Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Engineer to build and maintain data pipelines that drive business decisions.
- Company: Karndean Designflooring UK is a leading luxury flooring brand with a rich history since 1973.
- Benefits: Enjoy flexible working, competitive salary, 33 days holiday, and employee discounts.
- Why this job: Be part of a passionate team, contribute innovative ideas, and grow your career in a supportive environment.
- Qualifications: Strong experience in data engineering, proficiency in SQL and Python, and knowledge of cloud platforms required.
- Other info: We value diversity and inclusivity, offering a fun workplace with opportunities for learning and development.
The predicted salary is between 28800 - 42000 £ per year.
Data Engineer
In 1973, Karndean started life as a small family business. Now we are one of the world\’s most renowned and respected luxury flooring brands. We recognise our people as being the key drivers of our success and its their passion and innovation that has allowed us to continue growing as a business.
We have an exciting opportunity for a Data Engineer to join our team. This position is pivotal to the delivery and continuous improvement of data-driven projects that empower data-driven decisions across the company.
This position is based in the Data & Analytics Team and answers to the Data & Analytics Manager. As a Data Engineer, you will develop, build, and maintain data pipelines, ensuring the availability and integrity of data across the business. You will collaborate with departments across the business to understand their needs, enhance data quality, and deliver actionable insights with the Digital team.
Responsibilities:
Data Infrastructure & Pipeline Development
- Develop and maintain efficient and scalable data pipelines and ETL processes to support data integration from various sources.
- Ensure data quality, consistency, and reliability by implementing robust data validation and monitoring frameworks.
- Collaborate with the Data & Analytics Team to design and optimise data storage solutions.
Data Integration & Automation
- Automate data ingestion and transformation workflows to improve efficiency and reduce manual intervention.
- Implement best data architecture and governance practices, adhering to industry standards.
- Work closely with IT and third-party providers to ensure seamless data integration from diverse systems and platforms.
- Troubleshoot and resolve issues related to data pipelines, infrastructure, and performance.
Collaboration & Stakeholder Engagement
- Work alongside stakeholders to understand data requirements and provide data-driven solutions that support strategic initiatives.
- Support the Data & Analytics Team in delivering insights and analytics to drive business decisions.
- Assist in the implementation and optimisation of business intelligence tools to empower data access across the company.
Innovation & Continuous Improvement
- Stay updated with emerging technologies and best practices in data engineering and suggest improvements to our data ecosystem.
- Participate in continuous improvement initiatives, applying best practices to improve data management and reporting.
Requirements:
- Strong experience in a Data Engineering role or similar, with a strong background in data architecture and ETL pipeline development.
- Proficiency in programming languages such as SQL, and Python and experience with cloud platforms (e.g., AWS, Azure, or Snowflake).
- Solid understanding of data modelling, database management in ERP and CRM systems, and data warehousing concepts.
- Experience with business intelligence and data visualisation tools (e.g. Tableau, Power BI) is desirable.
- Strong problem-solving skills and a safe, methodical approach.
- Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
- Ability to work both independently and collaboratively in a fast-paced environment.
Our Company:
Karndean Designflooring UK is based in Evesham, Worcestershire across three sites with excellent facilities.
We offer a huge range of benefits but here are some of the headlines:
- Competitive salary
- Flexible and hybrid working (3 days in office)
- Employee discount
- Health cash plan
- 33 days holiday all in including a day off for your birthday (increasing with service)
- Enhanced pension scheme
- Enhanced maternity and paternity benefits
- Enhanced sick pay
- Learning and development opportunities
- Paid Volunteering day
- Regular employee awards with up to £1,000 monetary prizes
- An employee benefits platform with national discounts
As part of our company you will enjoy working with a team of incredibly passionate, fun people and have the opportunity to contribute innovative ideas direct to the executive leadership team as well as progressing your career.
At Karndean we are committed to recruiting and retaining a diverse workforce with an equitable, inclusive environment.
Karndean Designflooring UK | Data Engineer employer: Karndean Designflooring UK
Contact Detail:
Karndean Designflooring UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Karndean Designflooring UK | Data Engineer
✨Tip Nummer 1
Nutze dein Netzwerk! Sprich mit aktuellen oder ehemaligen Mitarbeitern von Karndean Designflooring, um mehr über die Unternehmenskultur und die spezifischen Anforderungen der Data Engineer-Position zu erfahren. Oft können persönliche Empfehlungen den Unterschied machen.
✨Tip Nummer 2
Bleib auf dem Laufenden über die neuesten Trends in der Datenverarbeitung und -analyse. Zeige in Gesprächen oder Interviews, dass du dich aktiv mit neuen Technologien und Best Practices auseinandersetzt, um deine Fähigkeiten kontinuierlich zu verbessern.
✨Tip Nummer 3
Bereite dich darauf vor, konkrete Beispiele für deine Erfahrungen mit ETL-Prozessen und Datenpipelines zu teilen. Überlege dir, wie du Herausforderungen gemeistert hast und welche Lösungen du implementiert hast, um die Datenqualität zu verbessern.
✨Tip Nummer 4
Zeige deine Kommunikationsfähigkeiten! Da du mit verschiedenen Stakeholdern zusammenarbeiten wirst, ist es wichtig, dass du komplexe Datenkonzepte einfach erklären kannst. Übe, technische Informationen klar und verständlich zu präsentieren.
We think you need these skills to ace Karndean Designflooring UK | Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position at Karndean. Understand the key responsibilities and required skills, such as data pipeline development and proficiency in SQL and Python.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, ETL processes, and any specific tools mentioned in the job description, like AWS or Tableau. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with Karndean's goals. Mention specific projects or experiences that demonstrate your ability to deliver data-driven solutions.
Highlight Collaboration Skills: Since the role involves working with various stakeholders, emphasize your communication and collaboration skills. Provide examples of how you've successfully worked with non-technical teams to achieve data-driven outcomes.
How to prepare for a job interview at Karndean Designflooring UK
✨Understand the Data Engineering Landscape
Make sure you have a solid grasp of data architecture, ETL processes, and the specific tools mentioned in the job description, like SQL and Python. Be prepared to discuss your experience with cloud platforms such as AWS or Azure.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in the past. Highlight your methodical approach and how it led to successful outcomes, especially in a fast-paced environment.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. Since you'll be working with non-technical stakeholders, demonstrating your ability to bridge that gap will be crucial.
✨Emphasize Collaboration
Be ready to discuss your experience working with cross-functional teams. Share examples of how you've engaged with different departments to understand their data needs and deliver actionable insights.
