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- Tasks: Create and manage data pipelines using Azure services to transform business requirements into technical solutions.
- Company: Join a global brand with a focus on innovative data solutions in the life sciences sector.
- Benefits: Enjoy hybrid working, competitive pay, and the chance to work on impactful projects.
- Other info: Long-term contract with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Make a real difference by delivering high-quality data solutions that support research and business operations.
- Qualifications: Degree in IT, experience with Azure, Python, and data architecture required.
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 managers.
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. So don't delay and apply ASAP as I have interview slots ready to be filled.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
ETL Data Engineer/Data Architect - Azure Stack in Nottingham 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 in Nottingham
✨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 will give potential employers a taste of what you can do and set 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, data modelling, and ETL frameworks. Practice common interview questions to boost your confidence.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace ETL Data Engineer/Data Architect - Azure Stack in Nottingham
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!
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 in data architecture and ETL development makes you a perfect fit. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Don’t forget to mention your expertise in tools like Spark, Databricks, and Python or PySpark. We’re keen on seeing how you’ve applied these skills in real-world scenarios, so include specific examples that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Azure Stack 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 and data integration patterns. Have specific examples ready that demonstrate your ability to design and implement data pipelines, and be prepared to explain your thought process behind those designs.
✨Communicate Clearly with Stakeholders
Since this role involves collaboration with various teams, practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. Think of examples where you've successfully communicated project requirements or updates.
✨Bring Your Life Sciences Knowledge
If you have experience in the life sciences sector, make sure to highlight it! Discuss any relevant projects you've worked on, particularly those involving structured and semi-structured data. This will show your potential employer that you can hit the ground running.