At Mukuru, data isn’t just something we store, it’s how we drive smarter decisions, power innovation, and scale impact across Africa. As a Senior Data Engineer, you’ll be at the centre of transforming how we build, process, and use data. Why this role matters You won’t just maintain data systems, you’ll redefine them. This role is key to modernising our data platform, enabling faster insights, better decisions, and scalable solutions that support a growing fintech ecosystem. What you’ll do Build the future of data - Design and implement scalable, cloud-based data platforms - Lead the shift from traditional ETL to modern ELT architectures - Drive innovation using frameworks like Medallion Architecture and ODS Own data pipelines end-to-end - Optimise and manage data ingestion, transformation, and storage - Ensure high-quality, reliable, and accessible data - Implement best practices in CI/CD and version control (Git) Lead and influence - Guide technical decisions and mentor team members - Drive proof-of-concept initiatives for new technologies - Collaborate with cross-functional teams to solve complex data challenges Enable smarter decisions - Partner with stakeholders to deliver data solutions that drive business value - Ensure data supports analytics, reporting, and strategic initiatives Protect what matters - Maintain high standards of data security, governance, and compliance - Align with financial industry regulations and best practices What you bring - 5+ years’ experience in Data Engineering - Experience in a senior or leadership role - Strong expertise in cloud data platforms (Snowflake, AWS, Azure, BigQuery, Databricks) - Advanced skills in SQL, Python or Java - Strong understanding of ELT/ETL, data modelling, and data pipelines What sets you apart - You think beyond solutions, you think scalable architecture - You enjoy solving complex data problems - You’re proactive, innovative, and always improving - You can influence both technical teams and business stakeholders I am sure you are reading this job description and meet majority of the criteria BUT you may also still not be 100% comfortable in applying. We believe that there is a place for everyone under the Mukuru sun and we want YOU to contribute to our diverse tapestry of talent. So come on, take a leap of faith, and send your application if you meet majority of our requirements. Remember to include a snippet of how you will bring value and help us build a future of success that will help us determine where and how you may best be suited” Maybe you are just the future Mukurian we need!! Should you be appointed in a remote/work from home role at Mukuru, it is your responsibility to ensure that you have uninterrupted internet connectivity and a ‘work-like’ environment at your home location, in order to deliver your best in terms of performance, productivity and service to our customers. If you do not receive any response after two weeks, please consider your application unsuccessful. NB: ALL STAFF APPOINTMENTS WILL BE MADE WITH DUE CONSIDERATION OF THE COMPANY’S DIVERSITY AND INCLUSION PLANS

Role Description The Director - Data Engineering is responsible for the Enterprise Data Warehouse (EDW) and all data processes, integrations, and backend data delivery. This role leads a team of experienced Senior Data Warehouse Engineers, ensuring that projects are delivered on time, with high quality. The role involves building partnerships with cross-functional teams, managing and communicating effectively with stakeholders, and strict adherence to UBC Agile DevOps best practices. This role requires a hands-on, engaged approach with a strong, communicative, and supportive leadership style. - Work with Senior Leadership and stakeholders to define and execute the long-term vision and strategic roadmap for the enterprise data warehouse. - Lead and manage end-to-end delivery of backend data projects, ensuring timely, quality delivery. - Lead technical data discussions with enterprise teams and stakeholders. - Develop and maintain detailed project plans, including management of resource allocation, budgets, and timelines. - Coordinate with product owners, engineers, Quality Assurance (QA), and stakeholders to ensure alignment and successful execution of project objectives. - Serve as the primary point of contact for external clients and internal business partners, providing proactive verbal and written updates, managing expectations, and addressing any issues or concerns. - Ensure high quality of data project deliverables through comprehensive testing and adherence to Agile DevOps workflow processes. - Build and optimize an agile, collaborative, high-performing Data Engineering team, encouraging continuous improvement and innovation. - Identify and resolve technical and project-related barriers. - Implement data engineering best practices, staying updated on latest industry trends and technologies. - Mentor and develop Data Engineers, providing guidance and support to promote professional growth and team culture. - Provide technical expertise and coaching