At a Glance
- Tasks: Manage data warehouse plans and build new data models for exciting products.
- Company: Global tech company with a focus on innovation and user satisfaction.
- Benefits: Competitive pay, remote work flexibility, and a chance to work with industry experts.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact on user experience and company growth using massive data.
- Qualifications: 5+ years in data warehousing, ETL design, and programming (Python preferred).
The predicted salary is between 46 - 46 £ per hour.
A global technology company are looking for an experienced Data Engineer to join their team on an initial 9 month assignment. The data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. The successful Data Engineer will work with some of the brightest minds in the industry, and you'll get an opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match.
Responsibilities:
- Manage data warehouse plans for a product or a group of products.
- Interface with engineers, product managers and product analysts to understand data needs.
- Build data expertise and own data quality for allocated areas of ownership.
- Design, build and launch new data models in production.
- Design, build and launch new data extraction, transformation and loading processes in production.
- Support existing processes running in production.
- Define and manage SLA for all data sets in allocated areas of ownership.
- Work with data infrastructure to triage infra issues and drive to resolution.
Skills/ Experience:
- 5+ years experience in the data warehouse space.
- 5+ years experience in custom ETL design, implementation and maintenance.
- 5+ years experience with programming languages (Python or Java), Python preferred.
- 5+ years experience in writing efficient SQL statements.
- Experience working for a large technology company.
- Experience working with either a Map Reduce or an MPP system.
- Hands on and deep experience with schema design and dimensional data modelling.
- Ability to analyse data to identify deliverables, gaps and inconsistencies.
- Excellent communication skills including the ability to identify and communicate data driven insights.
- Ability and interest in managing and communicating data warehouse plans to internal clients.
- BS/BA in Technical Field, Computer Science or Mathematics.
Please note: We can only consider applications from candidates who have the right to work in the UK.
Remote Data Engineer in Chester employer: Huntress
Join a leading global technology company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact user satisfaction and company growth. With a strong focus on employee development, you will have the opportunity to work alongside industry experts, tackle complex challenges, and enhance your skills in a supportive environment. Enjoy the flexibility of remote work while being part of a diverse team committed to inclusivity and equal opportunity.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer in Chester
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Huntress before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Huntress.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Huntress.
We think you need these skills to ace Remote Data Engineer in Chester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Huntress, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Huntress, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Huntress’s attention and show the tangible impact of your work.
How to prepare for a job interview at Huntress
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Huntress.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Huntress.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Huntress.
