At a Glance
- Tasks: Develop and optimise data pipelines for high-volume healthcare data.
- Company: Join a leading organisation transforming healthcare through data analytics.
- Benefits: Enjoy flexible working options, competitive salary, and professional development opportunities.
- Other info: Opportunity to work with cutting-edge technologies in a supportive environment.
- Why this job: Make a real impact in healthcare while collaborating with innovative teams.
- Qualifications: Degree in Computer Science or Data Engineering; experience with NHS systems is essential.
The predicted salary is between 48000 - 72000 £ per year.
Key aspects of the role include:
- Data Pipeline Development: Architect, develop, and optimise data extraction, transformation, and loading (ETL) processes for high-volume healthcare data.
- Integration of NHS Systems Data: Work directly with NHS data sources and ensure seamless integration of systems like UDAL, NCDR, SUS+, HES, and ODS into our analytics platform.
- System Performance: Monitor and enhance the performance of our data systems to ensure reliability and responsiveness.
- Collaboration: Partner with data scientists, analysts, and stakeholders to ensure that data solutions align with business needs and analytic strategies.
- Scalability & Security: Implement and enforce best practices for data security, quality, and scalability across our data infrastructure.
Essential Skills:
- Healthcare Data Expertise: Proven experience in designing and managing data solutions within healthcare environments. Demonstrated ability to work with NHS systems—such as UDAL, NCDR, SUS+, HES, and ODS—and to address the unique challenges these datasets present.
- Data Engineering Proficiency: Advanced proficiency in building and maintaining robust data pipelines using ETL tools and frameworks. Familiarity with data warehousing concepts and experience in developing scalable, high-performance data architectures.
- Technical Expertise: Strong command of SQL and scripting languages, along with experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with Azure Data Factory and Databricks, as these tools are integral to managing data within the UDAL platform.
- Data Quality and Governance: Experience in implementing data quality controls, data cleansing routines, and establishing governance frameworks to ensure data integrity and compliance with data security standards.
- Collaboration and Communication: Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. Proven experience working in cross-functional teams to deliver data-driven insights that support healthcare decision-making.
Desirable Skills:
- Advanced Analytics Integration: Experience integrating data engineering workflows with analytics platforms, including familiarity with business intelligence tools (e.g., Power BI, Tableau) and predictive analytics.
- Regulatory and Compliance Knowledge: Awareness of industry standards and regulations, particularly those applicable to healthcare data, with an emphasis on data privacy and security (e.g., GDPR, NHS Digital guidelines).
Educational Background:
- Degree or equivalent in Computer Science, Data Engineering, or a related technical field; professional qualifications or certifications in data engineering or cloud technologies are a plus.
Locations
Senior Data Engineer in Cheshire, Warrington employer: TTC Group
As a Senior Data Engineer at our organisation, you will be part of a dynamic team dedicated to transforming healthcare data into actionable insights. We pride ourselves on fostering a collaborative work culture that values innovation and professional growth, offering extensive training opportunities and support for career advancement. Located in a vibrant area with access to cutting-edge technology and resources, we provide a unique environment where your contributions directly impact the healthcare sector, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Cheshire, Warrington
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like TTC Group!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Data Engineer in Cheshire, Warrington
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at TTC Group, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at TTC Group
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with TTC Group’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
