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Data Engineer - Python, AWS, SQL

Employer
Octavius Finance
Location
London, United Kingdom
Salary
Competitive
Closing date
Apr 25, 2023

View more

Job Function
Portfolio Management: Equities
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Location: London, UK

We are working with an investment advisory firm in London are seeking a talented Data Engineer with strong Python, AWS, and SQL skills to join their dynamic team. As a Data Engineer, you will play a key role in designing and developing the data infrastructure and systems, ensuring that our data pipelines are reliable, scalable, and efficient.
Responsibilities:
  • Develop and maintain data pipelines to process and transform large amounts of data
  • Design, implement and maintain databases and data warehouses
  • Work with stakeholders to understand their data needs and help design data solutions
  • Troubleshoot and resolve issues related to data quality, consistency, and performance
  • Automate data processing tasks and workflows
  • Collaborate with cross-functional teams to deliver high-quality data solutions
Qualifications:
  • Strong experience in Python and SQL programming languages
  • Solid understanding of AWS technologies such as EC2, S3, Lambda, and Redshift
  • Experience in designing and building scalable and high-performance data pipelines
  • Familiarity with data modeling, database design, and ETL processes
  • Experience in data analysis and data visualization tools such as Tableau, Power BI or similar
  • Good understanding of Agile development methodologies and DevOps practices
  • Excellent communication and collaboration skills
  • BSc/MSc degree in Computer Science, Engineering or a related field
Our client offers a competitive salary, flexible working arrangements, and a challenging work environment where you can learn and grow your skills. If you are a passionate Data Engineer with the above experience, please apply with your CV to Quantresearch@octaviusfinance.com . We look forward to hearing from you!

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