26 to 43 of 43 Data Pipeline Jobs in the North West

Role: Analytics and AI Manager The Team: A highly passionate bunch, our data, analytics and AI team bring our unique software solutions to life. Our mission is to empower our customers and internal stakeholders to improve business performance and minimise risk by providing them with clean, reliable data and analytical models. We are with them to … help protect their information, make informed decisions, deliver a personalised service and automate their workloads. Our engineers might be building data pipelines, modelling data, developing predictive models or automations for repeatable tasks or creation of data products. The role: Your role in the division is to lead the development of our MI, BI and … AI capabilities, exploiting our data warehouse to replace legacy reporting and create new BI and AI products for both internal and external customers. Your initial objectives will be to understand our business data and existing solutions and to define a roadmap for moving these into our Power BI cloud service. You will also work with other More ❯

Data Scientist (Hybrid | Manchester) A forward-thinking data company, known for delivering actionable insights across media and market research, is on the lookout for a Data Scientist. This role is ideal for someone who thrives in autonomy, enjoys working across teams, and wants to play a key part in building scalable, standardised systems that … ensure data reliability across multiple products. ?? The Opportunity: Join a product and data-driven company that works with top global brands Lead the development of systems to monitor data integrity, health, and performance Own projects end-to-end from defining the problem to deploying production-ready solutions Hybrid role: Split your time between our … Manchester office (Trafford Park) and remote working, with flexibility built in ?? What You'll Be Doing: Design and implement scalable monitoring and alerting solutions across data pipelines Define critical metrics and thresholds in collaboration with technical and non-technical teams Build and deploy models using Python, PySpark, and AWS services Troubleshoot data anomalies and promote best More ❯

Skills/requirements Deploy comprehensive cloud infrastructure for various products, including Astronomer Airflow and AccelData environments. Facilitate cross-functional integration between vendor products and other systems, such as data lakes, storage, and compute services. Establish best practices for cloud security, scalability, and performance. Manage and configure vendor product deployments, ensuring the setup and maintenance of environments. Ensure high … planning, resource allocation, and optimization of Airflow workers. Maintain and configure integrations with source control systems (e.g., GitHub, GitLab) for version control. Collaborate with cloud providers (e.g., AWS) for pipeline integration and scaling requirements. Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Develop infrastructure … using AWS and SQL technologies. Work with stakeholders, including design, product, and executive teams, to address platform-related technical issues. Build analytical tools to leverage the data pipeline, providing actionable insights into key business performance metrics, such as operational efficiency and customer acquisition.? All profiles will be reviewed against the required skills and experience. Due to the More ❯

Data Engineer - Award-Winning AI SaaS platform We're partnered with a pioneering SaaS company that's transforming their industry through cutting-edge AI and data technology. With a multi-award-winning platform and a client base that includes global household names, this is a rare opportunity to join a high-growth tech business that blends … startup agility with enterprise stability. We're looking for a passionate Data Engineer who is experienced with AI tooling - including building Gen AI agents in-product - to join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems … office if you prefer Exceptional Benefits : From unlimited holiday and private healthcare to stock options and paid parental leave. What You'll Be Doing: Build and maintain scalable data pipelines using Spark with Scala and Java, and support tooling in Python Design low-latency APIs and asynchronous processes for high-volume data. Collaborate with Data Science More ❯

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 … 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 More ❯

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 … 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 More ❯

A fantastic opportunity has arisen for a person to join a department to assist with the delivery of innovative generative AI data solutions. This role performs the duties of a Data Engineer specialising in generative AI and reports to the senior lead within a developing international and transversal structure. Key Responsibilities: Evaluate, design, deploy, improve and … support data sets for internal customers, ensuring resilience, security and responsiveness. Collaborate with internal stakeholders to optimise and secure their data in line with operational needs. Maintain and enhance data pipelines, ensuring compliance with data governance standards. Provide expertise in data management and quality assurance. Stay up to date with … the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative More ❯

