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- Tasks: Join a dynamic team to manage data pipelines and solutions in healthcare.
- Company: A growing healthcare company focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, remote work options, and fantastic perks.
- Why this job: Be part of a collaborative environment with opportunities for growth and impact.
- Qualifications: Strong SQL/Python skills and experience with Azure/ADF required.
- Other info: This role is primarily remote within the UK.
The predicted salary is between 44000 - 48000 £ per year.
A growing company in the healthcare industry is seeking a proactive Data Engineer to join their innovative team.
THE COMPANY: This company is currently investing in their data team and is looking for a Data Engineer to help gather requirements and build solutions. This is an exciting opportunity to collaborate with Data Engineers and Data Scientists by being the subject matter expert in Data Bricks.
THE ROLE: A Data Engineer will need to:
- Work closely with stakeholders across the business
- Own data engineering roadmap
- Own data engineering lifecycle from ingestion to transformation
- Data pipelining (Azure and Databricks)
- Manage data warehouse (gathering requirements and building solutions)
- Ensure alignment with data management and quality
YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Experience with Azure/ADF
- Background in CI/CD
THE BENEFITS: You will receive a salary, dependent on experience, up to £60,000. On top of the salary, there are some fantastic extra benefits.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Data Engineer Databricks 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 Databricks
✨Tip Number 1
Familiarise yourself with Databricks and Azure by exploring their documentation and online tutorials. This will not only boost your confidence but also demonstrate your proactive approach to learning during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure and Databricks. Engaging in relevant forums or LinkedIn groups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with SQL and Python in detail. Be ready to share specific examples of projects where you used these skills, as this will help you stand out as a strong candidate.
✨Tip Number 4
Understand the healthcare industry’s data challenges and how data engineering plays a role in addressing them. This knowledge will show your genuine interest in the company and its mission during discussions.
We think you need these skills to ace Data Engineer Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Azure/ADF. Emphasise any previous roles where you interacted with stakeholders or managed data pipelines, as these are key aspects of the job.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your expertise in Databricks and data engineering, and how you can contribute to their team.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a brief section in your CV or cover letter that outlines these experiences. Highlight your role in the data engineering lifecycle and any successful outcomes.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Azure. Bring examples of past projects where you've successfully implemented data pipelines or managed data warehouses, as this will demonstrate your technical expertise.
✨Understand the Company’s Data Needs
Research the company’s current data initiatives and challenges in the healthcare industry. This will allow you to tailor your responses and show how your skills can directly address their needs.
✨Prepare for Stakeholder Interaction
Since the role involves working closely with stakeholders, think of examples where you've effectively communicated technical concepts to non-technical audiences. This will highlight your ability to bridge the gap between technical and business teams.
✨Demonstrate Your Proactivity
The job description mentions a proactive approach. Be ready to share instances where you took the initiative in previous roles, whether it was improving processes or leading projects, to show that you can take ownership of the data engineering roadmap.
