This role involves designing and building analytics-ready data models, enabling self-service reporting, and delivering trusted datasets to support strategic business decisions. You will work closely with stakeholders to translate business requirements into robust data solutions, using SQL and cloud data platforms like GCP/BigQuery.
As an Analytics Engineer, you will develop and maintain data pipelines using Python, design dimensional data models in a cloud data platform like Snowflake, and partner with BI teams to deliver actionable insights. You'll work closely with cross-functional teams to drive data-led decision making and optimize the performance and reliability of the data platform.
This role involves building and maintaining data pipelines using Python, designing dimensional data models in Snowflake, and delivering high-quality datasets for Power BI reporting. You will work closely with business stakeholders to translate requirements into scalable data solutions and optimize the data platform's performance and cost efficiency.
This role involves designing and maintaining scalable data pipelines, integrating data from various business systems, and developing robust data models. You will work closely with stakeholders to translate requirements into usable data assets and support the growth of the data function.
The Analytics Engineer will design and maintain Power BI reports, support the implementation of Snowflake, and manipulate large datasets to provide actionable insights. They will collaborate with cross-functional teams to understand and meet their analytical needs, using SQL and Python to enhance data processing and reporting.
The Energy Analytics Engineer will design and maintain data pipelines using Azure-based tools, automate data ingestion from APIs, and support reporting and analytics for energy and sustainability initiatives. The role involves close collaboration with cross-functional teams to deliver robust data models, ensure data quality, and enable data-driven decision-making. A key focus is on enabling carbon reporting and driving digital solutions that support Veolia’s ecological transformation goals.
The Senior Analytics Engineer will design and maintain cloud-based data platforms using Azure technologies, focusing on ETL/ELT workflows, data warehousing, and analytics solutions. This role involves close collaboration with business and technical teams to translate requirements into scalable data architectures, ensure data quality, and support regulatory compliance. The position requires strong expertise in SQL, Azure Data Factory, Fabric, and CI/CD automation, with an emphasis on documentation, performance tuning, and secure data practices.
This role involves designing and maintaining data transformations, building scalable data products, and enabling reliable analytics through close collaboration with analysts and business stakeholders. The engineer will work extensively with SQL, cloud data platforms, and dbt to create trusted datasets that power business intelligence and decision-making. Emphasis is placed on best practices in analytics engineering, data modelling, and automation within a mature data environment.
We're recruiting a Data Engineer to join an organisation that's modernising its enterprise data platform and preparing for the next generation of analytics and AI driven solutions.Working Pattern: 3 days per week in the officeYou will be responsible for shaping...
Lead the delivery of data platform and analytics programmes, managing technical roadmaps, cross-functional teams, and modern data stack technologies including Snowflake, dbt, and Airflow. Focus on architecture, SDLC governance, and stakeholder collaboration in a hybrid environment.
The role involves designing and maintaining cloud-based data platforms using Azure technologies, with a focus on ETL/ELT workflows, data warehousing, and ensuring data quality and scalability. The engineer will collaborate with cross-functional teams to translate business needs into technical solutions, automate CI/CD pipelines, and support regulatory-compliant reporting. Work includes Python scripting, Power BI integration, and modernising legacy systems in an Agile environment.
Senior Data Engineer Microsoft Fabric Azure dataThis is a new and exclusive opportunity for a Senior Data Engineer with strengths in Microsoft Azure data to be a key lead in strengthening, evolving, and modernising our core data platforms.Job detailsTitle: Senior...
The Data Engineer will design and build a modern, cloud-first data platform from the ground up, migrating from legacy on-premise systems to a scalable cloud architecture using tools like BigQuery and Airbyte. The role involves refactoring complex T-SQL into cloud workflows, implementing CI/CD and version control with Git, and creating robust data pipelines to support analytics and future AI/ML initiatives. This is a high-ownership role shaping the foundation of Liquidline’s data strategy.
This role involves building and maintaining a Python codebase and data pipelines, developing REST APIs, and creating internal tools for data ingestion, validation, and reporting. You will work closely with a senior engineer to solve real business problems and contribute to the growth of the company's internal data platform.
Job Title: Data EngineerLocation: Liverpool, UKSalary: £65,000 - £70,000 per annum, depending on experienceJob Type: Permanent, Full TimeWorking Hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pmWe are seeking a talented and experienced Data Engineer to join our...
