1 to 25 of 72 DataOps Jobs in England

organization. Define the agile framework and processes enabling every function to turn requirements and ideas into insights that support data based decisions. Adopt DevOps, DataOps and MLOps frameworks and best practices as the standard for all data engineering across the company. Development and monitoring of MI and AI engineering quality more »

offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Experience in the following things isn't essential, but it's highly desirable more »

offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Experience in the following things isn't essential, but it's highly desirable more »

optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience with data integration and ETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Ideally we would be looking for more »

developing solutions to drive data-centric decision-making, and upholding data quality and organisation standards. Strong skills in Python, SQL, AWS, Glue, ETL and DataOps principles is essential. Core skills for this Data Engineer role: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS more »

developing solutions to drive data-centric decision-making, and upholding data quality and organisation standards. Strong skills in Python, SQL, AWS, Glue, ETL and DataOps principles is essential. Core skills: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS Glue, Amazon DynamoDB for NoSQL more »

and distributed systems data extraction, transformation and loading of datasets Excellent communication and leadership skills. Including the ability to initiate and drive projects proactively DataOps and ways to improve Data quality Track record building custom data frameworks and platforms Agile and Continuous Delivery Continuous integration pipelines Strong Python AWS or more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

SQL (any flavor). Comfortable with shell scripting (e.g., Bash) and provisioning new infrastructure in leading cloud providers, preferably GCP or AWS. Experience creating DataOps pipelines. Adept at working in an Agile environment, actively participating in approaches such as Scrum or Kanban. My client is working to a hybrid model more »

Experience in data modelling methodologies Experience with evolving technologies i.e. Big Data, Real Time Analytics, Predictive Analytics, Bots Experience with emerging practices i.e. Agile, DataOps more »

Experience in sharing best practices to benefit the wider team. Support in unpacking business requirements and form a software design with the team. Introduce 'DataOps' thinking and processes. If you have this experience please apply. more »

Role: Senior DataOps Engineer Address: 1 Rivington Rd, Preston Brook, Runcorn, WA7 3DJ Salary: £46,000 - £49,000 Hours: 37.5 hours per week Are you a seasoned expert in data engineering looking to make a significant impact in the healthcare industry? Phoenix Medical Supplies is seeking a Senior DataOps Engineer … Europe. We are committed to enhancing patient care with the aim of bring high quality products and services across the region. As a Senior DataOps Engineer, you will be instrumental in architecting and implementing solutions across the entire data pipeline, from ingestion to visualisation. The role will require you to more »

in a Lead Data Engineer Educated to degree level in a QS top 100 university Proven experience delivering scalable data pipelines PySpark SQLDevOps/DataOps/CICD Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes Data Modelling/Data Architecture Data Migration Programmes With the brand more »

third parties a need to future proof for huge data expansion is needed! • Continuing to develop the data automation pipeline and suite (DevOps/DataOps slant). • Data protection and security becoming critical with the expansion. • Cloud migration using Microsoft Azure • Someone who is in tune with the newer trends more »