Data Engineer

Job description We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools techniques such as DevOps, Terraform, and the Azure Cloud. We are working on one of the last untapped fintech opportunities, which is banking for established small medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities, representing about a quarter of the economy, yet have been largely left behind both by traditional banks and modern fintech providers. Because were breaking new ground, it often means that were working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage development from prototyping to productioniSing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improving existing tools for greater scalability, etc. Develop and maintain data and coding standards, produce well-documented codes with robust testing, and align with our data governance. Helping us implement a data-driven mindset in the company. Personal Attributes Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using orchestration tools (Airflow, Dagster or Prefect). Experience with container technology (Docker, Kubernetes). Experience with CI/CD pipelines (preferably Azure DevOps). Experience with application deployment to Cloud services (GCP, AWS, Azure preferred) Role: Data Engineer Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AssuranceDevelopment ManagerCodingGCPCloud ServicesBankingdata governanceTeam buildingSQLPython