Data Engineer – AI-Accelerated Development (Snowflake, Airflow, Python)
⚲ Warsaw, Krakow, Wroclaw, Poznan, Gdansk, Bialystok
Do uzgodnienia
Wymagania
- Python
- Snowflake
- Airflow
- SQL
Opis stanowiska
At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.
THE WORK:
- Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems
- Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting
- Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications
- Improve data quality through validation, testing, monitoring, and lineage
- Investigate production incidents, perform root-cause analysis, and implement long-term fixes
- Collaborate with analytics engineers, data scientists, product teams, and software engineers
- Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews)
- Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining quality
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
THE WORK:
- Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems
- Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting
- Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications
- Improve data quality through validation, testing, monitoring, and lineage
- Investigate production incidents, perform root-cause analysis, and implement long-term fixes
- Collaborate with analytics engineers, data scientists, product teams, and software engineers
- Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews)
- Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining quality
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
🔍 Dekoder Ogłoszenia
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AI-Accelerated Development
Może oznaczać wykorzystanie narzędzi AI do wspomagania pracy, ale też potencjalnie niższe wymagania co do doświadczenia w niektórych obszarach.
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Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances
Chociaż praca zdalna jest dominująca, należy być przygotowanym na okresowe wizyty w biurze lub u klienta, co może wymagać elastyczności.
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implement cutting-edge solutions
Często oznacza pracę z najnowszymi technologiami, ale może też sugerować brak stabilnych, ugruntowanych rozwiązań i konieczność ciągłego eksperymentowania.
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Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews)
Oznacza, że oczekuje się aktywnego udziału w tworzeniu i utrzymaniu dobrych praktyk inżynierskich, co może być dodatkowym obowiązkiem poza podstawowymi zadaniami.
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Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining quality
Narzędzia AI mają przyspieszyć pracę, ale utrzymanie jakości przy ich użyciu może wymagać dodatkowego wysiłku i weryfikacji.