At a Glance
- Tasks: Design and implement cloud-native data solutions while collaborating with diverse teams.
- Company: Join a leading public sector organisation focused on innovative data engineering.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic role with a commitment to diversity, equality, and inclusion.
- Why this job: Make a real impact in the NHS by transforming data into actionable insights.
- Qualifications: Proficiency in R, Python, SQL, and experience with cloud platforms like GCP.
The predicted salary is between 31.18 - 31.18 £ per hour.
- Role: Advanced Data Engineer
- Contract Length: 4.5 months
Location: Remote (Base location is Cardiff. Will need to collect laptop and may require the occasional day in the office)
- IR35: Inside
- Pay Rate to Intermediary: Up to £31.18 per hour
Spinwell is recruiting for an Advanced Data Engineer for an excellent opportunity within the public sector.
- ADVANCED DATA ENGINEER JOB DESCRIPTION
- Core Technical Skills
- Proficient in programming languages including R, Python and SQL; experience with R desirable.
- Experience with relational databases and data warehousing.
- Experience using Git-based version control systems (e. g. Git Hub, Git Lab, Azure Dev Ops) and collaborative software development practices.
- Experience working within Agile delivery environments.
- Experience designing and implementing cloud-native data solutions, preferably on Google Cloud Platform (GCP).
- Experience migrating data platforms, pipelines and services from on-premises infrastructure to cloud environments.
- Strong understanding of data modelling techniques, including conceptual, logical and physical data models.
- Ability to design, build, test and maintain scalable data pipelines and data products.
- Experience implementing CI/CD practices and automated deployment pipelines.
- Experience using containerisation technologies such as Docker.
- Experience designing and implementing ETL/ELT pipelines.
- Experience with workflow orchestration tools (e. g. Airflow, Prefect, Dagster, Cloud Composer).
- Experience working with large-scale datasets and distributed data processing technologies (e. g. Spark, Dataproc, Big Query).
- Experience monitoring, troubleshooting and optimising data pipelines and platform performance.
- Understanding of Dev Ops and Data Ops principles.
- Experience working with APIs and data integration techniques.
- Data Engineering and Architecture
- Understanding of how data platforms integrate with wider organisational systems.
- Experience with metadata management, data catalogues and data lineage tools.
- Experience implementing data quality assessment, data profiling and data validation frameworks.
- Governance and Security
- Knowledge of information governance, data protection legislation (including UK GDPR and Data Protection Act 2018), and secure data handling practices.
- Understanding of ethical considerations associated with the use of data and analytics.
- Software Engineering Practices
- Ability to design, develop, test, document and maintain production-quality code and data pipelines.
- Experience conducting code reviews and applying software engineering best practices, including refactoring, testing and technical documentation.
- Communication and Stakeholder Engagement
- Ability to communicate effectively with technical and non-technical stakeholders and work collaboratively within multidisciplinary teams.
- Ability to translate business requirements into technical data solutions and communicate technical concepts to diverse audiences.
Qualifications
- Undergraduate degree in Computer Science or related technical field. Will also consider equivalent work experience
- GCP Data Engineer / Architect certification desirable
If you are an Advanced Data Engineer, apply now or send your CV to Spinwell!
We welcome all applications regardless of background, in line with our commitment to diversity, equality and inclusion.
Applying to this or any other vacancy advertised by Spinwell Ltd constitutes an agreement for Spinwell Ltd to hold your details for 24 months for the purpose of assessing suitability for the advertised position and to make you aware of any other positions deemed suitable of which You will make you aware by means of either email, text or phone.
In line with GDPR regulations you are able to request your details be removed from the company data at any time by emailing us
About You
Not Specified
About Us
Advanced Data Engineer - NHS employer: Spinwell Global
Spinwell is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the public sector. With a strong commitment to employee growth, we provide opportunities for coaching and mentoring within agile teams, ensuring that our staff can enhance their skills while contributing to meaningful projects in Edinburgh or Glasgow. Our inclusive culture values diversity and encourages the adoption of cutting-edge technologies, making it a rewarding place for passionate software engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Advanced Data Engineer - NHS
✨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 Spinwell Global 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
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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 Spinwell Global.
We think you need these skills to ace Advanced Data Engineer - NHS
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Spinwell Global, 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 Spinwell Global, 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 Spinwell Global’s attention and show the tangible impact of your work.
How to prepare for a job interview at Spinwell Global
✨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 Spinwell Global.
✨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 Spinwell Global.
✨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 Spinwell Global.
