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For Companies At a Glance
- Tasks: Monitor and optimise ETL workflows, migrate legacy jobs, and collaborate on data architecture.
- Company: Join a dynamic start-up focused on revolutionising healthcare with AI technology.
- Benefits: Enjoy remote work flexibility and the chance to grow your skills in a supportive environment.
- Why this job: Be part of a mission-driven team impacting mental health through innovative data solutions.
- Qualifications: 2-3 years of experience or impressive grad projects in data engineering; STEM degree required.
- Other info: Engage in a collaborative culture with opportunities for personal growth and career advancement.
The predicted salary is between 42000 - 84000 £ per year.
This start-up focuses on healthcare AI and is looking for a Data Engineer to join their team. You will be joining a team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers.
Day-to-day you will:
- Monitor, optimise and rebuild ETL / Delta Lake workflows in Databricks.
- Migrate legacy ingestion jobs to modern, cloud-native patterns (Azure preferred, some AWS/GCP).
- Collaborate with scientists to understand study goals, e.g., young mental health surveys, and shape the data architecture behind them.
- Own slices of the backend and grow toward analytics, ML or architecture as you choose.
About you:
- 2-3 years' experience (or outstanding grad projects) in data engineering.
- Solid Python or R plus SQL; comfortable with Spark / Databricks.
- STEM degree (CS, Math, Physics or similar).
- Curious, collaborative.
Interview Process:
- Technical interview with head of engineering.
- Culture fit with CP and another data scientist.
- CEO sign off chat.
Data Engineer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its ETL workflows. Since the role involves optimising and rebuilding these workflows, having hands-on experience or projects showcasing your skills in this area will make you stand out.
✨Tip Number 2
Brush up on your cloud knowledge, particularly Azure, as it's preferred for this position. Understanding how to migrate legacy ingestion jobs to cloud-native patterns will be crucial, so consider exploring relevant tutorials or courses.
✨Tip Number 3
Showcase your collaborative skills by preparing examples of past teamwork experiences. This role requires working closely with data scientists, so demonstrating your ability to communicate and collaborate effectively will be key.
✨Tip Number 4
Research the healthcare AI sector and be ready to discuss how data engineering can impact mental health studies. Showing genuine interest in the company's mission and how your role contributes to it can set you apart during interviews.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experiences required for the Data Engineer position. Highlight your relevant experience in data engineering, especially with ETL processes and cloud technologies.
Tailor Your CV: Customise your CV to reflect the skills mentioned in the job description. Emphasise your experience with Python, SQL, and any work you've done with Databricks or cloud platforms like Azure, AWS, or GCP.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare AI and your understanding of the company's mission. Mention specific projects or experiences that align with the role and demonstrate your collaborative spirit.
Prepare for Interviews: Anticipate technical questions related to data engineering and be ready to discuss your past projects. Also, prepare to articulate how you would fit into the company culture and collaborate with the team.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL processes, Databricks, and cloud platforms like Azure. Highlight specific projects where you've optimised workflows or migrated legacy systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the start-up's focus on healthcare AI and be ready to discuss how your skills can contribute to their goals. Showing genuine interest in their projects, such as young mental health surveys, will help you connect with the interviewers.
✨Prepare for Collaboration Questions
Since the role involves working closely with Data Scientists and ML Engineers, think of examples that showcase your collaborative spirit. Be ready to discuss how you've worked in teams to achieve common goals and how you handle differing opinions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
