At a Glance
- Tasks: Maintain and enhance data infrastructure for reliable reporting and analysis.
- Company: Join Barchester, a values-driven organisation focused on respect and empowerment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and data integrity.
- Why this job: Make an impact by transforming data into actionable insights for decision-making.
- Qualifications: Experience in Data Engineering or Data Analysis with strong SQL skills.
The predicted salary is between 45000 - 55000 £ per year.
As a Data Engineer, you will maintain and enhance the organisation's data infrastructure, ensuring reliable, timely data is available for reporting and analysis. You will work with data warehouses, ETL pipelines, and reporting tools such as Tableau and SSRS to transform data into structured, accessible formats. You will collaborate with stakeholders to understand data requirements, deliver solutions, and support decision-making across the business. The role also involves managing data integrations, maintaining data quality, and ensuring compliance with data protection regulations.
Key Responsibilities
- Maintain and enhance data warehouse structures and performance
- Design and implement ETL processes and scalable data models
- Optimise databases through query tuning and indexing
- Translate business requirements into technical specifications
- Develop, maintain, and improve Tableau dashboards and SSRS reports
- Ensure reports are accurate, user-friendly, and well-documented
- Monitor data quality, resolve issues, and maintain data integrity
- Manage and prioritise ad-hoc reporting requests effectively
- Develop reusable reporting components and support self-service tools
- Manage secure import/export of data, including validation, automation, and compliance
About You
You're an analytical and detail-oriented data professional with strong technical expertise and the ability to communicate effectively with all stakeholders. You can manage multiple priorities, work independently, and consistently deliver high-quality, reliable data solutions.
Essential Experience
- Experience working with non-technical stakeholders to deliver data and reporting solutions
- Background in a Data Engineering or Data Analyst role
- Strong understanding of database design and data modelling
- Strong SQL skills, including transactional SQL
- Experience with SSRS, Tableau, and SQL Server Analysis Services
- Knowledge of enterprise reporting and deployment practices
- Experience using cloud platforms (Azure, AWS or GCP) desirable
Why Join Barchester?
At Barchester, we are driven by our values: Respect | Integrity | Passion | Empowerment | Responsibility
Data Engineer in Moffat employer: Barchester Healthcare
Barchester is an exceptional employer that fosters a collaborative and innovative work culture, where data professionals can thrive. With a strong commitment to employee growth, we offer opportunities for continuous learning and development, alongside a supportive environment that values respect, integrity, and empowerment. Located in a vibrant community, our team enjoys a fulfilling work-life balance while contributing to meaningful projects that enhance decision-making across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Moffat
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL processes, data modelling, and reporting tools like Tableau. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL skills and understanding data warehousing concepts. Be ready to discuss how you've tackled data quality issues or optimised databases in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our values and the role requirements.
We think you need these skills to ace Data Engineer in Moffat
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data warehouses, ETL processes, and any tools like Tableau or SSRS that you've used. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed scalable data models or optimised databases. This gives us a clear picture of your hands-on experience and how you tackle real-world data challenges.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain how your background aligns with our needs and why you're excited about the opportunity at StudySmarter. We love enthusiasm!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Barchester Healthcare
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Tableau and SSRS. Be ready to discuss your experience with these tools and how you've used them to create reports or dashboards in the past.
✨Understand ETL Processes
Brush up on your knowledge of ETL processes and be prepared to explain how you’ve designed and implemented them. Think of examples where you optimised data flows or improved data quality, as this will show your practical experience.
✨Communicate Clearly with Stakeholders
Since the role involves working with non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully collaborated with different teams to meet their data needs.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles, particularly around data quality or integration issues. Highlight how you approached these problems and the solutions you implemented to ensure data integrity.
