At a Glance
- Tasks: Design and optimise data pipelines using Azure Databricks and other cutting-edge technologies.
- Company: Join a leading financial services firm focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous learning and development.
- Why this job: Make an impact in the data engineering field while working with advanced tools.
- Qualifications: 10+ years in data engineering with strong skills in Python, Spark, and Azure services.
The predicted salary is between 70000 - 90000 € per year.
Essential Skills & Experience:
- 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.
- Strong proficiency in Python and Spark (PySpark) or Scala.
- Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.
- Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database.
- Experience working with large datasets and complex data pipelines.
- Experience with data architecture design and data pipeline optimization.
- Proven expertise with Databricks, including hands-on implementation experience and certifications.
- Experience with SQL and NoSQL databases.
- Experience with data quality and data governance processes.
- Experience with version control systems (e.g., Git).
- Experience with Agile development methodologies.
- Excellent communication, interpersonal, and problem-solving skills.
- Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs).
- Experience with data visualisation tools (e.g., Tableau, Power BI).
- Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes).
- Experience working in a financial services or economic data environment.
- Azure certifications related to data engineering (e.g., Azure Data Engineer Associate).
Data Engineer employer: Qualient Technology Solutions UK Limited
Join a leading financial services firm that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Engineer will be recognised and rewarded. With a strong commitment to employee growth, we provide access to continuous learning opportunities, including certifications in Azure technologies, all while working in a vibrant location that fosters creativity and teamwork. Experience the unique advantage of being part of a forward-thinking team dedicated to leveraging data to drive impactful decisions.
Contact Detail:
Qualient Technology Solutions UK Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Spark, and Azure services. 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 problem-solving skills. Be ready to discuss your experience with data pipelines and architecture design. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 10+ years of experience in data engineering and showcases your hands-on work with Azure Databricks. We want to see how your skills in Python, Spark, and data warehousing principles align with what we're looking for!
Showcase Your Projects:Include specific examples of large datasets and complex data pipelines you've worked on. We love seeing real-world applications of your skills, especially if you’ve optimised data architectures or implemented data governance processes.
Highlight Relevant Certifications:If you've got any Azure certifications, especially related to data engineering, make them pop! We value those credentials and they can really set you apart from other candidates.
Keep It Professional Yet Personal:While we appreciate a professional tone, don’t be afraid to let your personality shine through. A bit of flair in your application can help us get to know you better. And remember, apply through our website for the best chance!
How to prepare for a job interview at Qualient Technology Solutions UK Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Databricks skills and be ready to discuss your hands-on experience with it. Be prepared to explain how you've used Python and Spark (or Scala) in your previous projects, especially when dealing with large datasets and complex data pipelines.
✨Showcase Your Data Architecture Skills
Be ready to talk about your understanding of data warehousing principles and data modelling techniques. Prepare examples of how you've designed data architectures or optimised data pipelines in the past, as this will demonstrate your expertise in the field.
✨Communicate Clearly
Since excellent communication is key, practice explaining complex technical concepts in simple terms. Think about how you can convey your problem-solving approach and experiences in a way that’s relatable, especially if you're discussing data quality and governance processes.
✨Familiarise Yourself with Agile and DevOps
Make sure you understand Agile methodologies and be ready to discuss your experience with DevOps tools like Azure DevOps, Jenkins, or Docker. Highlight any relevant projects where you’ve applied these practices, as it shows you can work effectively in a team-oriented environment.
