[C3T] Data Warehouse Engineer
At a glance
Mid-level Data Engineering role at Software Mind. Remote, Poland · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Analyze and interpret large datasets, turning the results into insights people can act on
- Build and maintain the pipelines that ingest data and transform it for use
- Shape the data warehouse models that organize project data
What you bring
- At least two years of commercial data warehouse work and at least one year using cloud solutions
- Hands-on experience with Snowflake, Apache Airflow and Python
- Strong SQL skills, including complex analytical queries and data transformations
- Knowledge of the Data Lakehouse approach and experience with Git
Who this fits
This mid-level role suits an analytical engineer who is proactive, communicates well, and is keen to learn. The position is remote, with flexible cooperation options, and may involve travel for international projects.
From the employer
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines delivering results with enjoyment.
Project – the aim you’ll have
We are looking for a proactive and analytical DWH Engineer who is eager to take on new challenges and think outside the box. The ideal candidate will have a commercial experience in datawarehouse and cloud areas, with additional experience in AWS and PowerBI being a plus. Prior experience in the media or advertising industry is not required; we value curiosity and a willingness to learn.
Role – how you’ll contribute
- Analyze, process, and interpret large datasets to generate actionable insights
- Develop and maintain ingestion and transformation processes
- Design data warehouse models
Expectations – the experience you need
- Commercial experience with cloud-based solutions (at least 1 year)
- Commercial experience with data warehouses (at least 2 years)
- Experience with Snowflake
- Experience with Apache Airflow and Python
- Strong proficiency in SQL (including complex analytical queries and data transformations)
- Understanding of the Data Lakehouse approach
- Experience with dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is a plus
- Experience with source version control systems (Git)
- Experience with data visualization and BI tools (such as Power BI or Looker) is a plus
- Excellent analytical and problem-solving skills
- A proactive, open-minded approach to challenges and learning new technologies
- Strong communication and collaboration skills
What we offer:
- Flexible and remote cooperation options
- International projects with leading global clients
- Travels related to international projects
- Non-corporate atmosphere
- Access* to language classes
- Access* to knowledge-sharing initiatives
- Access* to private healthcare and life insurance
- Access* to multisport card
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
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