At a Glance
- Tasks: Build a solid data foundation and collaborate on exciting analytical projects.
- Company: Join Hexegic, a forward-thinking tech consultancy with a focus on innovation.
- Benefits: Enjoy a £5000 professional development budget, wellness programs, and 25 days annual leave.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make a real impact in the health sector while developing your technical skills.
- Qualifications: Proficient in Python, with experience in Apache Spark and data analytics.
The predicted salary is between 50000 - 60000 £ per year.
Data engineers at Hexegic contribute to the development of a robust, validated and easily accessible data foundation. This foundation is instrumental in facilitating new analytical workflows and applications.
Core Responsibilities
- Establishing new data integrations within the data foundation.
- Collaborating with ontology experts and UK Health subject matter specialists to create data models.
- Conduct ETL activities as guided by SMEs.
- Configuring connections to other datasets within the data foundation.
- Collaborating closely with UK Health QA analysts and SMEs to test and validate output datasets.
- Setting up monitoring and ensuring data health for output datasets.
- Engaging with UK Health business analysts to produce comprehensive documentation on output datasets to enhance understanding of data pipelines and the data model.
What we are looking for
- Proficiency in Python, with experience in Apache Spark and PySpark.
- Previous experience with data analytics software.
- Ability to scope new integrations and translate analytical user requirements into technical specifications.
Benefits
- £5000 a year professional development budget
- Wellness program
- Private healthcare
- £100/month wellness fund
- 25 days annual leave
- Company pension
Who are Hexegic?
Hexegic are a tech consultancy specializing across software, data, cyber and IT. We support high performing businesses and government customers to empower them to safely and effectively achieve their objectives through deep technical expertise and the ability to think differently about problems.
SC Cleared Data Engineer: Data Foundation & ETL employer: 慨正橡扯
Hexegic is an exceptional employer that prioritises employee growth and well-being, offering a generous £5000 annual professional development budget and a comprehensive wellness programme. Our collaborative work culture fosters innovation and engagement, particularly in the dynamic field of data engineering within the UK Health sector, making it a rewarding environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Engineer: Data Foundation & ETL
✨Tip Number 1
Network like a pro! Reach out to current employees at Hexegic on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your proficiency in Python, Apache Spark, and ETL processes. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Be ready to discuss real-world scenarios! Think of examples where you've successfully collaborated with SMEs or tackled data integration challenges. This shows you're not just book-smart but also practical.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Hexegic team.
We think you need these skills to ace SC Cleared Data Engineer: Data Foundation & ETL
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role at Hexegic. Highlight your experience with Python, Apache Spark, and any relevant data analytics software. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to building a robust data foundation. Let us know what excites you about working with UK Health data.
Showcase Your Projects:If you've worked on any projects that involved ETL processes or data integrations, make sure to mention them. We love seeing real-world examples of your work, so don’t hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with Apache Spark and PySpark. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Data Foundation
Familiarise yourself with what a robust data foundation looks like and how it supports analytical workflows. Think about how you can contribute to establishing new data integrations and be prepared to share your ideas during the interview.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you've worked closely with subject matter experts or QA analysts. Highlight your communication skills and how you ensure everyone is on the same page when it comes to data models and ETL activities.
✨Documentation is Key
Be ready to discuss how you approach documentation for output datasets. Share your strategies for producing comprehensive documentation that enhances understanding of data pipelines, as this will show your attention to detail and commitment to clarity.
