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- Tasks: Design and build scalable data solutions that drive smarter decision-making.
- Company: Join a forward-thinking data team in a dynamic, remote environment.
- Benefits: Competitive salary up to £72,000 plus generous bonuses and flexible work options.
- Other info: Enjoy autonomy in your work with excellent career growth opportunities.
- Why this job: Make a real impact by unlocking valuable insights through innovative data engineering.
- Qualifications: Experience in data engineering and a passion for collaboration and innovation.
The predicted salary is between 72000 - 72000 £ per year.
Location: Remote / monthly visits to Cardiff
Salary: up to £72,000 with generous bonus
We're looking for a Data Engineer to join a forward-thinking data team focused on enabling smarter decision-making across the business. This team plays a key role in shaping and delivering data platforms, pipelines, and analytics capabilities that empower users and unlock valuable insights.
The Role
As a Data Engineer, you'll design, build, and maintain scalable data solutions that meet both business and customer needs. You'll work within a collaborative, cross-functional team while also having the autonomy to take ownership of your work, contribute ideas, and drive innovation. You'll be involved throughout the full lifecycle of data engineering - from ingestion and transformation to delivery and ongoing support - in a modern, cloud-based environment.
Key Responsibilities
- Develop and maintain robust data pipelines and data solutions across multiple sources
- Translate complex data into actionable insights that support business objectives
- Ensure solutions align with engineering standards, governance, and regulatory requirements
- Contribute to a culture of automation, quality, and continuous improvement
- Collaborate with stakeholders across IT and the wider business
- Participate in Agile ceremonies
Data Engineer in Cardiff employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects. Whether it’s a GitHub repo or a personal website, let your work speak for itself and impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your past projects. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud environments, and any relevant projects that showcase your skills. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention specific tools and technologies you’ve worked with, especially those related to data ingestion, transformation, and analytics. We’re keen to know what you bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re serious about joining our awesome team!
How to prepare for a job interview at Sanderson
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data pipelines and cloud-based solutions. Be ready to discuss your experience with tools and technologies relevant to the role, like ETL processes, data warehousing, and any specific platforms mentioned in the job description.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your ability to translate data into actionable insights that drive business decisions.
✨Emphasise Collaboration and Communication
Since this role involves working within a cross-functional team, be ready to discuss how you’ve collaborated with stakeholders in previous roles. Share specific instances where your communication skills helped bridge gaps between technical and non-technical teams.
✨Demonstrate a Growth Mindset
Talk about your commitment to continuous improvement and learning. Mention any recent courses, certifications, or projects that showcase your desire to stay updated with industry trends and best practices in data engineering.