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.
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.
As a Senior Principal Data Engineer, you will design and deliver data services and pipelines while collaborating with cross-functional teams. You'll provide leadership to junior engineers and ensure compliance with data governance best practices, all while utilizing tools like Python, Spark, and Azure.
As a Staff Data Engineer at DailyPay, you'll design and maintain ETL/ELT infrastructure, optimize data pipelines, implement data testing capabilities, and help architect the data lakehouse. Your role focuses on building robust distributed data platforms and ensuring efficient data governance and security best practices.
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.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
The Data Engineer will develop and manage a new Data Platform for Escode, focusing on building data pipelines, ensuring data quality and integrity, and collaborating with stakeholders to drive data-driven outcomes. This role requires innovative thinking to adapt the platform for future enhancements and operational data utilization.
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 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.
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.
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