At a Glance
- Tasks: Transform data into actionable insights and develop robust data pipelines using Azure services.
- Company: Join a global brand in the life sciences sector with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on best practices and career advancement.
- Why this job: Make a real impact by delivering high-quality data solutions that support vital research.
- Qualifications: Degree in IT, expertise in Azure, and experience with data modelling and ETL frameworks.
The predicted salary is between 45000 - 55000 £ per year.
We are looking for an experienced ETL Data Engineer / Data Architect to deliver projects in collaboration with our IT partners and internal stakeholders that will transform our product landscape. This role is hands-on so you would be expected to contribute to ETL development as well as data architecture. You will be taking business requirements from structured data sets from the research teams and transforming them into technical documents.
Essential Skills
- Educated to degree level in a relevant IT subject.
- Expertise in designing and implementing data pipelines using Azure services (Azure Data Factory, Data storage), Spark and Databricks.
- Expertise in data modelling, database design and designing enterprise data architecture.
- Azure Data Stack SQL server, NoSQL, Nanobricks, ADT, Spark, Data Tables.
- API, PostgreSQL.
- Knowledge of ETL/ELT frameworks and data integration patterns with programming experience with Python or PySpark.
- Data modelling.
- Used to working with product teams.
- Ability to collaborate and communicate with stakeholders and product manager.
Desirable Skills
- Experience of the life sciences sector.
- Experience working with structured and semi-structured data, preferably having worked previously with a variety of life science data (e.g. omics, health records).
Key Duties
- Deliver data pipelines or products that support our business operations and research, providing clear documentation on specifications and having a deep understanding of each solution at the data, technical and business process levels.
- Implement data engineering best practices to standardise the development process.
- Design and maintain data integration frameworks for multiple data sources (e.g. practice management systems, lab systems, registries).
- Be responsible for ensuring that high quality data is presented from the products to our researchers, and data dictionaries are maintained in the data catalogue.
The role offers hybrid working with only one day a week required on site near Nottingham. This is a great opportunity to secure a long term contract working for a global brand.
ETL Data Engineer / Data Architect - Azure Services. Job in Nottingham LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a forward-thinking company that values innovation and collaboration, where as an ETL Data Engineer/Data Architect, you will play a pivotal role in transforming our product landscape. With a strong emphasis on employee growth, we offer opportunities for professional development and a supportive work culture that encourages creativity and teamwork. Enjoy the flexibility of hybrid working, with just one day a week required on-site near Nottingham, making it an ideal environment for those seeking a meaningful and rewarding career.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ETL Data Engineer / Data Architect - Azure Services. Job in Nottingham LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL projects and data architecture designs. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Azure Data Factory, Spark, and data modelling. Practice common interview questions related to data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ETL Data Engineer / Data Architect - Azure Services. Job in Nottingham LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ETL Data Engineer/Data Architect role. Highlight your experience with Azure services, data pipelines, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've designed and implemented data architectures or ETL processes. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your cover letter or any additional documentation, keep it clear and to the point. We appreciate straightforward communication, so make sure to outline your skills and experiences without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly 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 United Cerebral Palsy of Georgia
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Azure Data Factory and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with ETL/ELT frameworks. Have specific examples ready that demonstrate your ability to design and implement data pipelines, and be prepared to explain the technical details in a way that non-technical stakeholders can understand.
✨Communicate Clearly with Stakeholders
Since this role involves collaboration with various teams, practice articulating complex data concepts in simple terms. Think of scenarios where you've successfully communicated with product managers or researchers, and be ready to share those stories.
✨Bring Your Problem-Solving Skills
Be prepared to discuss how you've tackled data integration challenges in the past. Think of specific instances where you had to work with structured and semi-structured data, and how you ensured high-quality data delivery to your team.
