Automation Engineer

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

• 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.

• 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.

About
Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem-solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision-making, and ultimately strengthens our ability to tackle complex challenges.