
501 - 1000 employees
Founded 2006
đł Fintech
đ€ Artificial Intelligence
đ€ B2B
Fintech âą Artificial Intelligence âą B2B
SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.
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501 - 1000 employees
Founded 2006
đł Fintech
đ€ Artificial Intelligence
đ€ B2B
Fintech âą Artificial Intelligence âą B2B
SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.
âą Lead the build of an automated payments reporting and analytics platform âą Design and build daily ELT pipelines integrating payment processors, CRM, and ERP data into a cloud data warehouse âą Automate financial reporting to the general ledger and ensure reconciliation with the reporting layer âą Build and maintain a data-mapping layer resolving customer identity across systems âą Model documented data marts supporting drill-down and variance analysis âą Deliver data models powering KPI and forecasting dashboards âą Implement pipeline monitoring, data-quality checks, alerting, and auditability âą Collaborate with BI, finance, and integration partners to define requirements and phased delivery
âą 5+ years of professional data engineering experience âą Track record of owning production data pipelines end to end âą Expert-level SQL, including complex analytical queries, window functions, query optimization, and dimensional/star-schema modeling âą Hands-on experience with a modern cloud data warehouse, ideally Snowflake or comparable platforms such as BigQuery, Redshift, or Databricks âą Strong experience with dbt or an equivalent ELT transformation framework âą Experience building and scheduling ELT/ETL pipelines with Airflow, Dagster, Prefect, or another workflow orchestrator âą Experience designing idempotent, re-runnable, incremental loads âą Experience implementing data-quality testing, monitoring, and alerting âą Strong written and spoken English communication skills âą Ability to work directly with finance and business stakeholders and explain data-model decisions âą Payments, FinTech, or financial-services domain experience is a bonus âą Payment-processor integration experience is a bonus âą BI/analytics team and self-service reporting tool experience is a bonus âą Forecasting/cohort-based analytical model experience is a bonus âą Data contracts and governance experience is a bonus
âą Fully remote work âą Flexible working schedule âą Stable workload and stable income âą Provided laptops âą Licensed software âą Performance and merit reviews âą Personal development plans âą Individual learnings through the corporate library âą Public speaking support âą Company-wide tech and cultural events âą CSR initiatives âą HR support âą Referral bonus program
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