/Expert Data Consultant

Expert Data Consultant

Polandplvia direct
// Job Type
Full Time
// Salary
PLN 205 - 205/hour
// Salary Range
205–205 PLN / hour
// Posted
1 month ago
// Work Mode
hybrid

About the Role

Expert Data Consultant Expert Data Consultant

Łódź, PL, 90-118 Kraków, PL, 30-302 Poznań, WP, PL, 61-569 Warszawa, PL, 00-839

Type of contract: B2B contract

Salary range: 155 - 205 PLN/H

What will you do?

As an Expert Data Consultant, you will help design and build modern data platforms and products across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams.

Your tasks

  • Design, build, test and deploy cloud and on-premise data models and transformations
  • Develop and maintain ETL and ELT pipelines
  • Onboard new data sources and build data ingestion frameworks
  • Design, build, test and deploy cloud data warehouses and data products
  • Optimize data views and schemas for reporting and visualization use cases
  • Review, interpret and implement business and technical requirements
  • Collaborate on backlog refinement, user stories and epics in Jira
  • Ensure data platform performance, scalability and reliability

Requirements

  • 7+ years of commercial experience as a Data Engineer
  • Strong SQL, Python and Spark/PySpark skills
  • Experience with data modelling
  • Understanding of data warehousing, data lakes and data lakehouse architectures
  • Hands-on experience with cloud data engineering tools, preferably in GCP
  • Experience with DBT, Airflow and Trino
  • Understanding of CI/CD principles and practices
  • Experience designing and building scalable data pipelines
  • Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)

Nice to have

  • Experience with BI tools such as Power BI, Qlik or Apache Superset
  • Experience with Snowflake
  • Experience with Databricks

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