Senior Data Engineer

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SPD Technology

501 - 1000 employees

Founded 2006

💳 Fintech

đŸ€– Artificial Intelligence

đŸ€ B2B

Fintech ‱ Artificial Intelligence ‱ 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.

📋 Description

‱ Lead the build of an automated payments reporting and analytics platform ‱ Design and build daily ELT pipelines integrating payment processors, CRM, and ERP data into a cloud data warehouse ‱ Automate financial reporting to the general ledger and ensure reconciliation with the reporting layer ‱ Build and maintain a data-mapping layer resolving customer identity across systems ‱ Model documented data marts supporting drill-down and variance analysis ‱ Deliver data models powering KPI and forecasting dashboards ‱ Implement pipeline monitoring, data-quality checks, alerting, and auditability ‱ Collaborate with BI, finance, and integration partners to define requirements and phased delivery

🎯 Requirements

‱ 5+ years of professional data engineering experience ‱ Track record of owning production data pipelines end to end ‱ Expert-level SQL, including complex analytical queries, window functions, query optimization, and dimensional/star-schema modeling ‱ Hands-on experience with a modern cloud data warehouse, ideally Snowflake or comparable platforms such as BigQuery, Redshift, or Databricks ‱ Strong experience with dbt or an equivalent ELT transformation framework ‱ Experience building and scheduling ELT/ETL pipelines with Airflow, Dagster, Prefect, or another workflow orchestrator ‱ Experience designing idempotent, re-runnable, incremental loads ‱ Experience implementing data-quality testing, monitoring, and alerting ‱ Strong written and spoken English communication skills ‱ Ability to work directly with finance and business stakeholders and explain data-model decisions ‱ Payments, FinTech, or financial-services domain experience is a bonus ‱ Payment-processor integration experience is a bonus ‱ BI/analytics team and self-service reporting tool experience is a bonus ‱ Forecasting/cohort-based analytical model experience is a bonus ‱ Data contracts and governance experience is a bonus

đŸ–ïž Benefits

‱ Fully remote work ‱ Flexible working schedule ‱ Stable workload and stable income ‱ Provided laptops ‱ Licensed software ‱ Performance and merit reviews ‱ Personal development plans ‱ Individual learnings through the corporate library ‱ Public speaking support ‱ Company-wide tech and cultural events ‱ CSR initiatives ‱ HR support ‱ Referral bonus program

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