Senior Data Engineer

About the role

We are looking for a Senior Data Engineer to design and maintain scalable data pipelines and platforms supporting Accounting, Finance, Payments, and Tax functions within a large-scale financial systems platform. You will build ETL/ELT workflows using Python, dbt, and Airflow, working across Snowflake, Redshift, Kafka, and Spark to ensure data availability and reliability for critical business operations. The role operates in a cross-functional Agile environment with direct stakeholder engagement across Engineering, Product, and Analytics teams.

What you will do

• Design, develop, and maintain scalable and reliable ETL/ELT pipelines;
• Build and optimize data workflows using tools such as dbt and Airflow;
• Develop and maintain data solutions leveraging technologies such as Snowflake, Redshift, Kafka, Spark, and Hive;
• Work with both SQL and NoSQL databases to support data ingestion, transformation, and analytics needs;
• Monitor, troubleshoot, and improve data pipeline performance, scalability, and reliability;
• Collaborate closely with cross-functional teams including Engineering, Product, Analytics, and Business stakeholders;
• Participate in Agile ceremonies and contribute to sprint planning and delivery commitments;
• Manage multiple priorities effectively while ensuring timely and high-quality deliverables;
• Contribute to data architecture discussions and help drive engineering best practices.

Must haves

• 5+ years of professional experience in Data Engineering or Data Warehousing roles;
• Strong programming skills in Python;
• 5+ years of experience building data pipelines using ETL/ELT tools, with dbt preferred;
• 3+ years of hands-on experience with big data technologies such as Snowflake, Redshift, Kafka, Spark, or Hive;
• Extensive experience working with both SQL and NoSQL databases;
• Strong expertise with workflow orchestration and pipeline management tools such as Airflow;
• Strong understanding of scalable data architecture and engineering best practices;
• Excellent communication and stakeholder management skills;
• Proven ability to manage competing priorities and deliver within agreed sprint commitments;
• Comfortable working in highly collaborative, cross-functional Agile teams;
• Self-starter mindset with strong analytical, problem-solving, and critical-thinking abilities;
• Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field preferred, or Bachelor’s degree with relevant experience;
• Upper-intermediate English level.

Nice to haves

• Experience working in cloud-based data environments;
• Familiarity with modern data warehousing and distributed systems concepts;
• Exposure to data governance, observability, or data quality frameworks.