Azure Data Solution Engineer Job at Microsoft Corporation (Toronto)

Principle Azure Data Solution Engineer

Are you curious, passionate about infrastructure, and ready to solve complex cha...

Location

Canada , Toronto

Salary:

128000.00 - 222400.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 6+ years technical pre-sales or technical consulting experience OR equivalent experience
Proficiency in designing and delivering modern, governed data platforms using Microsoft Fabric (OneLake, Lakehouse, DW, BI), Azure Databricks, Azure SQL and OSS databases, data engineering pipelines, and Purview
Solid technical foundation designing and modernizing Cloud & AI solutions on Azure
Ability to lead technical migration and modernization discussions
Experience influencing technical decision makers
Solid understanding of hybrid and cloud native architectures
Knowledge of Azure security and compliance principles
Hands on technical mindset
Proven collaboration skills
Commitment to continuous learning

Job Responsibility

Guide customers through data platform modernization decisions, balancing architecture, governance, cost, and performance considerations to enable AI‑ready and enterprise‑scale outcomes
Lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions
Drive technical sales by using technical demos, proof of concepts, technical architecture accelerator to influence solution design and enable deployments
Lead architecture sessions and technical workshops to accelerate Cloud & AI adoption
Build trusted relationships with platform leads to co-design secure, scalable solutions
Resolve technical blockers by collaborating with engineering and sharing customer insights
Represent Microsoft in customer forums and technical communities through thought leadership

What we offer

Opportunity to accelerate career growth
Deepen technical proficiency in architecture design, migration planning, and hybrid/cloud native solutions
Build strategic influence by shaping infrastructure, data, and application modernization decisions for AI driven business workloads
Develop future ready capabilities through continuous learning, certifications, and hands on experience with Microsoft Cloud & AI technologies

Fulltime

Solution Data Engineer – DG Infomatica Engineer

We are seeking a hands-on Informatica Developer with strong experience in data q...

Location

United States of America , TEMPE

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

3–5+ years of hands-on experience as an Informatica Developer or Data Quality Engineer
Strong experience with Informatica IDMC, including: Cloud Data Quality (CDQ)
Cloud Data Catalog (EDC/CDGC)
Experience implementing data quality validation rules, monitoring, and reporting
Hands-on experience with Snowflake and Databricks
Experience working in Azure cloud environments (AWS exposure is a plus)
Strong SQL skills and understanding of data warehousing and data modeling concepts
Experience working with on-prem and cloud data sources
Experience configuring Informatica Secure Agents and cloud connectivity
Familiarity with REST APIs and system integrations

Job Responsibility

Design, develop, and maintain data quality rules, scorecards, and dashboards using Informatica CDQ
Implement and support metadata ingestion, cataloging, and lineage using Informatica Cloud Data Catalog (EDC/CDGC)
Onboard application and data source metadata in collaboration with application owners and data engineering teams
Configure and maintain technical and business assets, custom attributes, and custom lineage within the Informatica catalog
Extract and publish metadata from cloud and on-prem data sources to support enterprise metadata management
Support data lineage and impact analysis across Snowflake, Databricks, and relational databases
Configure and manage Informatica Cloud environments, including Secure Agents and connectivity
Integrate Informatica with cloud platforms and external systems using REST APIs
Partner with data engineering and analytics teams to ensure high-quality, well-governed datasets are available for reporting and AI/ML use cases

New

Data Engineer – Azure Cloud Infrastructure

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Proven experience with Azure data services such as Data Factory, Synapse, and Key Vault
Proficiency in Infrastructure as Code tools like Terraform, ARM, or Bicep
Hands-on experience with CI/CD tools, preferably Azure DevOps
Experience with MSSQL and Databricks
Understanding of data modelling and data warehouse concepts
Experience in financial or regulatory reporting environments
Relevant certifications such as Azure DevOps Engineer or Azure Data Engineer
Experience with cloud migration or hybrid cloud setups

Job Responsibility

Design and deliver end-to-end data pipelines for reporting and analytics
Develop and manage Azure infrastructure using Infrastructure as Code (Terraform, ARM, Bicep)
Build and maintain CI/CD pipelines for infrastructure and data deployments
Collaborate with engineers and business stakeholders to ensure secure, compliant solutions
Automate monitoring, testing, and deployment processes to improve operational reliability

New

Azure Data Engineer

We are looking for a highly skilled and experienced Azure Data Engineer with sig...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Technology, Computer Science, or related field
3+ years of experience in data engineering with hands-on exposure to Azure (Azure Data Factory, Azure Data Lake Storage, Fabric)
Proven experience designing and building production-grade data pipelines that handle large volumes of data reliably
Strong SQL skills and experience with data modelling, schema design, and query optimization
Hands-on experience with Databricks (PySpark / Spark SQL) for large-scale data transformation
Working proficiency in Python
Understanding of data warehouse and lakehouse concepts
Ability to manage your own tasks within a defined sprint scope and deliver consistently
Good communication skills - able to translate technical concepts for business stakeholders and vice versa
Excellent problem-solving and debugging skills

