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- Tasks: Transform data into actionable insights and develop robust data pipelines.
- Company: Join a global brand with a focus on innovation in the life sciences sector.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-quality data and career advancement.
- Why this job: Make a real impact by shaping data solutions that drive research and business operations.
- Qualifications: Degree in IT, experience with Azure services, and strong data engineering skills.
The predicted salary is between 50000 - 65000 £ 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 employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ETL Data Engineer/Data Architect - Azure Stack
✨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 is your chance to demonstrate your expertise in Azure services and data modelling, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your experience with SQL, NoSQL, and Python, as well as how you've tackled challenges in previous projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance of getting noticed by our hiring team.
We think you need these skills to ace ETL Data Engineer/Data Architect - Azure Stack
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 pipelines. This helps us understand your hands-on experience and how you tackle real-world challenges in data engineering.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your experience.
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 at StudySmarter!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure services, especially Azure Data Factory and Databricks. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your expertise in these areas during the interview.
✨Showcase Your Project Experience
Prepare to discuss specific projects where you've designed and implemented data pipelines. Be ready to explain your role, the challenges you faced, and how you collaborated with stakeholders to deliver results.
✨Understand the Business Context
Familiarise yourself with the life sciences sector and how data plays a role in it. Being able to connect your technical skills to real-world applications will impress your interviewers and show that you understand the bigger picture.
✨Prepare Questions for Them
Have a few thoughtful questions ready about their data architecture and integration frameworks. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.