At a Glance
- Tasks: Develop and optimise complex database solutions while managing data migration and enhancing data governance.
- Company: Leading organisation in advanced engineering and technology, fostering a collaborative environment.
- Benefits: Competitive rate of £70 per hour, hybrid work model, and potential contract extension.
- Other info: Opportunity for career growth in a fast-paced, innovative environment.
- Why this job: Join a dynamic team to drive data strategy and make a real impact on business-critical systems.
- Qualifications: Proven experience as a Data Engineer, strong SQL skills, and excellent analytical abilities.
The predicted salary is between 70 - 70 £ per hour.
Do you have the right skills and experience for this role? Read on to find out, and make your application.
Location: Stevenage (Hybrid - 2-3 days onsite per week)
Contract: 12 Months (Extension possible)
Rate: £70 per hour (Inside IR35)
The Opportunity:
Our client, a leading organisation operating within a highly advanced engineering and technology environment, is seeking an experienced Data Engineer to join their Customer Support and Project Teams on an initial 12-month contract. This is an excellent opportunity for a data professional to play a key role in the development, optimisation and evolution of complex database solutions. You will be responsible for managing data migration from legacy systems, designing robust data models, improving database performance, and supporting business-critical management information systems. Working within a collaborative environment, you will help drive data strategy, enhance data governance, and ensure that data architecture meets both current and future business needs.
Key Responsibilities:
- Develop and maintain database solutions to efficiently store and retrieve business-critical information
- Install, configure and support information systems to ensure optimal functionality
- Analyse, plan and define data architecture frameworks, including security reference data
- Metadata master data management
- Migrate data from legacy systems into modern database solutions
- Design conceptual and logical data models and associated process flowcharts
- Improve system performance through testing, troubleshooting and integration of new technologies
- Optimise existing and newly developed database systems
- Define and maintain security, backup and recovery procedures
- Work closely with stakeholders across the business to identify future data requirements and objectives
- Support the development and implementation of data strategies and models
- Provide operational support for Management Information Systems (MIS)
Essential Skills & Experience:
- Proven experience working as a Data Engineer or in a similar role
- Strong proficiency in SQL (essential)
- Advanced Microsoft Excel skills
- Strong understanding of database structure and design principles
- Experience gathering and analysing system requirements
- Excellent analytical and problem-solving skills
- Ability to work effectively with both technical and non-technical stakeholders
SLM Data Engineer in Stevenage employer: Carbon
Carbon is an exceptional employer located in Bridgwater, offering a dynamic work culture that fosters collaboration and innovation in the food and beverage sector. With competitive salaries and a comprehensive benefits package, employees are encouraged to grow their skills and advance their careers through hands-on project management experience in a supportive environment. Join us to be part of a team that values your contributions and invests in your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land SLM Data Engineer in Stevenage
✨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 Carbon 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 Carbon.
✨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 Carbon.
We think you need these skills to ace SLM Data Engineer in Stevenage
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Carbon, 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 Carbon, 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 Carbon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Carbon
✨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 Carbon.
✨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 Carbon.
✨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 Carbon.
