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 development opportunities.
- Why this job: Shape how data is used globally and collaborate with diverse teams in an agile environment.
- Qualifications: Strong SQL, ETL/ELT experience, and knowledge of Python/T-SQL required.
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 Con Spark/Scala (Remoto) 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 on data-driven decision-making. Enjoy the flexibility of a hybrid working model in London, allowing for a balanced work-life experience while being part of a high-impact data team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure data pipelines or Spark/Scala. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and ETL/ELT knowledge. Be ready to discuss how you've tackled data quality and governance in past roles. Confidence in your technical skills can make all the difference!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto) 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, so don’t be shy about showcasing your relevant projects!
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 in Spark and Scala makes you a perfect fit for our team.
Showcase Your Collaboration Skills:Since we work in an agile environment, it’s important to highlight any experience you have collaborating with global teams. Share examples of how you’ve worked together to drive 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 fantastic opportunity!
How to prepare for a job interview at TRIA
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure data pipelines, Databricks, and Spark. Brush up on your SQL and ETL/ELT skills, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to drive data quality and governance, as this is crucial for the role.
✨Understand Agile Methodologies
Since the company operates in an agile environment, be ready to talk about your experience working in such settings. Share how you’ve collaborated with teams and adapted to changes quickly, as this will demonstrate your fit for their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how they measure success in data initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
