Azure Databricks Engineer

London, United Kingdom

Job Description


Business Divisions

Group Functions

Your role

Are you a multi-tasking programmer and are you passionate about technology? Do you like to be challenged and encouraged to learn and grow professionally?

As a Azure Data Engineer, you will work closely with business stakeholders and data analysts and will be responsible for designing, building, and maintaining data pipelines

  • design, build and maintain data pipelines using Azure technologies such as Azure Data Factory or Azure Databricks.
  • extract, transform and load data from variety of sources, including on-premises databases, cloud-based data stores
  • implement data processing and transformation logic using SQL or Python (PySpark)
  • collaborate with data analysts and business stakeholders to understand their data needs and develop solutions to meet those needs.
  • monitor and optimize data pipelines to ensure they are running efficiently and effectively
  • adhere to data governance and security controls to ensure data integrity and compliance with company policies and industry regulations
  • stay up-to-date with latest Azure technologies and best practices in data engineering
  • work in Agile team
Function Category

Information Technology (IT)

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it\'s our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we\'re more than ourselves. Ready to be part of #teamUBS and make an impact?

Contact Details

UBS Recruiting United Kingdom

Your team

In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You\'ll be working in the one of the pods in London, UK that sits within the wider Operations Enablement team. Our pod focuses on delivering value to our business clients in Group Legal by building sustainable and efficient cloud based solutions on by leveraging modern technologies

Your expertise
  • university degree in Computer science or equivalent
  • solid experience as a data engineer or a related role
  • good knowledge on Agile methodology
  • proficiency in Azure technologies such as Azure Data Factory or Azure Data bricks
  • experience building enterprise Data warehouse/data mart using SQL Server/Oracle/snowflake
  • experience with ETL/ELT processes using Azure Data Factory or Azure Databricks
  • experience with Python, PySpark and SparkSQL
  • experience with DevOps & CICD ( GitLab/Jenkins )
  • strong Problem solving and root cause analysis skills
  • familiarity with Azure Infrastructure Setup is a plus
  • familiarity with BI Reporting Tools like Micro Strategy, Power BI is a plus
  • curious to learn modern technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind
About us

UBS is the world\'s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Your Career Comeback

We are open to applications from career returners. Find out more about our program on .

How we hire

This role requires an assessment on application. Learn more about how we hire: www.ubs.com/global/en/careers/experienced-professionals.html

UBS

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Job Detail

  • Job Id
    JD3000567
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, United Kingdom
  • Education
    Not mentioned