Senior Data Engineer, 6-month contract

Job not on LinkedIn

🔥 12 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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gravity9

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

gravity9 is a digital transformation company specialized in modernizing legacy systems by leveraging cutting-edge technologies such as AI, cloud computing, and microservices architecture. They offer solutions to propel organizations into the digital age, enhancing agility, scalability, and competitive advantage. gravity9's approach involves integrating innovative engineering practices to streamline operations, reduce technical debt, and future-proof digital infrastructures. They focus on strategic modernization that not only overcomes legacy constraints but also empowers businesses to thrive in today's dynamic market environment.

📋 Description

• Work in Agile teams to deliver the committed backlog against acceptance criteria • Design, build, and operate ingestion and orchestration pipelines in Azure Data Factory • Develop ETL/ELT in Azure Databricks using a medallion architecture for analytics, reporting, and AI • Lead code reviews and set engineering standards • Participate in estimating, planning, testing, deployments, and documentation • Shape data architecture decisions, including metric definitions, semantic models, and data serving AI agents • Apply data governance, security, and access controls according to client classification and residency requirements • Use AI-assisted development tools responsibly to accelerate delivery without compromising quality or security • Communicate progress, open items, and issues to stakeholders, including management • Stay current with relevant technology developments • Deliver robust data platforms and AI-enabled solutions on Microsoft Azure supporting decision-making, autonomous execution, and integrated operations • Mentor team members and lead by doing

🎯 Requirements

• 7+ years’ experience in data engineering or software development • 3+ years hands-on with Azure Databricks or Spark • Experience actively mentoring junior team members • Expert-level Python and PySpark, and SQL • Experience with Azure Data Factory, Azure Databricks, Delta Lake, Workflows, Unity Catalog, Azure Data Lake Storage, and Azure SQL • Experience with dimensional and lakehouse data modelling • Experience integrating data via APIs, OData, JDBC/ODBC, and files • Experience with Azure AI services, including Azure AI Foundry and Azure OpenAI, and preparing data for AI agents • Experience with secure CI/CD and infrastructure-as-code using tools such as Terraform, Bicep, or Databricks Asset Bundles • Experience across DEV, UAT, and PROD using Azure DevOps or GitHub, with sound Git branching practices • Experience with AI-assisted development and reviewing generated code • Knowledge of data quality, testing, security, and privacy in regulated or restricted-data environments • Experience designing end-to-end data solutions and recommending frameworks and technologies • Experience with Agile and Kanban delivery in mixed-discipline teams • Self-starter, organized, and able to work with minimal supervision • Bachelor’s degree in computer science, Engineering, or a related field, or equivalent education and experience • Nice to have: experience integrating enterprise systems • Nice to have: data management and governance concepts, including data quality, cataloguing, lineage, master data, and stewardship

🏖️ Benefits

• Fully remote position • 6-month contract

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