Top Data Engineer Jobs in Manchester
As a Data Engineer II, you will build and maintain ETL and data pipelines, produce and support data reports and dashboards, design data testing and optimization capabilities, and improve the performance of the data infrastructure. You'll collaborate on analytics engineering efforts and maintain monitoring and alerting systems.
Data Engineer role at Octaive involving designing, architecting, implementing, and supporting data systems, analytics dashboards, and data retrieval tools. Analyzing and enhancing data quality, working with stakeholders to develop insights, and devising data governance strategies.
The Data Engineer/Senior Data Engineer at Inizio will support the building of AI capabilities, develop scalable data pipelines, design data architecture, maintain CI/CD infrastructure, and ensure data quality. The role requires collaboration with data scientists and other stakeholders, while also monitoring data system performance and integrating engineering platforms.
As a Principal Data Engineer at Aker Systems, you will develop a secure data platform for a government client, involving data pipeline coding, logical and physical database design, and ensuring data models align with architecture. You will also conduct data analysis and identify enhancements for data processing challenges.
As a Data Engineer at Methods Analytics, you'll develop and implement data solutions using platforms like Azure and PowerBI while ensuring data quality and integrity. You'll collaborate with cross-functional teams, design ETL/ELT pipelines, and create data models to support strategic decisions.
As a Sr. Data Engineer at Pismo, you will be responsible for the operation and monitoring of file and event systems, ensuring they meet SLAs, and participate in designing high-complexity features. You will enhance data platform architecture, optimize operational efficiency, and collaborate with internal and external teams.
As a Data Engineer at BJSS, you will build, optimize, and maintain data applications and systems. This role requires deploying data pipelines and processes, using cloud technologies, and ensuring best practices in software engineering and DataOps methodologies.
The Junior Data Engineer will gather requirements, support data management tasks, ensure data integrity, and automate processes for high-quality data delivery while maintaining documentation and generating reports.
The Data Engineer will build scalable data pipelines and design data architecture, including schemas. Responsibilities include developing CI/CD infrastructure, maintaining data APIs, and supporting AI components. The role demands collaboration with stakeholders and requires knowledge in data technologies and performance optimization.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
The Data Engineer will design and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dashboards with Superset, and develop data pipelines with Airflow for integration and automation. Requires 3+ years of experience and expertise in relevant technologies.
Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.
As a Data Engineer, you will design, develop, and maintain data pipelines and infrastructure on AWS, ensuring data quality and reliability. Responsibilities include collaborating with business analysts, troubleshooting production issues, and suggesting improvements for the data platform.
The Senior Data Engineer will build production-quality models and write microservices for large-scale data wrangling, utilizing DBT and Python. Candidates will work with AWS and collaborate on data pipelines, mentoring junior members while participating in a dynamic team environment.
As a Lead Data Engineer at Aker Systems, you will develop, test, and document data pipelines, refine database designs, and enhance data platform capabilities. Your role involves data analysis, ensuring data models align with architecture, and performing root cause analysis for data issues to identify improvement opportunities.
The Senior Data Engineer will lead the data engineering function, work on a modern data platform, and create data-as-product solutions. Responsibilities include assembling complex data sets, building ETL infrastructure, maintaining the Data Warehouse platform, and ensuring the platform adheres to financial models. The role requires strong leadership in coaching and mentoring along with effective communication skills.
The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Data Engineer, you will design and develop data processing software for large-scale solutions, ensuring software supports user needs and non-functional requirements while mentoring team members and maintaining high code quality.
As a Lead Data Engineer at Kainos, you will design and develop data processing software, lead agile teams, enforce best practices, and ensure operational readiness of applications while managing and coaching team members.
As a Senior Data Engineer, you will be responsible for building data products and pipelines, working closely with clients. You will lead projects, apply engineering solutions, and contribute to internal engineering communities while working on various tech stacks and domains.
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