Data Engineer – Manchester (Hybrid) Up to £55K to £65,000 + Bonus, 10% pension, 25+ Days HolidayPyspark | Databricks | SQL Shape the future of travel with data. Join a tech-led company that’s reimagining how millions experience travel. This is your chance to work on high-impact data projects that drive smarter decisions across product, operations … and commercial teams — all while growing your skills in a modern, cloud-first environment. Why This Role Stands Out: You’ll build scalable, production-grade data pipelines using PySpark , SQL , and Databricks Your work will directly power analytics, BI, and data science across the business You’ll be part of a collaborative, forward-thinking data … values experimentation and clean engineering You’ll get space to grow, learn new tools, and make a real impact What You’ll Bring: 2–5 years’ experience in data engineering or similar Strong PySpark and advanced SQL skills Hands-on experience with Databricks and building ETL/ELT pipelines Familiarity with CI/CD and version control Bonus More ❯

A fantastic opportunity has arisen for a person to join a department to assist with the delivery of innovative generative AI data solutions. ** Please note that due to the nature of the client’s business, only candidates who currently hold full sole British Citizenship (without limitations) will be considered. ** This role performs the duties of a Data Engineer specialising in generative AI and reports to the senior lead within a developing international and transversal structure. Key Responsibilities: Evaluate, design, deploy, improve and support data sets for internal customers, ensuring resilience, security and responsiveness. Collaborate with internal stakeholders to optimise and secure their data in line with operational needs. Maintain and enhance … data pipelines, ensuring compliance with data governance standards. Provide expertise in data management and quality assurance. Stay up to date with evolving technology, contribute to the technology roadmap, and deliver cutting-edge solutions. The successful candidate will ideally have: Knowledge in NLP (Natural Language Processing). Knowledge in OCR (Object Character Recognition). Knowledge More ❯

A great marketing digital client based in Old Trafford is looking for a Data Scientist to help build and mature our monitoring and alerting infrastructure, centralising current efforts and enabling scalable, standardised approaches across multiple projects. This is a pivotal role for someone who thrives in autonomous environments and enjoys owning solutions from concept to deployment. The role … training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities and making a positive impact. The Role: As a Data Scientist in this role, you will lead the design, development, and deployment of systems that monitor the health and integrity of our data. You will work with stakeholders across … a hands-on role that requires both analytical thinking and strong engineering practices. You will take full ownership of projects - from discovering and defining problems, cleaning and preparing data in the warehouse, developing and testing models and logic, and deploying solutions into production environments. Key Responsibilities: · Design and implement monitoring and alerting systems to ensure the reliability and More ❯

Role: Azure Senior Data Engineer Location: Manchester, Lancashire Hybrid working: go into office 1x day a week Salary: £60,000 - £70,000 (dependent on experience) Insight into the Company: A large retail organisation - market leaders in their industry - are looking for a Senior Data Engineer to enter their team. You will be working in a small … team of 3 (including you!) and they are looking to build up the team over the next year. The ideal candidate will have experience with managing data warehouses from start to finish and liaise with IT teams regularly. The role will involve stakeholder management, working with diverse roles, such as software engineers, sales and marketing professionals and more. … Therefore, communicating your projects needs and understanding others is an essential part of this role. Role and Responsibilities: You will design, build and upgrade data pipelines You will work in CI/CD and with Software/DevOps teams in the organisation You will have expertise in azure - from collecting, to transforming to loading! Skills and Experience: Essential More ❯

