226 to 250 of 285 Data Pipeline Jobs in the Midlands

network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible … working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small More ❯

network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible … working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small More ❯

network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible … working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small More ❯

network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible … working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small More ❯

Social network you want to login/join with: Opportunity for a Data Engineer to join a collaborative business operating in the Reproductive sector in Nottingham Salary up to £40,000 + some fantastic benefits including remote working, purchase additional holiday scheme, pension contribution, and more We are … bank holidays Option to buy/sell additional holidays Pension contribution Life Insurance Flexible working arrangements WHAT WILL YOU BE DOING? As a Data Engineer, you’ll be responsible for developing and maintaining robust data pipelines and integrations to support the organisation’s reporting and analytics … needs. You’ll design and manage ETL processes, ensuring seamless data extraction, transformation, and loading into reporting systems. Working with cloud-based platforms and relational databases, you’ll optimise data workflows for performance, scalability, and reliability. You’ll collaborate with IT and data teams More ❯

Location: Leicester (Onsite, 5 days a week) We’re partnering with a client to find an experienced Data Analyst in a Fixed Term Contract role. This is a fantastic opportunity to work on cutting-edge data projects, enhance reporting processes, and deliver high-value insights within … a dynamic and collaborative team environment. About the Role: Utilize tools such as SQL, Power BI, Databricks, and Data Lakes to develop data pipelines and streamline reporting processes. Support data modeling projects, including implementing Medallion architecture to achieve gold-standard data sets. … key Oracle project, supporting its implementation and ensuring reporting needs are met. Collaborate with internal teams, senior stakeholders, and peers to provide actionable data-driven insights. Key Skills and Experience Required: Advanced proficiency in SQL, Power BI, and Databricks. Experience with process streamlining, automation scripting, and data More ❯

Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Job Description Our Insights platform empowers educational institutions to analyze vast amounts of exam data, providing critical analytics that drive better learning outcomes. We are seeking a Senior Backend Engineer to develop and maintain the core data … power this platform. As a core contributor to our Examsoft Insights team, you will play a key role in developing and enhancing the data processing and reporting systems that power our analytics platform. Responsibilities: Design and implement scalable data pipelines for processing and transforming large volumes … of exam data using Java, AWS Lambda, SQS, EventBridge and other AWS technologies. Develop and optimize data storage and retrieval systems, ensuring data integrity and accuracy. Implement monitoring and alerting for data processing systems to ensure reliability and performance. Design/Implement More ❯

Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you … to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face More ❯

Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you … to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face More ❯

A small and growing consultancy who are delivering cutting-edge data solutions for high-profile clients, are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including … starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high … quality data solutions Supporting the development of data products like dashboards, APIs, and predictive models Driving automation and operational efficiency through data tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics More ❯

A small and growing consultancy who are delivering cutting-edge data solutions for high-profile clients, are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including … starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high … quality data solutions Supporting the development of data products like dashboards, APIs, and predictive models Driving automation and operational efficiency through data tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics More ❯

do things differently. We're focused on our core values; using these we've seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of … cloud-based AI architectures that address both technical feasibility and business impact. Propose end-to-end AI/ML solutions-including model design, data pipelines, MLOps, and platform integration-tailored to each opportunity. 3. Support Sales and Bid Activity Lead the technical response for AI-related RFPs, RFIs … prompt engineering) can drive value in future proposals. Qualifications Experience & Skills Proven experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics. Strong ability to elicit business needs and align them with AI/ML solutions in cloud environments (Azure, AWS, or GCP More ❯

Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over … We are committed to equality of opportunity and welcome applications from individuals, regardless of their background. Job Description We are looking for a Data Engineer to join our Product Development team. You will work closely with the Scrum Master to deliver our technical builds, approach, and prioritisation. Are … you a developer, data or software engineer with experience working with advertising/media dataset, and a history of creating data pipelines and structures that can be used in front end applications or creating automations that make data work harder? If so this is More ❯

Developer needed for a permanent career opportunity based in Derby . A chance to join an established + growing software business who develop data solutions for large Retail brands. Must be willing to work from the Derby office full-time. Start ideally in Summer 2025. Key experience + … power core business applications. Strong hands-on SQL Server database development skills including: complex stored procedures T-SQL, indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake … Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous Skills: Power BI, NoSQL, Azure Synapse, data visualisation tools, Data Lakes, streaming technologies More ❯

Developer needed for a permanent career opportunity based in Derby . A chance to join an established + growing software business who develop data solutions for large Retail brands. Must be willing to work from the Derby office full-time. Start ideally in Spring/Summer 2025. Key … experience + responsibilities: Designing, developing + maintaining SQL based solutions that power core business applications. Building/optimising data pipelines and integrations across cloud platforms. Strong hands-on SQL development skills including: MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. … Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous Skills: Power BI, NoSQL, Azure Synapse More ❯

for three decades including EV Charging, Marina Services, Caravan Hook-Ups. The Back End Developer will create an ambitious cloud cloud platform and data pipelines for providing information to customers in a dedicated research facility in Nottingham. There are also future leadership opportunities. Concepts: Microservices OOP TDD Cloud More ❯

Hays are working exclusively with a well-known retailer to help them recruit a couple of specialist Data Reporting Developers. These roles are fixed-term contracts for 23 months (all benefits of a permanent employee). We're looking for solution-focused analysts/developers to join a … multidisciplinary reporting team within the National Data and Analytics (NDA) department. You will help develop, design and deliver high-quality national reporting solutions across one or more business areas, working alongside fellow developers, Business Partners, and Engineers to create products that empower decision-making and drive strategic outcomes. … business objectives. Ensure that technical and business documentation, UAT materials, and training resources accompany all delivered reports. Conduct testing and troubleshooting to ensure data accuracy, integrity, and usability. Support continuous improvement by identifying opportunities to enhance reporting solutions and processes. Participate in knowledge-sharing activities, code reviews, and More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯

Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping … the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor … a team of machine learning and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance More ❯