6 of 6 Permanent Data Ingestion Jobs in the North West

Data Engineer - Hybrid (2 days a month) -Flexible Working G.Digital are looking for a Data Engineer to join a growing tech team and help shape innovative, data-driven solutions across multiple product markets. These guys a forward-thinking technology company with a strong track record in building cutting-edge digital products. Based in Cumbria with flexible hybrid … options, they combine the benefits of a close-knit team with the scope to innovate, learn, and deliver at scale. The Role As a Data Engineer , you’ll design and maintain robust, scalable pipelines, manage data ingestion and transformation, and ensure data is readily consumable by analysts, scientists, and stakeholders. You’ll also play a key … role in governance, security, and data visualisation initiatives. Key responsibilities include: Building and optimising ETL pipelines and data workflows. Ingesting and integrating datasets from multiple sources. Supporting data modelling and analytics initiatives. Applying security and governance best practices. Developing dashboards and visualisation tools for business stakeholders. About You I need someone who: Has strong skills in Python More ❯

machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data … Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages and libraries Proficient at communicating results in a concise manner More ❯

machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data … Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages and libraries Proficient at communicating results in a concise manner More ❯

with proven commercial experience to help us build the core infrastructure that shall power our entire platform. You ll be responsible for designing, developing, and maintaining secure, scalable APIs, data processing pipelines, and backend integrations with third-party services like Stripe, PayPal, and Open Banking providers. Key Responsibilities: Build and maintain robust RESTful APIs for mobile and web clients. … Design and manage databases built in MongoDB and SQL Server to store, query, and aggregate user financial data. Develop data ingestion pipelines to process real-time and batch data from external services. Optimize backend performance and ensure application scalability and resilience. Build authentication and authorization flows, following best practices for fintech-grade security. Write unit and integration … pipelines. Strong understanding of API design, versioning, and security (OAuth, JWT, API tokens). Comfortable working with Git, agile methodologies, and CI/CD practices. A good understanding of data protection, GDPR, and fintech security requirements. Nice to Have Exposure to event-driven architecture or message queues (e.g. Kafka). Experience integrating payment platforms like Stripe, PayPal, Plaid, or More ❯

with proven commercial experience to help us build the core infrastructure that shall power our entire platform. You’ll be responsible for designing, developing, and maintaining secure, scalable APIs, data processing pipelines, and backend integrations with third-party services like Stripe, PayPal, and Open Banking providers. Key Responsibilities: Build and maintain robust RESTful APIs for mobile and web clients. … Design and manage databases built in MongoDB and SQL Server to store, query, and aggregate user financial data. Develop data ingestion pipelines to process real-time and batch data from external services. Optimize backend performance and ensure application scalability and resilience. Build authentication and authorization flows, following best practices for fintech-grade security. Write unit and integration … pipelines. Strong understanding of API design, versioning, and security (OAuth, JWT, API tokens). Comfortable working with Git, agile methodologies, and CI/CD practices. A good understanding of data protection, GDPR, and fintech security requirements. Nice to Have Exposure to event-driven architecture or message queues (e.g. Kafka). Experience integrating payment platforms like Stripe, PayPal, Plaid, or More ❯

the smooth and efficient functioning and development of our databases and pipelines. You will be responsible for developing, optimising and managing these databases and ensuring a high-level of data quality and integrity. You will be defining the principles and processes that underpin data management while ensuring we maintain the highest standards for data management, security, privacy … are repeatable and scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy … integrity, and compliance with internal and external regulations. Collaborate with third-party suppliers, software developers, data analysts, DevOps, and other stakeholders to meet project requirements. Plan and implement database backups, restores, and disaster recovery strategies. Taking an active role in supporting and in finding the root cause of operational issues and preventing recurrences. Support the migration of databases and More ❯