to Data Engineers during design, code review, and troubleshooting working sessions. - Oversee the design, development, and implementation of data pipelines for data ingestion, transformation and delivery. Qualifications - Bachelor’s or Master’s Degree in a Data-Related Focus, Computer Science, Information Technology, Business or a related field. - 10+ years experience leading a data engineering team. - Significant experience in technical data project management with a proven track record of successful delivery. - Expertise in data integration techniques, including ETL/ELT processes and data pipelines. - Understanding of data modelling techniques, e.g., hierarchical, relational, entity-relationship (ER). - Significant experience with Snowflake as a relational database system (RDBMS). - Proficient with SQL. - Extensive knowledge of data governance principles, data quality management, and data privacy regulations. - Strong understanding of software development lifecycle (SDLC) and Agile methodologies. - Strong experience working in projects with Agile/Scrum methodologies. - Excellent leadership and team management skills with the ability to motivate and guide a team of Data Engineers. - Exceptional communication and interpersonal skills, with the ability to engage effectively with technical and non-technical stakeholders. - Analytical and problem-solving abilities with strong attention to detail. - Experience managing resource allocation. - Strong data architecture experience. - Experience working with APIs and a multitude of data source formats including JSON and XML. - Experience with data tokenization. - Significant experience with healthcare data. Preferred Qualifications - Experience with EDC, CTMS, and eTMF data. - Experience with pharmacovigilance or REMS data. - Experience with reimbursement, medical/pharmacy claims, or pharmacy datasets. - Proficient in project management tools and software. - Experience with Azure Data Factory. - Experience with AI tools to enhance data engineering services. - Experience working with healthcare data exchanges using FHIR and HL7 standards. - Well-versed in HIPAA and GDPR compliance standards. - Background working with Real World Data (RWD). Supervisory Responsibilities - 4-6 Data Warehouse Engineers

Company Overview: Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries. Position Title: Senior Data Engineer Location: LATAM What you will be doing: We are seeking a skilled Senior Migration Engineer to support the migration of enterprise data warehouse workloads to the Databricks Data Intelligence Platform. This role is highly hands-on and focuses on executing migration activities, including assessment, SQL code conversion, data movement, validation, and production cutover support. You will collaborate closely with client data teams and internal stakeholders, leveraging modern data engineering tools and migration frameworks to ensure high-quality, scalable, and reliable data platform transformations. Required Skills & Experience To excel in this role, you should possess: - 5+ years of experience with Microsoft SQL Server as developer. - T-SQL, stored procedures, SQL Server Integration Services (SSIS), SQL Server Agent - 1+ year of experience with Databricks or Apache Spark - Databricks SQL, Delta Lake, Unity Catalog fundamentals - Strong understanding of data type mapping between SQL Server and Databricks - Hands-on experience with ETL/ELT patterns (incremental loads, MERGE operations, data validation) - Experience with SQL transpilation/migration tools (e.g., Lakebridge/BladeBridge, Morpheus, or similar) - Familiarity with command-line tools and connectivity frameworks - Familiar with Databricks CLI, Azure/AWS CLI, JDBC, pyodbc - Ability to debug, troubleshoot, and optimize converted SQL and ETL processes Nice to Have Skills: - Python / PySpark for ETL transformations and stored procedure rewrites - Experience with data reconciliation frameworks and validation strategies - Familiarity with Infrastructure as Code (Terraform, DABs) - Previous experience in large-scale data warehouse migrations - Databricks Data Engineer Associate certification Soft Skills: - Strong analytical and problem-solving skills with attention to detail - Effective communication skills for collaborating with technical and non-technical stakeholders - Ability to work independently in a fast-paced, client-facing environment - Adaptability to evolving project requirements and technologies - Strong documentation and knowledge-sharing practices Why you will love Lean Tech: - Join a powerful tech workforce and help us change the world through technology - Professional development opportunities with international customers - Collaborative work environment - Career path and mentorship programs that will lead to new levels. Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Create data tools for team members to assist them in building and optimizing analytics production. • Work with data and analytics experts to strive for greater functionality in our data systems. • Other duties as required.