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 up to £45,000, hybrid work model, and opportunities for growth.
- 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.
Data Engineer (Home-based) in London employer: TRIA
Join a leading global organisation that prioritises innovation and technology, offering a dynamic work culture where collaboration thrives. As a Data Engineer, you'll benefit from a supportive environment that fosters professional growth and development, with the flexibility of a hybrid working model that enhances work-life balance. With competitive remuneration and the chance to make a significant impact on data-driven decision-making, this role is perfect for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Home-based) 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 Data Engineer (Home-based) 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. Plus, it’s super easy!
How to prepare for a job interview at TRIA
✨Know Your Tech Inside Out
Make sure you brush up on your Azure data pipelines, SQL, and ETL/ELT processes. Be ready to discuss your experience with Databricks and Spark, as well as any projects where you've optimised data flows or improved data quality.
✨Showcase Your Collaboration Skills
Since the role involves working with global teams in an agile environment, be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you drove a project forward through teamwork.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges related to data governance or performance issues. Think about past experiences and be ready to explain your thought process and the outcomes.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or the tools they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
