Senior Data Engineer, 6-month contract

gravity9

. Work in Agile teams to deliver the committed backlog against acceptance criteria .

Posted 11/2/2026contractRemote • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data engineering solutions using Azure technologies, including Azure Databricks and Azure Data Factory, while ensuring data governance and security. Proven ability to mentor team members and lead Agile projects to deliver high-quality data platforms and AI-enabled solutions.

Highest-signal resume keywords

Azure DatabricksPythonETL/ELT DevelopmentData GovernanceAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPySparkDimensional Data ModellingLakehouse Data ModellingCI/CDInfrastructure-as-CodeData IntegrationData QualityAI-Assisted Development

Soft Skills

MentoringCommunicationSelf-StarterOrganizational Skills

Tools & Technologies

Azure Data FactoryAzure SQLAzure Data Lake StorageTerraformBicepAzure DevOpsGitHubUnity CatalogDelta LakeAzure AI Services

Industry Keywords

AgileKanbanData Governance ConceptsData QualityData CataloguingData LineageMaster DataStewardship

Tech Stack

Tools & technologies

AzureETLPySparkPythonSparkSQLTerraformUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Fully remote position
6-month contract