Expert Data Consultant with GCP (Łódź, PL, 90-118)

GFT Technologies SE

Łódź

On-site

PLN 214,000 - 282,000

Full time

14 days+
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Job summary

GFT Technologies SE in Poland is seeking an Expert Data Consultant to help design and build modern data platforms 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 include designing data models, developing ETL/ELT pipelines, onboarding data sources, and building data warehouses and products to

Qualifications

  • 7+ years of commercial experience as a Data Engineer.
  • Strong SQL and Python programming skills.
  • Experience with data modelling.
  • Understanding of data warehousing, data lakes and data lakehouse architectures.
  • Hands-on experience with GCP data engineering tools.
  • Very good knowledge of BigQuery.
  • Experience with DBT, Airflow and Trino.
  • Understanding of CI/CD principles and practices.
  • Experience designing and building scalable data pipelines.

Responsibilities

  • 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.

Skills

SQL
Python
Data modelling
CI/CD
Data pipelines

Tools

DBT
Airflow
Trino
BigQuery
GCP tools
Snowflake
Databricks
Spark/PySpark

Job description

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
  • Experience with data modelling
  • Understanding of data warehousing, data lakes and data lakehouse architectures
  • Hands-on experience with GCP data engineering tools
  • Very good knowledge of BigQuery
  • Experience with DBT, Airflow and Trino
  • Understanding of CI/CD principles and practices
  • Experience designing and building scalable data pipelines
Nice to have
  • Experience with Spark/PySpark
  • Experience with BI tools such as Power BI, Qlik or Apache Superset
  • Experience with Snowflake
  • Experience with Databricks
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