web applications, focusing on lead generation workflows. Optimize and scale platform performance to handle increasing lead volumes efficiently. Integrate and manage APIs for customer eligibility checks, ensuring encrypted data transmission and receipt in compliance with GDPR and FCA guidelines. Collaborate with marketing teams and partners to enhance lead qualification processes using automated systems. Build responsive, conversion-driven user … interfaces with a seamless customer journey. Ensure platform security, including data encryption and compliance with UK regulatory standards. Troubleshoot, debug, and upgrade existing systems to improve functionality and user experience. Work with cloud infrastructure (AWS or Replit) to deploy, manage, and scale applications. Participate in code reviews, testing, and documentation to maintain high-quality standards. Stay updated on … and Express.js for server-side logic. Familiarity with Formik and Yup for form handling and validation. Database and Storage : Experience with Supabase or similar PostgreSQL-based solutions for data management. Ability to integrate and manage relational databases securely. API Integration : Strong experience in working with RESTful APIs (e.g., Numverify, ZeroBounce) to send and receive encrypted data. Knowledge of More ❯

A forward-thinking data company, known for delivering actionable insights across media and market research, is on the lookout for a Data Scientist. This role is ideal for someone who thrives in autonomy, enjoys working across teams, and wants to play a key part in building scalable, standardised systems that ensure data reliability across … multiple products. 💼 The Opportunity: Join a product and data-driven company that works with top global brands Lead the development of systems to monitor data integrity, health, and performance Own projects end-to-end — from defining the problem to deploying production-ready solutions Hybrid role: Split your time between our Manchester office (Trafford Park) and remote … working, with flexibility built in 🛠 What You'll Be Doing: Design and implement scalable monitoring and alerting solutions across data pipelines Define critical metrics and thresholds in collaboration with technical and non-technical teams Build and deploy models using Python, PySpark, and AWS services Troubleshoot data anomalies and promote best practices in data quality More ❯

Manager, you will be responsible for the pricing of multiple motor and home products, including the following core activities: Maintaining and improving behavioural models, prioritising a range of data science techniques. Advance the adoption of data science & statistical techniques. Develop reporting structures to monitor pricing performance in an automated fashion. Develop innovative solutions to improve rating … increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy’s direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios Support development of new product offerings … Advance the adoption of the latest data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality More ❯

Manager, you will be responsible for the pricing of multiple motor and home products, including the following core activities: Maintaining and improving behavioural models, prioritising a range of data science techniques. Advance the adoption of data science & statistical techniques. Develop reporting structures to monitor pricing performance in an automated fashion. Develop innovative solutions to improve rating … increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios Support development of new product offerings … Advance the adoption of the latest data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality More ❯

Manager, you will be responsible for the pricing of multiple motor and home products, including the following core activities: Maintaining and improving behavioural models, prioritising a range of data science techniques. Advance the adoption of data science & statistical techniques. Develop reporting structures to monitor pricing performance in an automated fashion. Develop innovative solutions to improve rating … increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios Support development of new product offerings … Advance the adoption of the latest data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality More ❯

Manager, you will be responsible for the pricing of multiple motor and home products, including the following core activities: Maintaining and improving behavioural models, prioritising a range of data science techniques. Advance the adoption of data science & statistical techniques. Develop reporting structures to monitor pricing performance in an automated fashion. Develop innovative solutions to improve rating … increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios Support development of new product offerings … Advance the adoption of the latest data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality More ❯

MuleSoft/Apigee (APG) request/response formats in integration workflows. Design and deploy Google Cloud Functions with Google Cloud Storage triggers for event-driven automation. Work with Data Locker Studio for data management and transfer workflows. Create and maintain Excel-based reports with automated or semi-automated data sources. Use Azure DevOps Git … API Keys, and signed URL authentication methods. Experience with MuleSoft or Apigee middleware integration. Hands-on expertise with GCP Cloud Functions and Google Cloud Storage triggers. Familiarity with Data Locker Studio. Proficiency in Excel-based reporting automation. Knowledge of Azure DevOps Git for source control. Strong communication and documentation skills. Google Cloud certification (e.g., Professional Cloud Developer or … Cloud Engineer). Experience working in agile/Scrum environments. Exposure to data pipelines and event-driven architecture. JBRP1_UKTJ More ❯