Data Engineer – AI-Accelerated Development (Snowflake, Airflow, Python)

The Work

• Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems.
• Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting.
• Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications.
• Improve data quality through validation, testing, monitoring, and lineage.
• Investigate production incidents, perform root-cause analysis, and implement long-term fixes.
• Collaborate with analytics engineers, data scientists, product teams, and software engineers.
• Contribute to engineering standards, including testing, Git workflows, CI/CD, documentation, and code reviews.
• Leverage AI coding tools, such as GitHub Copilot, Codex, and Cursor, to accelerate development while maintaining quality.

The work location may include a mix of remote work, onsite work at a client, and work in an office, depending on project circumstances. Some in-person time is expected for collaboration, learning, and relationship building.

What’s in It for You?

• Work on modern cloud-based data platforms and own meaningful parts of data solutions.
• Gain hands-on experience across the full data engineering lifecycle.
• Be part of a high-impact engineering team delivering data-driven solutions.

Here’s What You’ll Need

• Strong SQL skills, including complex queries, CTEs, window functions, and performance optimization.
• Experience with Python for data engineering and automation.
• Experience with modern cloud data warehouses, such as Snowflake, BigQuery, Redshift, or Synapse.
• Experience building pipelines using Apache Airflow or similar orchestration tools.
• Experience operating production data systems with a focus on reliability and maintainability.
• Experience using Git and collaborative software engineering practices.
• Strong ownership mindset and ability to work in fast-changing environments.
• Effective communication with technical and business stakeholders.
• Experience using AI coding assistants and the ability to critically review generated code.

Bonus Points If You Have

• Experience with Databricks, Apache Spark, or Delta Lake.
• Familiarity with DBT, Kafka, Kinesis, or other streaming technologies.
• Experience with Terraform, Infrastructure as Code, or CI/CD pipelines.
• Experience building AI or ML data pipelines.

What We Offer

• Individual support from a People Lead and a clearly defined professional development path, including the possibility of a session with a Coach.
• A comprehensive training package covering soft, technical, and language skills; access to e-learning platforms; Gallup test; GenAI training; and possible co-financing of courses and certifications.
• Employee Assistance Program offering legal, financial, and psychological consultations.
• Employee Share Purchase Plan, with quarterly dividends for eligible employee shareholders.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the Worksmile benefits platform, including the Multisport card.