Software Engineer - Systematic Data Platform

Millennium; London; On-site; GBP 45,000 - 85,000; Full time

Job summary

An innovative firm is seeking a skilled Software Engineer to join their Systematic Data Platform group. This role involves expanding and optimizing a world-class data platform, building applications, and enhancing data tools for cross-functional teams. The ideal candidate will have a strong background in software engineering, particularly in data systems, and will thrive in a fast-paced environment. This position offers the opportunity to work on cutting-edge technologies and contribute to the development of an industry-leading data organization. If you're passionate about data and eager to make an impact, this is the perfect role for you.

Qualifications

• 3+ years of experience in software engineering with a focus on data systems.
• Bachelor's degree in a quantitative field is required.

Responsibilities

• Maintain optimal architecture for data platform and build data applications.
• Implement process improvements and optimize data delivery.

Skills

Python

Java

Scala

Algorithms

Data Structures

Interpersonal Skills

Problem-solving Skills

Education

Bachelor in Computer Science

Bachelor in Statistics

Bachelor in Informatics

Bachelor in Information Systems

Tools

SQL Server

Oracle

Redshift

BigQuery

SnowFlake

AWS

Job description

Software Engineer - Systematic Data Platform

We are building a world class systematic data platform which will power next generation of our systematic portfolio engines.

We are looking for a core software engineer that will work for our Systematic Data Platform group. The hire will be responsible for expanding and optimizing the architecture of our data platform and data tools, as well as building data related application for cross-functional teams. The ideal candidate is an experienced software engineer who enjoys optimizing data systems and building them from the ground up.

Responsibilities:

• Create and maintain optimal data platform architecture and implementation,
• Build data applications and tools to help data onboarding, and provide actionable insights into data discovery / permissioning, operational efficiency and other key business metrics.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and availability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Work with stakeholders from both the business and technology to assist with data-related technical issues and support their data infrastructure needs.
• Create data and analytical tools for internal customers that assist them in building and optimizing our data organization into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications:

• 3+ years’ working experience with Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience with object-oriented/object-functionlanguages: Python, Java, Scala, etc.
• Strong algorithms and data structures
• Experience with databases e.g. SQL Server, Oracle, Redshift, BigQuery, SnowFlake.
• Strong interpersonal and communication skills
• Can work independently and in a collaborative environment.
• Can handle several projects with different priorities at the same time in a fast-paced environment.
• Excellent self-management and problem-solving skills.