Note: The job is a remote job and is open to candidates in USA. Harnham is seeking a Senior Data Engineer to join a growing Data Engineering team focused on modern, cloud-based data platforms. The role is responsible for building scalable data pipelines, integrating data sources, improving data quality, and enabling trusted datasets for analytics, reporting, AI, and business decision-making.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Python, SQL, and cloud-native technologies
- Ingest and integrate data from APIs, SaaS applications, enterprise systems, databases, and external data providers
- Build and optimize ELT/ETL workflows that move data into a centralized Snowflake data platform
- Develop and maintain bronze and silver layer datasets within a medallion architecture framework
- Implement data quality checks, validation rules, monitoring, and observability processes
- Troubleshoot production issues, investigate data discrepancies, and support platform reliability
- Partner closely with Analytics Engineers, Data Scientists, Product teams, and business stakeholders to deliver trusted datasets
- Contribute to data governance, metadata management, and platform best practices
- Optimize pipeline performance, scalability, and operational efficiency
- Drive continuous improvement in DataOps, automation, and engineering standards
Skills
- 5+ years of experience in Data Engineering or a related field
- Strong Python programming skills, including experience working with data frameworks and APIs
- Advanced SQL skills with experience building complex transformations and analytical datasets
- Hands-on experience with Snowflake and modern cloud data platforms
- Experience designing and maintaining ELT/ETL pipelines in production environments
- Experience with orchestration tools such as Airflow
- Experience working with cloud platforms such as Azure, AWS, or GCP
- Strong understanding of data modeling, dimensional modeling, and data warehousing concepts
- Experience implementing data quality, monitoring, and observability practices
- Ability to support and troubleshoot production data pipelines
- Experience with Databricks, Kafka, Event Hubs, or other streaming technologies
- Experience with dbt and modern data transformation frameworks
- Familiarity with CDC, incremental processing, and real-time data architectures
- Experience working within a medallion architecture (Bronze/Silver/Gold)
- Exposure to Informatica IDMC or similar enterprise data integration platforms
- Experience supporting AI, machine learning, or advanced analytics initiatives
- Knowledge of data governance, lineage, privacy, and compliance frameworks
- Experience working with large-scale transactional or customer data environments
Company Overview
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