Expert Data Engineer
At a glance
Mid-level Data Engineering role at GFT Technologies. Łódź.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and deploy data models, transformations, warehouses and data products across cloud and on-premise environments
- Create and maintain ETL and ELT pipelines, bringing new sources into the platform through ingestion frameworks
- Tune data views and schemas so reporting and visualization use cases work effectively
- Turn business and technical needs into platform changes, and help shape Jira backlogs, user stories and epics
- Keep data platforms reliable, scalable and performant
What you bring
- At least seven years of professional work as a data engineer
- Strong SQL and Python skills, plus practical data modelling experience
- Hands-on use of GCP data engineering tools and strong BigQuery knowledge
- Familiarity with dbt, Airflow, Trino and CI/CD practices
Who this fits
This role suits an experienced data engineer comfortable building scalable pipelines and working across cloud and on-premise environments. You’ll work in an agile delivery team and attend an office in Łódź or another listed Polish city two days per week.
From the employer
Type of contract: Employment contract
Salary range: 17400 - 26700 PLN gross
What will you do?
As an Expert Data Engineer, 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
Your skills
- 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
We offer
- Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)
- Working in a highly experienced and dedicated team
- Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
- Online training and certifications
- Access to e-learning platform
- Work From Anywhere (up to 140 days/year abroad)
- Social events
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