being able to discuss your hands-on experience with these tools during your initial chat will demonstrate your readiness for the role.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully tackled complex data challenges. This will be crucial during the competency-based interview, as they will want to see how you approach real-world issues.
✨Tip Number 3
Research the company’s mission and recent developments in healthcare technology. Being able to articulate how your values align with theirs and how you can contribute to their goals will make a strong impression.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. Gaining insights into the company culture and the team dynamics can help you tailor your approach and questions during the interview process.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, Python, and Azure Data Factory. Emphasise any projects where you've built scalable systems or integrated data across platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare technology and your understanding of the company's mission. Mention specific examples of how your skills align with the job requirements, especially in data transfers and machine learning integration.
Prepare for the Technical Assessment: Since there's a take-home task involved, brush up on your technical skills related to ETL processes and data pipeline optimisation. Be ready to demonstrate your problem-solving abilities and how you approach complex data challenges.
Showcase Your Collaboration Skills: In your application, highlight experiences where you've worked in cross-functional teams. This role values collaboration, so mentioning your ability to work with BI, Data Science, and Analytics teams will strengthen your application.
How to prepare for a job interview at Zebra People | B Corp™
✨Understand the Company’s Mission
Before your interview, take some time to research the company's mission and values. Since they are focused on revolutionising healthcare communication, be prepared to discuss how your skills and experiences align with their goals.
✨Showcase Your Technical Skills
Be ready to demonstrate your expertise in data engineering tools like SQL, Python, and Azure Data Factory. Prepare examples of past projects where you successfully built scalable systems or optimised data pipelines, as this will highlight your hands-on experience.
✨Prepare for Competency Questions
Since the initial chat involves competency-based questions, think of specific instances where you've solved complex data challenges or led a project. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data challenges or how they envision the future of their data engineering capabilities, which can demonstrate your enthusiasm and forward-thinking mindset.
