Sr. Financial Data Engineer - SQL, Airflow & Analytics Specialist

Title: Sr. Financial Data Engineer – SQL & Analytics Specialist No 3rd party C2C's please, No sponsorship opportunities, must be able to engage directly About the Role We’re looking for a financially fluent data engineer who thrives on tackling messy, unstructured, and unpredictable data — the kind that doesn’t come in neat tables with perfect documentation. This role is perfect for someone who loves SQL problem-solving, can wrangle data from a variety of sources (APIs, JSON, spreadsheets, legacy systems), and knows how to transform it into accurate, usable insights for finance teams. You’ll work in a fast-moving environment where adaptability, communication, and organization matter more than big-company pedigree. Our data ecosystem is evolving, and you’ll help shape how financial data is managed, documented, and delivered to the people who need it most. What You’ll Do • Own the design, maintenance, and optimization of SQL-based data pipelines with Apache Airflow. • Ingest, clean, and structure financial data from multiple, often messy sources (ERP systems, accounting tools, APIs, flat files). • Partner with Finance, FP&A, and other teams to translate business and accounting requirements into technical solutions. • Ensure data accuracy, reconciliation, and compliance in line with accounting and financial reporting standards. • Create and maintain clear, usable documentation for processes, pipelines, and data models. • Act as the bridge between finance and data engineering — making sure complex financial data is understood by both technical and non-technical stakeholders. • Adapt quickly to shifting priorities, unusual data formats, and ad-hoc reporting needs. What You Bring • Strong background in finance, accounting, or financial analytics — you know your way around ledgers, P&L, and balance sheets. • Expert-level SQL skills — this is your primary tool and you’re comfortable handling complexity in it. • Hands-on experience with Apache Airflow (or similar orchestration tools). • Comfort working with unstructured, messy, or incomplete datasets. • Experience pulling and shaping data from APIs, JSON, and diverse SQL environments. • Solid understanding of ETL/ELT concepts (depth in tools secondary to adaptability). • Excellent communication and documentation skills — able to explain your work to finance teams and tech teams alike. • A flexible, problem-solving mindset — more “figure it out” than “wait for requirements.” Nice to Have • Exposure to Python for light scripting or automation (not a core focus). • Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.). • Previous experience in a startup or fast-scaling environment. Why You’ll Love This Role • You’ll work with high-impact financial data that drives decision-making. • You’ll get variety — every dataset and problem will be a little different. • You’ll shape data processes in an environment where practicality beats bureaucracy.