Find Your Next Analytics Engineering Job

A curated list of analytics engineering job openings with details intelligently extracted by AI.

Filtering by tech: Azure
Clear Filter
  • Data modeling
  • Data architecture
  • ETL processes
  • Data warehousing solutions
  • Collaboration with stakeholders
Posted Aug 16, 2025
0
0
  • Cloud infrastructure
  • Automation
  • Security vulnerability management
  • Incident response
  • Disaster recovery
Posted Aug 16, 2025
0
0
  • Develop and maintain data pipelines to support analytical needs.
  • Collaborate with product and engineering teams to integrate data solutions.
  • Apply data governance standards and ensure data quality.
  • Contribute to the design and implementation of data models.
  • Use analytical and data visualisation tools to provide insights.
Posted Aug 15, 2025
0
0
  • Data analysis and interpretation
  • ETL processes
  • Data visualization and reporting
  • Data quality and governance
  • Collaboration with stakeholders
Posted Aug 15, 2025
0
0
  • Data Analysis and Interpretation
  • Data Modeling and Pipeline Development
  • Collaboration with Cross-Functional Teams
  • Data Quality and Integrity
  • Business Intelligence and Reporting
Posted Aug 13, 2025
0
0
  • Develop and deliver data and analytics solutions to business problems.
  • Collaborate with multi-functional teams to gather requirements and translate them into technical specifications.
  • Design, develop, and maintain data pipelines and data models.
  • Apply data quality and validation techniques to ensure data accuracy and reliability.
Posted Aug 13, 2025
0
0
  • ETL processes and data pipelines
  • Data analysis and problem-solving
  • Collaboration with stakeholders
  • Data quality and governance
  • Mentoring junior analysts
Posted Aug 13, 2025
0
0
  • Advise our clients in the financial services industry on how to leverage data to gain a competitive edge.
  • Support clients in defining their data and analytics strategy, designing their future data architecture, and implementing data solutions.
  • Work with modern data technologies in the cloud (AWS, Azure, GCP) and on-premise.
  • Develop data models, ETL pipelines, and data visualizations.
  • Take responsibility for project modules and workstreams, and manage junior consultants.
Posted Aug 7, 2025
0
0
  • Data Analysis
  • Data Visualization
  • Consulting with business partners
  • Data pipeline development
  • Data modeling
Posted Aug 6, 2025
0
0
  • Data Analysis
  • Data Visualization
  • Data Modeling
  • Requirements Gathering
  • Agile Development
Posted Aug 6, 2025
0
0
  • Develop and maintain data pipelines to ingest, process, and transform large datasets from various sources.
  • Design and implement data models and schemas to support analytical and reporting requirements.
  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver effective solutions.
  • Implement data quality monitoring and validation processes to ensure data accuracy and reliability.
  • Optimize data infrastructure for performance, scalability, and cost-efficiency.
Posted Aug 6, 2025
0
0
  • Build data models and pipelines to support business needs.
  • Collaborate with product managers, data scientists, and other stakeholders to understand data requirements.
  • Design, develop, and maintain scalable data solutions.
  • Optimize data pipelines for performance and reliability.
  • Ensure data quality and accuracy.
Posted Aug 6, 2025
0
0
  • Develop and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
  • Build and maintain data models that are scalable, reliable, and optimized for performance.
  • Collaborate with data scientists, analysts, and product managers to understand their data needs and provide solutions that meet those needs.
  • Implement data quality monitoring and alerting to ensure data accuracy and reliability.
  • Design and implement data governance policies and procedures to ensure data security and compliance.
Posted Aug 6, 2025
0
0
  • Build and maintain data pipelines and ETL processes
  • Develop data models and schemas
  • Collaborate with cross-functional teams
  • Ensure data quality and accuracy
  • Design and implement data solutions
Posted Aug 6, 2025
0
0
  • Lead a team of data and analytics engineers
  • Drive data strategy and governance
  • Build and maintain data pipelines
  • Implement data quality and security measures
Posted Aug 6, 2025
0
0
  • Data analysis and modeling to solve business problems
  • Translate business needs into analytical questions and build end-to-end analytical solutions
  • Communicate findings and recommendations to stakeholders
  • Develop and maintain data pipelines and infrastructure
Posted Aug 1, 2025
0
0
  • Data Architecture
  • Data Modeling
  • ETL/ELT Development
  • Cloud Data Platform Implementation
  • Data Governance
Posted Aug 1, 2025
0
0
  • Develop and maintain data pipelines.
  • Build data models and ETL processes.
  • Design and implement data analytics solutions.
  • Collaborate with stakeholders to understand data needs.
  • Ensure data quality and accuracy.
Posted Aug 1, 2025
0
0
  • Develop and maintain data pipelines.
  • Build data models and schemas in cloud data warehouse.
  • Collaborate with other teams to understand data needs.
  • Monitor and troubleshoot data pipeline performance.
  • Implement data quality checks and monitoring.
Posted Jul 30, 2025
0
0
  • Develop and maintain data pipelines and ETL processes.
  • Design and implement data models and data warehouses.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Ensure data quality and accuracy through data validation and testing.
