Data Engineer (GCP) - Data & AI Factory
⚲ Remote
13 000 - 19 000 PLN (PERMANENT)
Wymagania
- GCP
- dbt
- AI (nice to have)
- Data visualization (nice to have)
- Relational database (nice to have)
- Data build tool (nice to have)
- BI (nice to have)
- Data warehouse (nice to have)
- ETL (nice to have)
- Data modeling (nice to have)
- NoSQL (nice to have)
- Big Data (nice to have)
- Spark (nice to have)
- Hadoop (nice to have)
- Hive (nice to have)
- Communication skills (nice to have)
Opis stanowiska
O projekcie:
For our customer, French-origin IT consulting and digital transformation company we are seeking experienced Data Engineers to join a Data & AI Factory team.
Wymagania:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent experience)- Strong proficiency in Python- Experience working with with Vertex AI and GCP data services- Strong SQL skills and experience with relational databases- Solid experience with dbt (Data Build Tool)- Experience with Power BI for data visualization and reporting- Exposure to Dataiku (certification is a strong advantage)- Experience with data architecture, including data warehouse design, ETL/ELT pipelines, and data modeling- Knowledge of NoSQL databases and distributed data systems- Exposure to big data technologies such as Apache Spark, Hadoop (Hive, Pig)- Strong communication skills and fluency in English
Codzienne zadania:
- Work as part of a Data & AI Factory team supporting data operations and AI initiatives for enterprise clients
- Design, build, maintain, and troubleshoot data pipelines, transformations, and data models
- Develop and support data observability and data quality solutions
- Translate business requirements into data-driven solutions and analytical products
- Act as a technical advisor and mentor for junior engineers
- Lead by example in engineering best practices, code quality, and delivery standards
- Collaborate in an Agile environment and follow ITIL-aligned operational practices
- Participate in on-call rotations (including nights and weekends when required)
For our customer, French-origin IT consulting and digital transformation company we are seeking experienced Data Engineers to join a Data & AI Factory team.
Wymagania:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent experience)- Strong proficiency in Python- Experience working with with Vertex AI and GCP data services- Strong SQL skills and experience with relational databases- Solid experience with dbt (Data Build Tool)- Experience with Power BI for data visualization and reporting- Exposure to Dataiku (certification is a strong advantage)- Experience with data architecture, including data warehouse design, ETL/ELT pipelines, and data modeling- Knowledge of NoSQL databases and distributed data systems- Exposure to big data technologies such as Apache Spark, Hadoop (Hive, Pig)- Strong communication skills and fluency in English
Codzienne zadania:
- Work as part of a Data & AI Factory team supporting data operations and AI initiatives for enterprise clients
- Design, build, maintain, and troubleshoot data pipelines, transformations, and data models
- Develop and support data observability and data quality solutions
- Translate business requirements into data-driven solutions and analytical products
- Act as a technical advisor and mentor for junior engineers
- Lead by example in engineering best practices, code quality, and delivery standards
- Collaborate in an Agile environment and follow ITIL-aligned operational practices
- Participate in on-call rotations (including nights and weekends when required)
🔍 Dekoder Ogłoszenia
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Data & AI Factory
Może oznaczać centralny, zunifikowany zespół do obsługi danych i AI, ale też potencjalnie miejsce, gdzie wiele projektów jest realizowanych w sposób powtarzalny i z ograniczoną autonomią.
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supporting data operations and AI initiatives for enterprise clients
Może oznaczać zarówno ciekawe projekty rozwojowe, jak i rutynowe utrzymanie systemów oraz reagowanie na zgłoszenia od klientów.
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Exposure to Dataiku (certification is a strong advantage)
Wymóg 'exposure' (ekspozycji) sugeruje, że nie jest to kluczowa umiejętność, ale posiadanie certyfikatu jest mile widziane, co może oznaczać, że narzędzie będzie używane, ale niekoniecznie jako główny obszar odpowiedzialności.
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Act as a technical advisor and mentor for junior engineers
Oprócz zadań technicznych, będziesz odpowiedzialny za wsparcie i rozwój młodszych kolegów, co może oznaczać dodatkowe obowiązki.
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Lead by example in engineering best practices, code quality, and delivery standards
Oczekuje się, że będziesz wyznaczał standardy i promował dobre praktyki, co może oznaczać potrzebę aktywnego wpływania na procesy i kulturę zespołu.