Senior Data Engineer (Spark, Scala, Java)

About Company: Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community. Diversity, Equity, and Inclusion Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Job Description: We are looking for an experienced Java / Spark / Scala Developer to join our team in Glasgow. The ideal candidate will have strong hands-on development experience in Java, Apache Spark, and Scala, with a passion for building scalable, high-performance data processing applications. Knowledge of AI/ML concepts will be considered a strong advantage. Key Responsibilities • Design, develop, and maintain scalable applications using Java, Scala, and Apache Spark • Build and optimize large-scale data processing pipelines • Collaborate with cross-functional teams to understand business and technical requirements • Write clean, efficient, and maintainable code following best practices • Troubleshoot, debug, and enhance application performance • Participate in code reviews, testing, and deployment activities • Contribute to architecture and design discussions for data-intensive applications Required Skills & Experience • 5–8 years of software development experience • Strong hands-on expertise in Java • Strong experience with Apache Spark • Solid programming skills in Scala • Experience in developing and optimizing distributed data processing applications • Good understanding of software development best practices, design patterns, and code quality • Strong problem-solving and analytical skills • Excellent communication and teamwork skills Preferred / Nice to Have • Exposure to AI / Machine Learning concepts or projects • Experience working in data engineering or big data environments • Familiarity with cloud platforms and modern data architectures is a plus Why Join Us? • Opportunity to work on challenging and scalable technology solutions • Collaborative and innovative work environment • Exposure to modern data and AI-driven technologies • Career growth opportunities within a dynamic team