Data Engineer - Sri Lanka (Remote)

About Us Trust Payments is a leading UK/EU Fintech. We provide a range of payments and commerce solutions, with market leading technology and data insights. We provide innovative payment methods and technologies and have a truly global footprint. With over 500 people across 11 offices supporting the most demanding business sectors including retail, travel, hospitality, forex and financial services. Driving value for our clients and demonstrating genuine care for their success, is a core value of ours. We also believe in striving to build a better, more sustainable tomorrow and believe in conducting our business ethically, driving social and environmental change. We have a passionate, collaborative, and diverse culture that recognizes that every employee contributes to our business success. Find out more at www.trustpayments.com . Trust Payments has an exciting opportunity for a Data Engineer - Sri Lanka to join their team. Location: Sri Lanka Port City - Remote Salary... Competitive + Benefits Job Type: Permanent, Full-Time Data Engineer – The Role We are looking for a skilled Data Engineer who will be responsible for designing, developing, and maintaining our data infrastructure, data assets on AWS cloud platform. The ideal candidate should have a strong background in data architecture, along with hands-on experience in building scalable and reliable data pipelines.. Data Engineer – Duties & Responsibilities • Design and implement scalable data pipelines to process and transform large volumes of data using AWS services such as Glue, Kafka, S3, EMR, Athena. • Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver solutions that meet business needs. • Optimize data workflows for performance, reliability, and cost-efficiency on AWS cloud platform. Performance Tune ETL Pipelines, database queries. • Develop and maintain ETL processes to ensure data quality and integrity throughout the data lifecycle. • Implement best practices for data security, access control, and compliance in accordance with industry standards and regulations. • Continuously monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner. • Stay updated with the latest AWS services and technologies and evaluate their potential for improving our data infrastructure. • Document data architecture, design decisions, and technical specifications for reference and knowledge sharing. Data Engineer – Experience & Qualifications • Design and implement scalable data pipelines to process and transform large volumes of data using AWS services such as Glue, Kafka, S3, EMR, Athena. • Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver solutions that meet business needs. • Optimize data workflows for performance, reliability, and cost-efficiency on AWS cloud platform. Performance Tune ETL Pipelines, database queries. • Develop and maintain ETL processes to ensure data quality and integrity throughout the data lifecycle. • Implement best practices for data security, access control, and compliance in accordance with industry standards and regulations. • Continuously monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner. • Stay updated with the latest AWS services and technologies and evaluate their potential for improving our data infrastructure. • Document data architecture, design decisions, and technical specifications for reference and knowledge sharing. Data Engineer – Educational Qualifications & Skills • Bachelor's or Master's degree in Computer Science Engineering, or related field. • Proven experience as a Data Engineer or similar role, with at least 5 years of experience in building and maintaining data infrastructure on AWS cloud platform. • Strong proficiency in AWS services such as Glue, Redshift, Lambda, Athena, S3, QuickSight etc. • Experience with big data technologies such as Hadoop, Spark, Kafka, etc. • In-depth knowledge of data architecture principles, data modelling, and database design. • Hands-on experience with SQL, Python, and any other programming languages for data manipulation and scripting. • Familiarity with DevOps practices and tools for CI/CD, infrastructure as code, and automated deployment. • Knowledge of machine learning concepts and techniques for data analysis and predictive modelling. • Excellent problem-solving skills and attention to detail, with a focus on delivering high-quality solutions. • Ability to work effectively in a fast-paced environment with tight deadlines and changing priorities. • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment Core Points Choosing to work with Trust Payments in our Sri Lanka office can come with a host of unique benefits thanks to our partnership with Port City Colombo. These include: • 0% Personal Income Tax: Employees can enjoy the benefit of no personal income tax, in turn maximising the employee's take-home pay. • Remuneration in Great Britain Pounds: Additionally, employees will receive competitive salaries (GBP). • Provident and Trust Fund Contributions: Port City contributes to the Employees’ Provident Fund and Employees’ Trust Fund. Additionally • Work from home: Employees can enjoy the flexibility of remote working. Benefits (subject To Local Office Benefits Policy) • Opportunity to be part of a rapidly scaling and market leading Fintech business. • Flexible working • Health and Wellbeing ethos including regular wellness sessions, fitness and nutrition and other events as well as supported by internally qualified mental health first aiders • Family friendly enhanced benefits/policies • Pension, Healthcare, Life Assurance • Social events and team building • Celebrations We understand the value that a diverse and inclusive working environment brings to Trust Payments. We celebrate the differences that people can bring through their cultures, backgrounds and perspectives. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other protected characteristic. To submit your CV for this opportunity, please complete the application form and click 'Submit Application' now