Automation Engineer

White Swan Data; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

25 days holiday per annum

Private health & dental insurance

Gympass membership

Breakfast and lunch provided

Free coffee & snacks

Regular team events

Job summary

White Swan Data is seeking an Automation Engineer to collaborate with trading, quants, development, accounts and operations. You will identify manual processes and build reliable automation using Python, APIs, and AI technologies to improve accuracy and speed.

The role emphasizes delivering end-to-end automation with strong emphasis on reliability, documentation, and continuous improvement in a fast-paced data-driven environment in London.

Qualifications

• Experience in process automation, data engineering or similar technical role.
• Proficiency in Python and building automation solutions.
• Understanding of APIs, system integrations, SQL and data processing.
• Strong analytical and problem-solving skills, with the ability to translate inefficiencies into practical solutions.
• Excellent communication and interpersonal skills to engage non-technical stakeholders.

Responsibilities

• Work with stakeholders to understand workflows and identify automation opportunities.
• Analyse processes to reduce manual effort and increase efficiency.
• Design, develop and implement automation solutions using programming languages, APIs and AI technologies.
• Own delivery from discovery through testing to rollout, with robust documentation.
• Measure impact and continuously refine solutions based on feedback.

Skills

Python

APIs & integrations

SQL

Data processing

Analytical thinking

Communication

Independent working

Tools

Git

CI/CD

Job description

Automation Engineer

Department: Engineering

Employment Type: Full Time

Location: London, UK

Reporting To: Jubin Sadeghi

Description

We are looking to hire an Automation Engineer to work closely with teams across White Swan Data, including trading, quants, development, accounts and operations. This is an exciting opportunity to learn how they work, identify manual processes that could be automated, and build reliable solutions using the tools best suited to the problem, including AI.

In our fast-paced quantitative trading environment, accuracy and reliability matter as much as speed, and your work will directly free up colleagues’ time.

Key Responsibilities

• Work with stakeholders: Embed yourself with teams across the business, building relationships and asking the right questions to understand their workflows, challenges and pain points, including where processes are not immediately obvious to automate.
• Identify automation opportunities: Analyse existing processes, challenge inefficient ways of working and prioritise opportunities to reduce manual effort, improve accuracy and increase efficiency.
• Build automation solutions: Design, develop and implement practical solutions using appropriate programming languages, APIs, workflow tools and AI technologies.
• Own delivery and reliability: Take solutions from initial idea through testing and rollout, ensuring they are reliable, well-documented and continue to work as business needs evolve.
• Measure and improve: Evaluate the impact of automation, gather feedback from colleagues and continuously refine solutions to deliver lasting improvements.

Skills, Knowledge and Expertise

Must haves:

• Experience in process automation, software engineering, data engineering or a similar technical role.
• Proficiency in Python or another relevant programming language, with experience building automation solutions.
• Understanding of APIs, system integrations, SQL and data processing.
• Strong analytical and problem-solving skills, with the ability to identify inefficiencies and translate them into practical solutions.
• Excellent communication and interpersonal skills, with the confidence to engage busy, non-technical stakeholders, ask the right questions and challenge existing ways of working.
• A proactive, curious mindset, with the ability to work independently and take ownership of projects from discovery through to implementation.
• A focus on accuracy, reliability and continuous improvement.

Nice to haves:

• Experience with workflow automation platforms, cloud services or AI-powered tools.
• Familiarity with software testing, version control and production monitoring.
• Experience working in a fast-paced, data-driven environment, such as quantitative trading, financial services or technology.

Benefits

• Salary depending on experience.
• Annual discretionary performance bonus.
• 25 days holiday per annum, plus UK bank holidays.
• Private health & dental insurance.
• Optical cover through Aviva.
• Pension plan.
• Gympass membership to over 1900 gyms and wellness businesses.
• Breakfast bought in everyday and lunch bought in twice a week
• Free coffee & snacks at the office.
• Regular team events & socials.