At a Glance
- Tasks: Transform data into actionable insights and develop robust data pipelines.
- Company: Join a global brand in the life sciences sector with a collaborative culture.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Great long-term contract with excellent career advancement potential.
- Why this job: Make a real impact by working on innovative data solutions that support research.
- Qualifications: Degree in IT and expertise in Azure services and data architecture.
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 Stack. 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, allowing you to balance your personal and professional life while contributing to impactful projects.
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 Stack. 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 or in data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL projects and data architecture designs. 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 technical knowledge. Be ready to discuss your experience with Azure services, SQL, and data modelling. We want to see how you think and solve problems on the spot!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 Stack. 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 Technical Skills:Don’t hold back on showcasing your technical expertise! Include specific examples of your work with SQL, NoSQL, and data modelling. We love seeing how you’ve used these skills in real-world scenarios, especially in the life sciences sector.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We appreciate a personal touch, so let your personality come through while keeping it professional.
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 at StudySmarter!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech 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 designed and implemented data pipelines in the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with IT partners and stakeholders, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight your communication skills and how you ensure everyone is on the same page.
✨Prepare for Technical Questions
Expect to dive deep into data modelling and database design during the interview. Brush up on your SQL and NoSQL knowledge, and be ready to explain your experience with ETL/ELT frameworks and programming in Python or PySpark.
✨Understand the Business Context
Familiarise yourself with the life sciences sector and the types of data you'll be working with. Being able to connect your technical skills to the business needs will show that you understand the bigger picture and can deliver value to the team.
