Senior Data Engineer

Há 5 dias

Porto, Portugal Credable Group Tempo inteiro

Senior Data Engineer Porto, Porto District Senior Data EngineerPortoPorto, Porto District, Portugal Welcome to Credable We build embedded finance solutions that provide access to finance to people and places that previously were left in the dark. Picture not being able to store your earnings securely, transmit or receive money over great distances, acquire credit, or participate in the digital economy. This isn't a trivial inconvenience, it affects the livelihoods, education, health, and opportunity of those considered "unbanked". On the flip side There are businesses (e. g. mobile network operators,- commerce platforms, and service providers) who have captive customers in their channels and rich data but lack the capabilities to offer those customers reliable access to financial services. Financial service providers (banks & insurance companies) that possess the capital and licenses, but cannot reach the customers with no physical access to them; therefore unable to expand their digital portfolio and solve the issue of financial independence across the continent. . That's where we come in. The Role: This is a- time hybrid role for a Senior Data Engineer at Credable Group. The Senior Data Engineer will be responsible for tasks related to data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics. The role is based in Porto with flexibility for remote work, but we encourage a balance between office and remote work. We value human connection and believe it's foundational to a healthy team dynamic. Key Responsibilities: Own projects from start to finish, which includes: gathering requirements from the stakeholders/clients designing the solution-- end collaborate with team members to agree on the design, and build and deliver the signed off design validate the outcome with the stakeholders/clients Launch and continue to improve/maintain the deployed solution Improve the existing data ecosystem and its related components improving automation and robustness of each component improve data pipeline testing and data observability Infrastructure optimisation - improving cost effectiveness of data movement processes and data storage Data governance - help build and deliver governance processes to continue keeping the data ecosystem compliant with the relevant laws and regulations The finer points: What we are looking for from you Proven track record of developing and maintaining ETL pipelines Data Modeling & implementation of data warehouse structures, Experience or exposure to Data Analytics Experience with structured and unstructured data - experience with software/ technologies that support both is a bonus (e. g. Postgres vs MongoDB) Proficiency in programming languages (e. g. Python, Golang, Java, SQL, etc. ) Experience with cloud platforms (e. g. AWS, Azure, GCP) Strong- solving and analytical skills (e. g. can you derive the angle between the hour and minute hand on an analog watch face when it's 15 mins past 3? ) Excellent written and verbal communication skills - English is a must Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or any relevant field Relevant skills and qualifications in big data technologies, data visualization, and financial services experience will be beneficial. Our team's tenants: what we live by Configuration & version control wins out over diligence Automate everything, but if it must be manual it should at least be scripted Build for requirements, not hype - the customer comes first Building is a- driven activity - be a standout citizen Stop, take a breath, think again, and simplify your approach We believe in equal opportunities, we welcome applications from diverse backgrounds. However experience working in FinTech, Banking/Finance, or Telcos is a big plus. Powered by JazzHR#J-18808-Ljbffr

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