We are looking for an experienced Data Engineer to join a project focused on building and developing modern cloud-based data solutions. You will work primarily with Microsoft Azure, Azure Data Factory and Snowflake, designing end-to-end data pipelines and transforming data into reliable, scalable datasets for reporting and analytics.
The role combines hands-on data engineering, data modelling and cloud integration, with a strong focus on performance, automation and data quality.
Your responsibilities:
- Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake.
- Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.
- Design and maintain data models in Snowflake, covering staging, core and data mart layers.
- Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages.
- Write, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation.
- Integrate Azure services, including Azure Data Lake Storage Gen2, Azure Key Vault, Azure SQL and Azure Functions.
- Monitor data pipelines, troubleshoot failures and optimise solutions for both performance and cost.
- Apply CI/CD and Git-based version control, supporting controlled promotion of data solutions between environments.
- Create and maintain technical documentation for pipelines and data models.
- Collaborate with stakeholders to understand business needs and translate them into scalable data solutions.
What we're looking for:
- At least 3 years of professional experience as a Data Engineer or in a similar data-focused role.
- Proven experience building end-to-end data pipelines, from ingestion through transformation to consumption.
- Hands-on commercial experience with Azure Data Factory in production environments.
- Practical experience with Snowflake, including data loading, data modelling, performance optimisation and access control.
- Advanced knowledge of SQL, including joins, CTEs, window functions and query optimisation.
- Solid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts.
- Good understanding of data warehousing concepts, including dimensional modelling, Slowly Changing Dimensions (SCD) and incremental loading.
- Ability to troubleshoot data-processing issues and work independently on technical solutions.
Nice to have:
- Experience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates.
- Experience building CI/CD pipelines with Azure DevOps or GitHub Actions.
- Relevant cloud or data certifications, for example Azure Data Engineer Associate (DP-203) or SnowPro Core.
Fluency in Polish and English required.
Hybrid work model: 2 days from the office, 3 days of home office.
Office location: Warsaw, Poznań, Lublin, Katowice, Rzeszów or Łódź.
Thank you for your interest in our offer. We will contact selected candidates whose experience best matches the requirements of the role.
Additional Information
We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: