Software Engineer II — Python, SQL & DevOps

LexisNexis Risk Solutions; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A data solutions firm in Greater London is seeking an experienced Software Engineer to handle moderate research and development assignments. The role includes writing specifications, resolving technical issues, and collaborating with team members in Agile and Waterfall environments. Candidates should have 2+ years of engineering experience and be proficient in languages like Python, SQL, and .Net. This position provides an opportunity to engage in new technologies and contribute to meaningful projects aimed at optimizing resources.

Qualifications

• 2+ years of Software Engineering experience required.
• Proficiency in Python, SQL, Terraform, Windows, UNIX, and .Net.
• Basic knowledge of test-driven development.

Responsibilities

• Write and review detailed specifications for developing system components.
• Complete simple bug fixes.
• Collaborate with development team to understand product requirements.
• Resolve technical issues as necessary.

Skills

Proficiency with data manipulation languages

Ability to work with simple data models

Proficiency in development languages including Python

Basic oral and written communication skills

Familiarity with industry best practices - code coverage

Basic knowledge of software development methodologies

Knowledge of data storage subsystems

Basic knowledge of DevOps practices

Education

BS Engineering/Computer Science or equivalent experience

Job description

A data solutions firm in Greater London is seeking an experienced Software Engineer to handle moderate research and development assignments. The role includes writing specifications, resolving technical issues, and collaborating with team members in Agile and Waterfall environments. Candidates should have 2+ years of engineering experience and be proficient in languages like Python, SQL, and .Net. This position provides an opportunity to engage in new technologies and contribute to meaningful projects aimed at optimizing resources.