Role Description We are looking for a freelance Data Engineer focused on data integration to build and maintain the pipelines that connect our many source systems into a unified, trustworthy data foundation. You will design ETL/ELT processes, integrate APIs and third-party platforms, model data for reporting, and ensure data quality across the organization. This is a fully remote role working closely with analytics, finance, and engineering stakeholders. Key Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines that move and transform data between systems. - Integrate data from diverse sources — APIs, databases, SaaS platforms, flat files, and spreadsheets — into a central warehouse. - Develop and maintain connectors and reconciliation logic across business systems (e.g., project management, time-tracking, finance, and invoicing tools). - Model and structure data for analytics, reporting, and downstream applications. - Implement data validation, quality checks, monitoring, and alerting to ensure accuracy and reliability. - Optimize queries, storage, and pipeline performance for cost and speed. - Document data flows, schemas, mappings, and transformation logic. - Collaborate with analysts, finance, and engineering teams to understand requirements and deliver clean, usable datasets. - Support data governance, security, and privacy best practices. Qualifications - 3+ years of experience in data engineering, data integration, or a closely related role. - Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server). - Proficiency in Python (or a comparable language) for data processing and automation. - Hands-on experience building ETL/ELT workflows and orchestration (e.g., n8n, or similar). - Experience integrating REST APIs, webhooks, and third-party SaaS data sources. - Experience with data warehouses (BigQuery, Snowflake, or similar). - Understanding of data modeling, warehousing concepts, and data quality practices. - Comfort working with messy, real-world data across formats (CSV, Excel, JSON, XML). - Strong problem-solving skills and clear communication in a remote team. Nice to Have - Experience with cloud data platforms (AWS, or Azure). - Exposure to finance or operational data and cross-system reconciliation. - Experience with BI/visualization tools (Looker, Power BI, Tableau). - Experience in an agency or multi-entity, multi-currency environment. Benefits - Fully remote working with flexible hours. - A collaborative team spanning engineering, analytics, and finance. - Competitive salary and benefits package. How to Apply Submit your CV along with examples of pipelines, integrations, or data projects you have delivered.