  • Utilize cloud-based data platforms and services.
Posted Jul 30, 2025
0
0
  • Develop and maintain data pipelines and ETL processes.
  • Design, develop, and maintain data models.
  • Collaborate with business users to gather requirements and translate them into technical specifications.
  • Perform data analysis and quality assurance to ensure data accuracy and integrity.
  • Develop and maintain documentation for data processes and systems.
Posted Jul 29, 2025
0
0
  • Design, develop, and maintain data pipelines and ETL workflows to ingest, transform, and load data from various sources into our data warehouse.
  • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and translate them into technical solutions.
  • Build and maintain data models and data dictionaries to ensure data consistency and quality.
  • Develop and maintain data quality monitoring and alerting systems to identify and resolve data issues.
  • Stay up-to-date with the latest trends and technologies in data engineering and advanced analytics.
Posted Jul 28, 2025
0
0
  • Develop and maintain data pipelines.
  • Design and implement data models.
  • Collaborate with stakeholders to understand data needs.
  • Ensure data quality and accuracy.
  • Automate data processes.
Posted Jul 27, 2025
0
0
  • Develop and maintain data pipelines using tools like dbt and Python.
  • Design and build data models in cloud data warehouses such as Snowflake.
  • Collaborate with stakeholders to gather requirements and translate them into technical solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
Posted Jul 25, 2025
0
0
  • Develop and maintain data models and pipelines to enable data-driven decision-making.
  • Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
  • Build and maintain data documentation, data dictionaries, and data lineage to ensure data quality and accessibility.
  • Optimize data pipelines and data models for performance, scalability, and reliability.
Posted Jul 24, 2025
0
0
  • Build data pipelines to ingest data from various sources into the cloud data warehouse.
  • Develop data models and transformations using dbt to support business requirements.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Optimize data pipelines and queries for performance and scalability.
Posted Jul 24, 2025
0
0
  • Design, build, and maintain data pipelines using Python, SQL, and Airflow.
  • Develop data models and schemas in Snowflake.
  • Collaborate with data scientists and business analysts to understand data requirements.
  • Implement data quality checks and monitoring.
  • Optimize data pipelines for performance and scalability.
Posted Jul 23, 2025
0
0
  • Develop and maintain data pipelines for pricing optimization.
  • Collaborate with data scientists and business stakeholders.
  • Ensure data quality and reliability.
  • Apply analytics to improve pricing strategies.
Posted Jul 23, 2025
0
0
  • Data lake ecosystem design and implementation
  • Data governance and security
  • ETL pipeline development and maintenance
  • Collaboration with stakeholders to understand data needs
  • Performance optimization of data systems
Posted Jul 23, 2025
0
0
  • Data collection, integration, and modeling from manufacturing operations data sources
  • Develop and maintain data pipelines using cloud-based data engineering tools
  • Collaborate with cross-functional teams to define data requirements and deliver data-driven solutions
  • Develop data visualizations and dashboards to monitor key performance indicators (KPIs) and identify areas for improvement
  • Ensure data quality and accuracy through data validation and testing
Posted Jul 23, 2025
0
0
  • Design, develop, and maintain data pipelines using cloud-based technologies to support data transformation, data structures, metadata, dependency and workload management.
  • Develop and implement data models, schemas, and ETL processes to support data warehousing and business intelligence needs.
  • Ensure data quality and integrity by implementing data validation rules, monitoring data pipelines, and resolving data issues.
  • Collaborate with cross-functional teams to understand data requirements and provide data solutions that meet business needs.
  • Stay current with emerging data technologies and trends and make recommendations for new technologies and approaches to improve data management and analytics.
Posted Jul 22, 2025
0
0
  • Data analysis and problem-solving
  • Data visualization and presentation
  • Collaboration with cross-functional teams
  • Data manipulation and transformation
  • Data quality and governance
Posted Jul 22, 2025
0
0
  • Data Pipelines: Design, develop, and maintain robust data pipelines.
  • Data Modeling: Create and optimize data models.
  • Stakeholder Collaboration: Work closely with stakeholders to understand their requirements.
  • BI Solutions: Develop insightful BI solutions and reporting dashboards.
  • Data Quality: Ensure data accuracy and reliability.
Posted Jul 22, 2025
0
0
  • Develop and maintain data pipelines and ETL processes.
  • Collaborate with business partners to understand data requirements.
  • Design and implement data models and reporting solutions.
  • Ensure data quality and accuracy.
  • Utilize analytical and data visualization tools
Posted Jul 22, 2025
0
0
  • Design, develop, and maintain scalable data pipelines using Snowflake, dbt, and Python.
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
  • Build and maintain data models and transformations to support business intelligence and analytics.
  • Monitor data quality and performance, identifying and resolving issues proactively.
  • Contribute to the development of data engineering best practices and standards.
Posted Jul 21, 2025
0
0
  • Develop, implement, and maintain data pipelines using various tools and technologies.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Apply data mining and machine learning techniques to extract insights and develop predictive models.
  • Ensure data quality and integrity by implementing data validation and monitoring processes.
Posted Jul 21, 2025
0
0