Senior Software Engineer (Java)

Black Swan Data is a leading provider of data, software, and consulting services for the consumer goods industry. Our technology uses AI and social data to power the insight and innovation capabilities of brands like PepsiCo, Kraft Heinz and Heineken. 

We are a values-driven company that is committed to our employee’s wellbeing and growth. We believe that our people are our greatest asset, and we want to create an environment where they can thrive. 

Job Summary: The Senior Software Engineer will play a critical role in designing, building, and maintaining high-performance services supporting our suite of SaaS products. This role requires a strong understanding of Java, microservices architecture, and cloud computing. The successful candidate will work closely with product managers, designers, data scientists, and other engineers to ensure we deliver the right value at the right time. They will excel in an agile development environment and drive continuous improvement and adoption of best practices. 

Key Responsibilities: 

• Design, develop, and maintain high-quality backend systems 
• Work with a cross functional team to deliver projects on time and within budget 
• Participate in all phases of the software development lifecycle, from requirements gathering to testing, deployment and evolution
• Stay up to date on the latest technologies and trends in the software industry
• Mentor and train junior engineers
• Work with engineers to design and implement full-stack solutions 

 
Requirements: 

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• Strong sense of ownership
• Extensive experience with building Java services, ideally in the Spring (Boot) ecosystem
• Experience building and deploying scalable architectures via containers in a cloud environment
• Experience working in accordance with agile and XP principles
• Excellent communication and teamwork skills
• Strong problem solving and analytical skills 

Desired experiences: 

• Full-stack (React, TS) 
• Big-data and data science 
• GraphQL
• Kafka AWS
• IaC (Terraform) 

We offer competitive compensation, a dynamic and collaborative work environment, and abundant opportunities for professional growth and advancement. 

Preference for candidates living in Budapest or Szeged 

What makes a Swan? 

We want people fanatical about creating innovative solutions inspired by data. We know Black Swan’s DNA is different, it’s what helps us find new perspectives on our clients’ problems. Working in a fast paced, energized environment, our bar is set high, and an ability to build long lasting partnerships both internally and externally is vital. 

We have made a difference at our core and that is embedded in our values. 

• We believe in long-term partnerships through transparency and honesty. 
• We believe in leaving the world in a better place than we found it. 
• We believe anyone can achieve great things. We do not put people in boxes. 
• We listen more than we talk. 
• We think 10% crazy is just about right! 
• Most importantly, and because you spend 60% of your waking time at work, we believe you should enjoy it. 

What We Offer? 

Career Development - At Black Swan, we prioritise your development. We break new ground daily - and that provides every Swan with the opportunity to build career-defining skills and experience.  

Working environment - Because you spend 60% of your time at work, we try to make it enjoyable! You will benefit from our global benefits: Share options, staff referral scheme, wellness day, development day, flexible working, internal and online training initiatives, volunteering opportunities at whiteswan.org.uk, birthday half day, social events, and a flexible leave policy. 

Exciting Clients and Projects - We work with some of the world’s most pioneering CPG brands, and operate at the cutting-edge of our industry, solving our clients' problems with technology. 

Talented Teams - We employ the best talent in the market – as a Swan you will be exposed to highly skilled and multi-disciplined teams across 3 continents.   

We want to positively change the future through technology and the power of prediction. How about you? 

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