Senior Data Engineer (m/f/d)
⚲ Łódź, Bałuty
Do uzgodnienia
Wymagania
- Python
- SQL
- Google Cloud Platform
Opis stanowiska
Nasze wymagania:
Very good knowledge of SQL: Expertise in querying, designing, and managing relational databases such as MySQL, PostgreSQL, or SQL Server.
Very good knowledge of Cloud Solutions (GCP is an asset) understanding database security and scaling in cloud environments.
Very good knowledge of Python)
Knowledge of Agentic AI
English level B2 or higher
Mile widziane:
Google Cloud Platform knowledge
Knowledge of Big Data technologies: Understanding of tools like Apache Spark, Hadoop, and Data Lakes for storing and processing large datasets.
O projekcie:
Are you experienced in database engineering and leveraging cloud-based technologies? Join our dynamic and innovative team in the Sales Analytics Cluster, where we turn data into actionable insights using the latest advanced analytics and AI solutions. In this role, you will contribute to optimizing and managing our data ecosystem, collaborating with experts to design and deliver innovative solutions that empower the bank’s sales steering and customer relationship management.
Zakres obowiązków:
Design, develop, and maintain highly efficient and scalable ETL processes and data pipelines to integrate data from diverse sources.
Implement robust data models, ensuring data quality, consistency, and accessibility for sales analytics.
Monitor, troubleshoot, and optimize existing data pipelines and systems to ensure performance, reliability, and cost-efficiency.
Architect and implement scalable and resilient data infrastructure on our GCP infrastructure, utilizing cloud-native data services. Optimize current solutions.
Apply software engineering best practices, including version control (Git), CI/CD pipelines, and infrastructure as code (Terraform).
Leverage your understanding of agentic AI concepts to explore and implement solutions that can automate, optimize, and self-correct data pipelines.
Apply Generative AI (GenAI) techniques and tools to accelerate data engineering workflows, including automated code generation for ETL scripts, data schema creation, intelligent data quality rule definition, and synthetic data generation for testing.
Help evaluate and integrate AI-assisted development tools to enhance productivity in data engineering tasks like pipeline creation, code generation, and troubleshooting.
Work closely with data scientists and business analysts to understand data requirements and deliver impactful data solutions.
Very good knowledge of SQL: Expertise in querying, designing, and managing relational databases such as MySQL, PostgreSQL, or SQL Server.
Very good knowledge of Cloud Solutions (GCP is an asset) understanding database security and scaling in cloud environments.
Very good knowledge of Python)
Knowledge of Agentic AI
English level B2 or higher
Mile widziane:
Google Cloud Platform knowledge
Knowledge of Big Data technologies: Understanding of tools like Apache Spark, Hadoop, and Data Lakes for storing and processing large datasets.
O projekcie:
Are you experienced in database engineering and leveraging cloud-based technologies? Join our dynamic and innovative team in the Sales Analytics Cluster, where we turn data into actionable insights using the latest advanced analytics and AI solutions. In this role, you will contribute to optimizing and managing our data ecosystem, collaborating with experts to design and deliver innovative solutions that empower the bank’s sales steering and customer relationship management.
Zakres obowiązków:
Design, develop, and maintain highly efficient and scalable ETL processes and data pipelines to integrate data from diverse sources.
Implement robust data models, ensuring data quality, consistency, and accessibility for sales analytics.
Monitor, troubleshoot, and optimize existing data pipelines and systems to ensure performance, reliability, and cost-efficiency.
Architect and implement scalable and resilient data infrastructure on our GCP infrastructure, utilizing cloud-native data services. Optimize current solutions.
Apply software engineering best practices, including version control (Git), CI/CD pipelines, and infrastructure as code (Terraform).
Leverage your understanding of agentic AI concepts to explore and implement solutions that can automate, optimize, and self-correct data pipelines.
Apply Generative AI (GenAI) techniques and tools to accelerate data engineering workflows, including automated code generation for ETL scripts, data schema creation, intelligent data quality rule definition, and synthetic data generation for testing.
Help evaluate and integrate AI-assisted development tools to enhance productivity in data engineering tasks like pipeline creation, code generation, and troubleshooting.
Work closely with data scientists and business analysts to understand data requirements and deliver impactful data solutions.
🔍 Dekoder Ogłoszenia
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turn data into actionable insights using the latest advanced analytics and AI solutions
Oczekuje się, że będziesz nie tylko przetwarzać dane, ale także aktywnie proponować i wdrażać rozwiązania analityczne i AI, które przynoszą realną wartość biznesową.
🔴
contribute to optimizing and managing our data ecosystem
Może oznaczać zarówno pracę nad istniejącą infrastrukturą, jak i jej gruntowną przebudowę, w zależności od aktualnego stanu.
🟡
collaborating with experts to design and deliver innovative solutions
Wymaga aktywnego udziału w procesie projektowania i wdrażania, a nie tylko wykonywania poleceń.
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empower the bank’s sales steering and customer relationship management
Twoja praca będzie miała bezpośredni wpływ na kluczowe procesy biznesowe banku, co może oznaczać dużą odpowiedzialność i presję.
🟡
cost-efficiency
Oprócz wydajności technicznej, będziesz musiał brać pod uwagę również aspekty finansowe związane z utrzymaniem i rozwojem infrastruktury.