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- Tasks: Join a health-tech start-up as a Data Engineer, focusing on data ingestion pipelines.
- Company: Innovative start-up in the health-tech sector, driving change through technology.
- Benefits: Earn up to £400 p/d, mostly remote work with office visits during onboarding.
- Why this job: Work with cutting-edge tech like Kafka and Spark, making a real impact in health.
- Qualifications: Experience with Kafka, Spark, ETL, Python, or Scala required.
- Other info: 6-month contract, ideal for mid-senior level professionals.
The predicted salary is between 72000 - 96000 £ per year.
I've partnered with a start-up in the health-tech space who are looking to hire a Data Engineer on a contract basis. The role focuses on data ingestion pipelines with a heavy focus on Kafka and Spark.
Experience needed:
- Kafka
- Spark
- ETL / Data Processing
- Python / Scala
Up to £400 p/d outside IR35
6 month contract
Mostly remote with an office visit during onboarding
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Interested, or know someone who would be? Click apply or get in touch directly on mgojzewski@trg-uk.com.
Data Engineer (Outside IR35 Contract) employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
mgojzewski@trg-uk.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Outside IR35 Contract)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, particularly Kafka and Spark. Consider building a small project or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the health-tech space or those who work with data engineering. Join relevant online communities or attend meetups to connect with others in the field, which could lead to valuable referrals or insights about the company.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL processes and data processing techniques. Be ready to discuss your previous projects and how you’ve implemented data ingestion pipelines, as this will be crucial for the role.
✨Tip Number 4
Since the position is mostly remote, ensure you have a reliable setup for virtual communication. Practice articulating your thoughts clearly and confidently during video calls, as this will help you make a strong impression during the interview process.
We think you need these skills to ace Data Engineer (Outside IR35 Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kafka, Spark, and ETL processes. Use specific examples of projects where you've successfully implemented data ingestion pipelines.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the health-tech space and explain how your skills in Python or Scala make you a great fit for the role. Mention any relevant projects or achievements.
Showcase Relevant Skills: Clearly list your technical skills related to data engineering, especially focusing on Kafka and Spark. If you have experience with remote work, mention it to align with the job's mostly remote nature.
Proofread Your Application: Before submitting, carefully proofread your application 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 trg.recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with Kafka and Spark during the interview. Be prepared to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your ETL Knowledge
Since the role focuses on data ingestion pipelines, be ready to explain your understanding of ETL processes. Discuss your approach to data processing and how you ensure data quality and integrity in your workflows.
✨Prepare for Problem-Solving Questions
Expect to encounter technical problem-solving questions related to data engineering. Practice coding challenges in Python or Scala, as these languages are crucial for the role. This will help you demonstrate your analytical skills and coding proficiency.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
