Senior Data Engineer

Position overviewWe are looking for a hands-on Data Engineer who can own data work end to end, from understanding source systems and building ingestion and transformation pipelines to delivering clean, well-modeled, production-ready datasets for downstream consumers.

We are seeking a data-first professional who is equally comfortable writing SQL and dbt transformations, building and orchestrating Python/Airflow pipelines, investigating data issues deep within the stack, and designing data models that will stand the test of time.

Responsibilities

Build, maintain, and enhance data pipelines and transformation workflows.

Develop and orchestrate ingestion and processing pipelines in Python and Airflow.

Develop clean, reliable, and reusable data models to serve downstream analytics and application consumers.

Work with SQL and Snowflake to investigate data, troubleshoot issues, and implement transformations.

Translate business and downstream requirements into appropriate data models and pipeline designs.

Perform data analysis, validation, reconciliation, and data quality checks.

Troubleshoot and resolve data issues across the pipeline, from source systems through ingestion and transformation to the serving layer.

Optimize Snowflake performance and cost, including query tuning, warehouse sizing, and clustering and partitioning decisions.

Take ownership of assigned tasks and independently drive them through development, testing, and completion.

Work closely with business, analytics, and engineering teams to deliver production-ready solutions.

Requirements

Strong SQL and data analysis skills.

Strong hands-on experience with Snowflake.

Hands-on experience with dbt and modern ELT and data transformation practices.

Strong experience with Python and Airflow.

Solid understanding of data modeling, including dimensional modeling and fact and dimension structures.

Strong experience with AWS cloud services.

Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements.

Experience debugging and supporting existing data pipelines in production.

Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision.

What We Offer:

Vacation days: Up to 26 business days per year.10 illness/special days off per year (fully paid, no medical papers needed) for all contract types

Health and life insurance (Luxmed)

MyBenefit platform with Multisport option

Internal psychological support service

English language classes from the first working dayAccess to external learning platforms: O’

Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training

• Flexible workplace: work from the office, from home, or choose a hybrid optionTech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) when not involved in a project
• Certification reimbursement (AWS, GCP, Microsoft, etc.)