Informacje o stanowisku

Role Overview

We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions that enable data-driven decision-making. This role focuses on working with large-scale data platforms and cloud technologies, leveraging Azure Data Factory, Databricks, Kubernetes, and enterprise databases. You will play a key role in shaping and supporting a modern data platform using best practices in data engineering, microservices architecture, and cloud-native development.

• 8+ years of overall experience in data engineering or related roles.
• 5+ years of hands-on experience with Azure Data Factory and Databricks.
• Strong experience designing microservices and deploying them with Kubernetes.
• Advanced knowledge of Microsoft SQL Server and Oracle Database.
• Proficiency in Python and SQL (Java must )or (Scala is a plus).
• Hands-on experience with cloud platforms (preferably Azure).
• Experience with CI/CD pipelines, Git, and Docker.

Nice to Have

• Experience with Apache Spark, Kafka, Hadoop, or other big data technologies.
• Knowledge of data governance, security, and compliance standards.
• Relevant certifications (Azure, Databricks, Kubernetes, database technologies).

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder collaboration abilities.
• Ability to work independently and lead technical initiatives.
• Comfortable working in fast-paced, Agile environments.
• Continuous learner with a passion for modern data engineering practices.

Role Overview

We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions that enable data-driven decision-making. This role focuses on working with large-scale data platforms and cloud technologies, leveraging Azure Data Factory, Databricks, Kubernetes, and enterprise databases. You will play a key role in shaping and supporting a modern data platform using best practices in data engineering, microservices architecture, and cloud-native development.

,[Design, develop, and maintain scalable data pipelines using Azure Data Factory and Databricks., Build reusable, modular data integration solutions based on microservices architecture and Kubernetes., Automate data ingestion, transformation, and processing workflows., Manage and optimize Microsoft SQL Server and Oracle databases for performance and scalability., Develop complex SQL queries, stored procedures, and scripts., Deploy and operate containerized data services in cloud environments., Collaborate with DevOps teams to implement CI/CD pipelines for data solutions., Work closely with business stakeholders, data scientists, and analytics teams to translate data requirements into technical solutions., Monitor data pipelines, ensure data quality, and resolve operational issues., Create and maintain technical documentation and architecture diagrams. Requirements: Data, Azure Data Factory, Databricks, Microservices, MS SQL Server, Oracle database, Python, SQL, Java, Azure, CI/CD Pipelines, Git, Docker, Scala, Apache Spark, Kafka, Hadoop, Data governance, Security

Praca Poznań

Poznań - Oferty pracy w okolicznych lokalizacjach