Expert Data Consultant with GCP

GFT Poland; Kraków, Łódź; Vor Ort; PLN 180.000 - 240.000; Vollzeit

Zusammenfassung

GFT Poland is seeking an Expert Data Consultant to design and build modern data platforms and products across cloud and on-premise environments. You will work with business and technical stakeholders to create scalable data solutions and optimize data processing within agile teams.

Responsibilities include developing data ETL/ELT pipelines, onboarding data sources, and delivering data warehouses and data products with robust performance and scalability.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Python

Data modelling

Data warehousing

Data lakes

Data lakehouse

BigQuery

DBT

Airflow

Trino

CI/CD

ETL/ELT

Jobbeschreibung

O projekcie:

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

Why Choose GFT?- A culture of top performance- Deep tech IT engineering & consulting- 1200 skilled & top-class experts- 77% of the team are regular/senior- Products that contribute to a sustainable world- Competitive salary and benefits- Ambitious projects, trainings and tools you need to flourish- Google Cloud Partner of the Year - for going above and beyond for customers

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.

Wymagania:

• 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

Codzienne zadania:

• 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