At a Glance
- Tasks: Design and build data engineering solutions using Azure Databricks for large-scale datasets.
- Company: Join Korn Ferry, a leader in unleashing potential in people and organisations.
- Benefits: Competitive daily rate, hybrid working model, and opportunities for professional growth.
- Other info: Collaborative Agile environment with excellent career advancement opportunities.
- Why this job: Make an impact in financial services while working with cutting-edge Azure technologies.
- Qualifications: 6+ years in data engineering, expertise in Azure Databricks, and strong problem-solving skills.
Location: London, UK
Rate: £500 per day, inside IR35
Working Mode: 3 days a week on site
Description
We're looking for a Data Software Engineer - Azure Databricks to join our client (Financial Services) team in London, UK in a hybrid working mode. In this role, you will design and build data engineering solutions leveraging Azure Databricks and related Azure services, enabling efficient processing and transformation of large-scale datasets. You will collaborate with cross-functional teams to ensure the delivery of optimized, reliable, and scalable data pipelines aligned with business requirements.
Responsibilities
- Develop robust, scalable data engineering solutions using Azure Databricks and Azure Data Factory
- Design and optimize data pipelines for processing large volumes of data (multi-million records) with high performance
- Participate in customer discussions, requirement analysis, and technical solution design
- Ensure code quality, performance tuning, and adherence to best practices throughout development
- Communicate project status effectively and elevate critical issues to stakeholders and management
- Actively collaborate with team members to deliver data-driven solutions in an Agile environment
Requirements (Must Have Skills)
- 6+ years of experience in data software engineering with a strong focus on Azure technologies
- Expertise in Azure Databricks development, including efficient handling of large datasets
- Strong working knowledge of Azure Data Factory for building complex ETL workflows
- Experience with performance optimization of data pipelines and distributed processing setups
- Proficiency in Scala development (hands-on experience highly desirable)
- Solid understanding of Azure services relevant to data engineering and cloud architecture
- Strong problem-solving ability with effective communication skills for team collaboration
Nice to Have Skills
- Experience working in Agile teams, including Scrum or Kanban methodologies
- Familiarity with CI/CD practices and tools for data engineering workflows
- Databricks certification or equivalent credentials
- Understanding of data security, compliance, and governance best practices in cloud environments
Data Engineer (Databricks) employer: Korn Ferry
Korn Ferry is an exceptional employer that prioritises diversity and inclusion, fostering a collaborative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and leadership advancement, making it an ideal environment for those looking to make a meaningful impact in assessment and succession planning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Databricks)
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Some tips for your application 🫡
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