Senior Data Engineer ID65436

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.

Perks and benefits

Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.

Job Type: Full-time

Work Location: Remote