Expert Data Engineer
⚲ Kraków, Poznan, Wrocław, Łódź, Warszawa
17 400 - 26 700 PLN (PERMANENT)
Wymagania
- Data engineering
- SQL
- Python
- Data modelling
- Data warehouse
- Data Lake
- GCP
- dbt
- Airflow
- Trino
- CI/CD
- Data pipelines
- BigQuery
- Bi tools (nice to have)
- Power BI (nice to have)
- Qlik (nice to have)
- Apache Superset (nice to have)
- Snowflake (nice to have)
- Databricks (nice to have)
- Spark (nice to have)
- PySpark (nice to have)
Opis stanowiska
O projekcie:
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.
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
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
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.
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
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
🔍 Dekoder Ogłoszenia
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Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)
Praca zdalna jest możliwa, ale wymaga regularnego pojawiania się w biurze, co może być uciążliwe w zależności od lokalizacji.
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Benefit package tailored to your needs
Pakiet benefitów jest standardowy, a "dopasowanie do potrzeb" może oznaczać wybór spośród ograniczonej listy opcji.
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Work From Anywhere (up to 140 days/year abroad)
Możliwość pracy z zagranicy jest ograniczona czasowo i może wymagać spełnienia dodatkowych warunków formalnych.
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highly experienced and dedicated team
Zespół jest doświadczony, ale "dedykacja" może sugerować wysokie zaangażowanie i potencjalnie pracę ponad standardowe godziny.
🔴
7+ years of commercial experience as a Data Engineer
Wymagane jest bardzo długie doświadczenie, co może oznaczać, że szukają kandydata na stanowisko seniorskie lub leadowe, a nie tylko "eksperta".