Senior Data Engineer (Snowflake & Databricks)

Itransition; Wrocław; Remote; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Remote work options

Flexible working hours

Career development system

Job summary

Itransition in Poland is seeking a Senior Data Engineer to design, build, and operate cloud data solutions using Snowflake and Databricks. You will work with clients across industries, translating business requirements into reliable data pipelines and models.

The role combines hands-on engineering with technical ownership and collaboration on architecture and delivery decisions. You will design and maintain ETL/ELT pipelines, develop data models, implement data security, and contribute to

Qualifications

• 5+ years of hands-on data engineering experience delivering production data solutions.
• Hands-on with Snowflake and Databricks in cloud environments.
• Strong SQL and Python, including PySpark.
• Experience using dbt to develop and test data transformations.
• Cloud data solutions experience, preferably on Azure.
• Experience with Git, code reviews, and CI/CD pipelines.

Responsibilities

• Understand business needs with client stakeholders and define technical requirements.
• Contribute to solution design, explain options, trade-offs, and effort.
• Design, build, and maintain production ETL/ELT pipelines across sources.
• Develop data models and transformations to support analytics and processes.
• Implement data validation, error handling, monitoring, and recovery.
• Improve pipeline performance and manage compute/storage costs.
• Apply data security and governance practices, including access control.
• Use version control, automated testing, and CI/CD for maintainable delivery.
• Create technical documentation and transfer knowledge to client teams.
• Support project estimation, raise delivery risks, and mentor engineers.

Skills

SQL

Python

PySpark

Data modeling

Git

Tools

Snowflake

Databricks

dbt

Terraform

Job description

We are looking for a Senior Data Engineer to design, build, and operate cloud data solutions using Snowflake and Databricks. You will work directly with clients across different industries, translating business requirements into reliable data pipelines and models. The role combines hands-on engineering with technical ownership, stakeholder communication, and collaboration on architecture and delivery decisions.

Key Responsibilities

• Work with client stakeholders to understand business needs, assess existing systems, and define technical requirements.
• Contribute to solution design, explaining technical options, trade-offs, and implementation effort.
• Design, build, and maintain production ETL/ELT pipelines integrating databases, APIs, and file-based sources.
• Develop data models and transformation workflows that support analytics and business processes.
• Implement incremental loading, data validation, error handling, monitoring, and recovery mechanisms.
• Improve pipeline performance and manage compute and storage costs.
• Apply data security and governance practices, including access control and protection of sensitive data.
• Use version control, code reviews, automated testing, and CI/CD to deliver maintainable solutions.
• Create technical documentation and support knowledge transfer to client teams.
• Support project estimation and planning, raise delivery risks, and mentor other engineers.

Core Skills & Qualifications

• 5+ years of hands-on data engineering experience, including delivery and support of production data solutions.
• Practical experience with both Snowflake and Databricks.
• Strong SQL and Python skills, including hands-on experience with PySpark.
• Experience using dbt to develop, test, and maintain data transformations.
• Experience designing and deploying cloud data solutions, preferably on Azure.
• Strong data modelling skills, including dimensional modelling and an understanding of Data Vault 2.0 concepts..
• Experience with Git, code reviews, automated testing, and CI/CD.
• Ability to investigate data quality issues and troubleshoot pipeline failures and performance problems.
• Experience working directly with clients or multiple stakeholder groups.
• Ability to work effectively in agile and startup environments, adapting to changing priorities and evolving requirements.
• Strong critical thinking and problem-solving skills, with the ability to challenge assumptions, evaluate alternatives, and make evidence-based decisions.
• Ability to work independently, clarify ambiguous requirements, and take ownership of delivery.

Nice to Have

• Experience with change data capture, streaming, or event-driven processing.
• Experience with infrastructure as code, such as Terraform.
• Experience with AWS in addition to Azure.
• Snowflake or Databricks certifications.
• Experience mentoring engineers or leading technical delivery.
• Familiarity with BI tools such as Power BI, Tableau, or Looker.

We offer:

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely