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 with excellent career advancement opportunities.
- 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 Dei 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 focus on 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 Dei 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 us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Azure data pipelines and SQL. This hands-on demonstration can really set us apart from the crowd.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We should also be ready to discuss how we’ve tackled challenges in previous roles, especially around data quality and governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Ingegnere Dei Dati in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure data pipelines, SQL, and any relevant tools like Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your ETL/ELT expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our team. Let us know how you can contribute to our customer-centric approach.
Showcase Your Projects:If you've worked on any projects involving big data or data governance, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to driving data quality and performance.
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 this exciting opportunity in our high-impact data team!
How to prepare for a job interview at TRIA
✨Know Your Tech Stack
Make sure you’re well-versed in Azure data pipelines, Databricks, and SQL. Brush up on your ETL/ELT processes and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to drive data quality and governance. This will demonstrate your critical thinking and adaptability in an agile environment.
✨Collaboration is Key
Since this role involves working with global teams, be ready to talk about your experience in collaborative projects. Share examples of how you’ve worked with others to achieve common goals, especially in a hybrid setting. This will show that you can thrive in a team-oriented atmosphere.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they leverage technology for growth. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