Job Responsibility

Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory, ensuring reliability and performance at terabyte scale
Contribute to end-to-end pipeline health: monitoring, alerting, incident response, and continuous improvement
Identify and resolve bottlenecks across ingestion, transformation, and serving layers
Implement and extend existing medallion architecture patterns
Develop data ingestion processes from multiple sources, ensuring accuracy, completeness, and consistency
Support the migration from SAP BW, ensuring data continuity and quality throughout
Ensure data integrity and availability through appropriate storage solutions, partitioning strategies, and access controls
Work independently on clearly scoped tasks, communicating progress and blockers regularly with your team
Collaborate with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions
Participate in agile ceremonies, contribute to sprint planning, and own your backlog items end-to-end

Fulltime

Data Engineer (Azure Focus)

About Blue Ridge Care At Blue Ridge Care, we deliver extraordinary care to impro...

Location

United States , Winchester

Salary:

85000.00 - 110000.00 USD / Year

Blue Ridge Hospice

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data analytics, information systems, or related field preferred (or equivalent experience)
1–2 years of experience in data engineering, BI, analytics engineering, or similar role
Foundational experience with Microsoft Azure and strong desire to grow in Azure technologies
Working knowledge of SQL and data pipeline concepts (ETL/ELT)
Experience supporting or troubleshooting data processes or pipelines
Understanding of relational databases, structured data, and validation techniques
Strong problem-solving, documentation, and communication skills
Ability to collaborate with both technical and non-technical stakeholders

Job Responsibility

Support the buildout and stabilization of Blue Ridge Care’s Azure-based data platform
Assist in developing, testing, and maintaining scalable data pipelines
Help expand the platform to meet growing reporting and analytics needs
Learn system architecture to support long-term internal ownership
Integrate data from various systems including databases, files, and APIs
Apply ETL/ELT concepts to transform data into standardized, usable formats
Support enhancements to data models and reporting structures
Assist with new data pipeline development and system integrations
Perform data validation and quality checks to ensure reliability and accuracy
Identify and troubleshoot data issues across systems and pipelines

What we offer

Competitive Pay
Flexible Work Arrangements
PTO & Paid Volunteer Time
Comprehensive Health Benefits
Tuition Reimbursement & Professional Development
Collaborative, mission-driven culture
Growth opportunities aligned with our 2030 Strategic Plan

Fulltime

Senior Software Engineer - Azure Data Engineering Team

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

Canada , Vancouver

Salary:

114400.00 - 203900.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Drive the design and implementation of complex, large-scale distributed systems by producing technical designs, proof-of-concepts, and prototype solutions from ambiguous or high-level requirements
Own end-to-end delivery of key system components, including design tradeoffs, implementation, testing strategy, deployment, and long-term operability
Continuously improve system performance, scalability, and resilience by identifying architectural gaps, leading refactoring efforts, and addressing systemic technical debt
Define and apply metrics, best practices, and quality bars to ensure long-term service stability, operational excellence, and strong return on engineering investment
Lead code reviews and design discussions, setting technical direction and mentoring engineers to improve overall code quality and system design maturity
Collaborate across teams and organizations to align designs, influence dependencies, and deliver solutions that scale across Azure
Build and evolve the core messaging infrastructure that underpins hundreds of thousands of Azure applications, supporting critical platform capabilities such as eventing, asynchronous workflows, telemetry, and diagnostics
Embody our culture and values

Fulltime

Azure Data Engineer

Location

United States , Shrewsbury

Salary:

Not provided

Ventois

Expiration Date

Until further notice

Requirements

Bachelor's degree or its equivalent in computer science, computer information systems, information technology, or a combination of education and experience equating to the U.S. equivalent of a bachelor's degree in one of the aforementioned subjects
Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
Identify business problems and management objectives that can be addressed through data analysis
translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
identify relationships, trends, and factors that could affect the results of analysis
Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
recommend data-driven improvements
Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes

Job Responsibility

Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
Identify business problems and management objectives that can be addressed through data analysis
translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
identify relationships, trends, and factors that could affect the results of analysis
Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
recommend data-driven improvements
Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes
implement data quality frameworks including validation rules, cleansing, and reconciliation techniques to ensure accuracy and consistency

Fulltime

Azure Data Engineer

We are currently seeking a Azure Data Engineer to join our team in Bangalore, Ka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
5+ years of demonstrated production experience in core data platforms such as Databricks and Azure related data services
5+ years of expertise in SQL and Python (Spark) as data manipulation languages
5+ years of hands-on knowledge of Cloud and Distributed Data Storage, including ADLS
5+ years of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Azure DataFactory, Azure Synapse, and Databricks
Showcase professional written and verbal communication skills to effectively convey complex technical concepts
Undergraduate or Graduate degree preferred

Job Responsibility

Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack
Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure
Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
Adhere to Agile practices throughout the solution development process
Design, build, and deploy databases, data pipelines and data stores to support organizational requirements

Select Country

Azure Data Solution Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?