At a Glance
- Tasks: Develop data integrations and support analytical users in the UK Health sector.
- Company: Hexegic is a forward-thinking IT services company focused on health data solutions.
- Benefits: Enjoy a hybrid work model and gain experience with top industry professionals.
- Other info: Entry-level position, perfect for recent graduates or those looking to start their career.
- Why this job: Join a dynamic team to make a real impact on health data analytics.
- Qualifications: Comfortable with Python; experience with Apache Spark and data analytics software preferred.
The predicted salary is between 28800 - 43200 £ per year.
Location: London/Hybrid
Overview
Do you want to develop your career in Data Engineering?
This role will be a great opportunity to develop professionally working with some of the brightest minds in the field.
Data Engineers are responsible for aiding UK Health in developing a cleaned, validated, and discoverable data foundation to enable new analytical workflows and applications.
They will need to work closely with UK Health subject matter experts to scope new data integrations, design a data model, and perform data cleansing and transformation within the data analytics platform.
Core activities
Establish new integrations into the data foundation.
- The engineer will get to work with ontology experts and UK Health subject matter experts to map out a data model.
- Data cleansing and transformation as defined with subject matter experts.
- Configure links to other datasets in the data foundation.
- Work with UK Health QA analysts and subject matter experts to test and validate the output datasets.
- Set up schedules to regularly update the data in analytics platform.
- Configure monitoring and data health on output datasets.
- Liaise with UK Health business analysts to produce documentation on output datasets to aid understanding of pipelines and the data model.
Provide support to analytical users of the data foundation.
- Once data is integrated into the data foundation, it is important that support is provided to UK Health analytical users to create new analytical workflows.
- The engineer will supply advice to analytical users on how they can access and utilise the new datasets.
Qualities
- Comfortable with Python - ideally experience with Apache Spark and Pyspark
- Previous data analytics software experience
- Able to scope new integrations and translate analytical user needs into technical requirement.
UK based – data analytics system can only be accessed in the UK.
Data Engineer – UK Health in London employer: Hexegic
Hexegic is an exceptional employer that prioritises the professional growth and well-being of its employees, offering a generous £5,000 annual development budget and a comprehensive wellness programme including private healthcare. With a collaborative work culture in London, employees are encouraged to contribute to innovative projects in a secure environment, ensuring both personal and professional fulfilment while working alongside a talented team dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – UK Health in London
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Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hexegic!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hexegic.
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We think you need these skills to ace Data Engineer – UK Health in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hexegic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hexegic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hexegic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hexegic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
