We are seeking a highly skilled and motivated Data Engineer with expertise in Azure Databricks to join our team at UBS. As a Data Engineer, you will play a critical role in developing and maintaining data pipelines, building data lakes, and designing data warehouse solutions. Your contributions will be instrumental in driving data-driven decision making and enabling our organization to unlock the full potential of our data. We are looking for someone who is passionate about data, has a strong technical background, and thrives in a fast-paced and dynamic environment. If you have experience with Azure Databricks and a passion for turning data into valuable insights, we would love to hear from you. Join us at UBS and be a part of our mission to revolutionize the way we use data to drive business success.
- Develop and maintain data pipelines using Azure Databricks to ensure efficient and reliable data flow.
- Design and build data lakes to store and organize large amounts of structured and unstructured data.
- Collaborate with data analysts and other team members to understand data requirements and translate them into technical solutions.
- Implement data governance processes to ensure data quality and consistency across the organization.
- Optimize and tune data pipelines for maximum performance and scalability.
- Troubleshoot and resolve issues with data pipelines and data lakes.
- Work closely with business stakeholders to understand their data needs and provide solutions to enable data-driven decision making.
- Design and implement data warehouse solutions to support business intelligence and reporting.
- Stay up-to-date with the latest industry trends and best practices in data engineering and data analytics.
- Train and mentor junior team members on data engineering and Azure Databricks.
- Collaborate with cross-functional teams to integrate data engineering solutions with other systems and applications.
- Proactively identify opportunities for process improvements and automation in data engineering processes.
- Participate in code reviews and ensure code quality and standards are maintained.
- Adhere to data security and privacy policies and procedures to protect sensitive data.
- Communicate effectively with stakeholders and provide timely updates on project progress and issues.
- Continuously monitor and optimize data pipelines to ensure data accuracy and consistency.
- Work in a fast-paced and dynamic environment, adapting to changing business needs and priorities.
Strong Proficiency In Azure Databricks: The Ideal Candidate Should Have A Deep Understanding Of Azure Databricks And Its Components, Including Spark, Delta Lake, And Mlflow. They Should Have Experience In Building And Deploying Data Pipelines On The Platform.
Advanced Knowledge Of Data Engineering Concepts: The Candidate Should Possess A Strong Foundation In Data Engineering Principles, Such As Data Modeling, Etl/Elt, Data Warehousing, And Data Governance. They Should Also Have Experience In Working With Large Datasets And Optimizing Data Pipelines For Performance And Scalability.
Familiarity With Cloud Technologies: Ubs Is A Leading Financial Institution That Leverages Cloud Technologies For Its Data Ecosystem. The Candidate Should Have Experience Working With Cloud Platforms, Preferably Microsoft Azure, And Be Familiar With Cloud-Native Data Services Such As Azure Data Factory, Azure Sql Database, And Azure Storage.
Programming Skills: The Role Of A Data Engineer At Ubs Requires Strong Programming Skills, Particularly In Python And Sql. The Candidate Should Be Able To Write Efficient And Optimized Code To Transform And Process Data.
Communication And Teamwork: As A Member Of A Cross-Functional Team, The Data Engineer Will Be Required To Collaborate And Communicate Effectively With Data Analysts, Data Scientists, And Business Stakeholders. The Candidate Should Be Able To Articulate Technical Concepts To Non-Technical Stakeholders And Work Well In A Team Environment.
SQL Programming
Data Modeling
Machine Learning
Data warehousing
Data Manipulation
Data Visualization
Cloud Computing
Data integration
ETL Development
Azure Databricks
Big Data Analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer, Azure Databricks in London, UK is between £60,000 - £90,000 per year. This may vary depending on the specific company, location, and level of experience.
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UBS is a global firm providing financial services in over 50 countries. The company provides wealth management, asset management, and investment banking services for private, corporate, and institutional clients worldwide.
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