At a Glance
- Tasks: Build and optimise Azure data pipelines while driving data quality and governance.
- Company: Join a leading global organisation focused on innovation and customer-centric services.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be part of a high-impact data team making a real difference.
- Why this job: Shape how data is used globally and collaborate with diverse teams in an agile environment.
- Qualifications: Strong SQL and ETL/ELT experience, plus knowledge of Python and big data technologies.
The predicted salary is between 45000 - 45000 € per year.
This is a fantastic opportunity to join a leading global organisation with a strong international presence, dedicated to delivering customer-centric services while investing in innovation, technology, and growth.
- Build and optimise Azure data pipelines (ADF, Databricks)
- Support migration into Azure Data Lake
- Drive data quality, governance, and performance
- Collaborate with global teams in an agile environment
- Strong SQL + ETL/ELT experience
- Knowledge of Python / T-SQL
- Databricks, Spark, CI/CD, big data
This is a great opportunity to join a high-impact data team in a global organisation and shape how data is used across the business.
Ingegnere Dati in London employer: TRIA
Join a leading global organisation that prioritises innovation and technology, offering a dynamic work culture where collaboration thrives. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to make a significant impact within a high-performing data team. Enjoy the benefits of a hybrid working model in London, allowing for a balanced work-life experience while contributing to exciting projects that shape the future of data utilisation.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure data pipelines, SQL queries, or any cool projects you've worked on. This is your chance to shine and demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Think about how you'd tackle data quality issues or optimise a pipeline. We want you to be ready to impress with real-world examples!
✨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 that extra step to connect with us directly.
We think you need these skills to ace Ingegnere Dati in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure data pipelines, SQL, and ETL/ELT processes. We want to see how your skills align with the role of Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity at StudySmarter and how your background in data engineering can contribute to our mission of delivering customer-centric services.
Showcase Your Technical Skills:Don’t forget to mention your knowledge of Python, T-SQL, and any experience with Databricks or Spark. We love seeing candidates who are well-versed in the tools we use, so make sure to highlight these in your application!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our high-impact data team!
How to prepare for a job interview at TRIA
✨Know Your Tech Stack
Make sure you brush up on your Azure data pipelines, especially ADF 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 SQL Skills
Since strong SQL experience is a must, prepare to demonstrate your knowledge. You might be asked to solve a problem on the spot, so practice writing queries and think about how you can optimise them for performance.
✨Understand Data Governance
Familiarise yourself with data quality and governance principles. Be prepared to discuss how you ensure data integrity and compliance in your work, as this will show that you understand the bigger picture of data management.
✨Emphasise Collaboration
This role involves working with global teams, so highlight your experience in agile environments. Share examples of how you've successfully collaborated with others, especially in remote settings, to drive projects forward.
