At a Glance
- Tasks: Design and build modern data platforms for advanced analytics.
- Company: Join Alfred H Knight, a leader in data solutions.
- Benefits: Competitive salary, supportive team, and career growth opportunities.
- Other info: Collaborative environment with a focus on innovation and teamwork.
- Why this job: Make an impact by enabling data-driven decisions across the organisation.
- Qualifications: Experience with SQL Server, ETL/ELT pipelines, and data quality maintenance.
The predicted salary is between 63000 - 77000 £ per year.
Alfred H Knight is seeking a Data Platform Engineer to join our Group IT team at our Prescot, Merseyside headquarters. You will design, build, and support modern data platform solutions, focusing on SQL Server environments, semantic models, and ETL/ELT pipelines to enable advanced analytics across the organisation.
You will work closely with the Data Engineering Lead and cross-functional teams to translate business requirements into scalable data solutions, maintain data quality, and drive.
Data Platform Engineer — Modern Analytics & Pipelines in Liverpool employer: AHK Group Ltd
Alfred H Knight is an excellent employer, offering a dynamic work environment at our Head Office in Prescot, where collaboration and support are at the forefront of our culture. We prioritise employee growth through ongoing training and development opportunities, ensuring that our team members can thrive in their roles while enjoying a healthy work-life balance. With a focus on teamwork and a commitment to excellence, we provide a rewarding workplace for those looking to make a meaningful impact in facilities operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer — Modern Analytics & Pipelines in Liverpool
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Platform Engineer — Modern Analytics & Pipelines in Liverpool
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!
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Craft a Tailored Cover Letter:For a full-time role at AHK Group Ltd, 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 AHK Group Ltd. 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 AHK Group Ltd
✨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!
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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
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✨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.
