Data Engineer

Cencora

. Design, build, support and maintain scalable, secure data pipelines and integrations across the organisation's data estate .

Posted 10/9/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and integrations, with strong proficiency in Snowflake, Power BI, and Azure Synapse Analytics. Capable of applying data governance, security, and compliance principles while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data EngineeringSnowflakePower BIETL/ELT PipelinesSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingDAXData IntegrationDimensional ModellingStar SchemasCloud PlatformsAzure Synapse AnalyticsData QualityData SecurityAI-Assisted Tooling

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

AzureAWSGCPGitHub CopilotClaude

Certifications & Qualifications

Cloud FundamentalsData Engineering

Industry Keywords

Data GovernanceData WarehousingBusiness IntelligenceGxPGCPTMF

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Design, build, support and maintain scalable, secure data pipelines and integrations across the organisation's data estate
Develop and maintain data models, ETL/ELT pipelines and analytics solutions using Azure Synapse Analytics, Snowflake, Power BI and related tooling
Own the quality, performance and ongoing support of delivered data solutions, including legacy data integrations
Champion responsible use of AI-assisted tooling such as GitHub Copilot and Claude to improve delivery speed, quality and efficiency
Collaborate with Development, Cloud and Security engineering teams to deliver secure and reliable data solutions
Troubleshoot and resolve complex data quality, performance and integration issues across modern and legacy platforms
Maintain existing legacy integrations and plan their modernisation where appropriate
Build and maintain Power BI dashboards, reports and self-service analytics for business stakeholders
Translate business data and reporting requirements into technical solutions
Apply security, governance, privacy and compliance requirements to data solutions
Contribute to data architecture, standards and best practices
Estimate time and effort for data engineering tasks and projects
Partner with Cloud and Development teams to scale data platforms within cloud infrastructure
Take on additional reasonable tasks aligned with abilities when required

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field, or equivalent professional experience
5+ years of experience in data engineering, data warehousing or business intelligence roles
Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform
Strong hands-on experience with Power BI, including data modelling, DAX and report/dashboard development
Experience building and maintaining ETL/ELT pipelines and data integrations, including legacy systems
Practical experience using AI-assisted tooling such as GitHub Copilot and Claude
Strong SQL skills and experience with data modelling, dimensional modelling and star schemas
Experience with cloud platforms such as Azure, AWS or GCP and cloud-native data services
Understanding of data governance, data quality and data security principles
Experience working closely with Development, Cloud and Security engineering teams in a cross-functional environment
Experience with Azure Synapse Analytics is desirable
GxP, GCP and/or TMF knowledge preferred but not mandatory
Strong problem-solving and complex data issue diagnosis skills
Strong communication skills and ability to translate technical data concepts for non-technical stakeholders
Fluent oral and written communication
Strong working knowledge of data tooling and platforms, including Snowflake and Power BI
Bachelor's degree in computer science, data engineering, information systems, software engineering or a related field, or equivalent experience required
2+ years of experience in data engineering involving ingestion, transformation, modeling and pipeline operations across multiple data sources or a related field
Certifications in cloud fundamentals or data engineering preferred

Benefits

Comp & perks

Full-time employment
Benefit offerings aligned to local market practice; eligibility and effective dates may vary by country and collective bargaining coverage
Reasonable accommodations during the employment process