Smarter Payments Intelligence
Card Processing Optimization • Interchange Optimization • RFP Management • PIN Debit Routing • PINless Debit Acceptance
August 2
🔄 Hybrid – Manchester
Smarter Payments Intelligence
Card Processing Optimization • Interchange Optimization • RFP Management • PIN Debit Routing • PINless Debit Acceptance
• Engage in the design of scalable and robust data architectures from varied source systems (APIs, web scrapers, SFTP) for retrieving data from CMSPI’s clients and payment partners with a focus on security and performance. • Ensure prompt and efficient onboarding of CMSPI client data. • Maintain a strong focus on software quality, conducting collaborative code and architecture reviews with your squad. • Learn, adopt, and promote best practices in data engineering, such as clean code principles, automated testing, and continuous integration. • Collaborate with your team to build new data features, ensuring they meet design concepts and business requirements. • Collaborate with your development squad to define, elaborate, and refine requirements for new data features. • Actively participate in regular sprint planning, ensuring all active stories and tasks are up-to-date. • Attend daily stand-ups, providing updates and raising critical blockers to ensure smooth progress. • Respond to and resolve issues and queries raised by business stakeholders. • Stay aware of emerging technology trends, researching and applying new ideas to improve our data solutions.
• 2 years + professional experience as a Data Engineer/ DevOps Engineer. • Experienced in working with ETL/ELT workflows for data analytics utilising Spark or Hadoop. • Experienced in Microsoft Azure; DevOps (CI/CD), Orchestration (Azure Data Factory), Storage (Azure Datalake), Retrieval/ Utilities (Azure Functions). • Advanced skills in Python, writing efficient functional and object-oriented code as well as building and maintaining re-usable Python libraries. • Bachelor's degree in Computer Science, Mathematics or other analytical/numerical related subject. • Strong problem-solving and analytical skills to tackle complex data engineering challenges. • Excellent communication skills and the ability to collaborate effectively with cross-functional teams. • Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines.
• Excellent performance-based earning opportunity, including OKR-driven bonuses. • Future opportunity for equity, rewarded to high performers. • Personal and professional learning opportunities and growth experiences aligned with your career aspirations. • Quarterly values award for all employees – with a financial prize. • Regular companywide socials and team building events. • 22 vacation days + U.K. public holidays and discretionary office closure during Christmas. • Commuting reimbursement for travelling to the office using public transport or parking costs. • Competitive Pension plan, Vitality healthcare cover (after 6-months) and Cycle to work scheme.
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