Job Description About Our Client Our client is a globally recognised consulting powerhouse, renowned for delivering cutting-edge technology and business solutions across multiple sectors including financial services, telecommunications, and government. With a presence in over 170 countries and a reputation for innovation, they offer a dynamic and inclusive work environment that fosters growth, collaboration, and excellence. Their teams are embedded in some of the world’s most prestigious organisations, helping to solve complex challenges with scalable, future-ready solutions. About the Role This is an exciting opportunity for a Data Solution Engineer to join a high-performing team delivering transformative data solutions for a major financial institution. The role sits at the intersection of data engineering, analytics, and solution architecture, and involves designing and implementing end-to-end data pipelines—from ingestion and transformation to consumption. You’ll work with modern data platforms, cloud technologies, and big data ecosystems, contributing to strategic initiatives that shape the future of data in financial services. Key highlights include: Ownership of solution design and delivery in a complex, enterprise-scale environment Exposure to advanced technologies including Azure, Hadoop, PySpark, and data mesh architectures Opportunities to lead technical discussions, mentor junior consultants, and collaborate with cross-functional teams The Successful Candidate You are a passionate and driven data professional with: 7 years of experience in data engineering and solution delivery 3 years working within financial services, ideally banking Strong hands-on expertise in Python, PySpark, Hadoop, and Unix/Linux Proven ability to design and present data architectures in large forums Experience with cloud platforms (preferably Azure) and big data analytics Excellent communication skills—able to engage stakeholders and articulate complex ideas clearly A collaborative mindset, strong work ethic, and ability to thrive in fast-paced environments Preferred credentials include tertiary qualifications in Computer Science or Engineering, and familiarity with data modelling, Atlassian tools, and data mesh principles. What is on offer A chance to work within a prestigious consulting environment on high-impact projects Collaboration with talented managers and colleagues in a supportive, agile team Access to world-class technology and tools Competitive contracting rates and flexible working arrangements Continuous learning and development opportunities Exposure to leading clients in the financial services sector
