Senior Data Engineer - (Azure/Databricks) page is loaded Senior Data Engineer - (Azure/Databricks) Apply locations London - Scalpel time type Full time posted on Posted 15 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS More ❯
Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong More ❯
teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively. DataOps Enablement and Optimization: Drive the adoption of modern DataOps principles to streamline engineering workflows. Partner with platform teams to establish CI/CD pipelines, observability standards that improve operational efficiency … such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Stron g More ❯
teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively. DataOps Enablement and Optimization: Drive the adoption of modern DataOps principles to streamline engineering workflows. Partner with platform teams to establish CI/CD pipelines, observability standards that improve operational efficiency … such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Stron g More ❯
UK Head Office - Manchester Hybrid/PERMANENT/SALARY: COMPETITIVE Job Purpose The Data Lead is responsible for leading and growing MPM's data capabilities. Managing the data team, overseeing the design, delivery, and governance of data infrastructure, pipelines, and More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
CipherTek Recruitment
development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to More ❯
My client, a leading private capital asset manager, is seeking a talented Data Engineer to join their growing Technology team based in London. As a Data Engineer, you will work at the heart of the firm’s data operations, building More ❯
My client, a leading private capital asset manager, is seeking a talented Data Engineer to join their growing Technology team based in London. As a Data Engineer, you will work at the heart of the firm’s data operations, building More ❯
My client, a leading private capital asset manager, is seeking a talented Data Engineer to join their growing Technology team based in London. As a Data Engineer, you will work at the heart of the firm’s data operations, building More ❯
Data Engineer - STR - London, UK Job Description OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar More ❯
We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate More ❯
We are seeking a Data Support Engineer (Level 3) to provide expert technical support and drive the performance and reliability of our data infrastructure. In this role, you will serve as the go-to expert for complex data issues, collaborate More ❯
MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based environments. Google Cloud Professional Data Engine er certification (or equivalent) is highly advantageous. More ❯
MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based environments. Google Cloud Professional Data Engine er certification (or equivalent) is highly advantageous. More ❯
remote setup. Strong communication and stakeholder engagement skills. Nice to Have: Experience with other Azure services such as Azure Data Lake, Databricks, or Power BI. Familiarity with DevOps/DataOps processes and tools. Microsoft Certified: Fabric Analytics Engineer Associate Start Date: ASAP or July start acceptable Apply now to join a forward-thinking team delivering impactful data engineering solutions across More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Primus
remote setup. Strong communication and stakeholder engagement skills. Nice to Have: Experience with other Azure services such as Azure Data Lake, Databricks, or Power BI. Familiarity with DevOps/DataOps processes and tools. Microsoft Certified: Fabric Analytics Engineer Associate Start Date: ASAP or July start acceptable Apply now to join a forward-thinking team delivering impactful data engineering solutions across More ❯
MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based environments. Google Cloud Professional Data Engine er certification (or equivalent) is highly advantageous. More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Primus
remote setup. Strong communication and stakeholder engagement skills. Nice to Have: Experience with other Azure services such as Azure Data Lake, Databricks, or Power BI. Familiarity with DevOps/DataOps processes and tools. Microsoft Certified: Fabric Analytics Engineer Associate Start Date: ASAP or July start acceptable Apply now to join a forward-thinking team delivering impactful data engineering solutions across More ❯
Job Summary: Title: Lead Data Scientist Location: UK - London (Remote) Division: Marketplace Contract Terms: Full Time Permanent THE TEAM You will be joining a new Data Engineering and Data Science team to help get the most value out of our More ❯
Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data More ❯
Define and document technical delivery plans, ensuring clear next steps for the current phase and future expansion of projects. Governance & Standards: Advocate and enforce best practices in data modelling, DataOps, CI/CD, and security across projects. Documentation & Knowledge Transfer: Maintain high-quality technical documentation, ensuring clarity for both engineering teams and business stakeholders. Industry Awareness: Stay informed on Microsoft More ❯
Define and document technical delivery plans, ensuring clear next steps for the current phase and future expansion of projects. Governance & Standards: Advocate and enforce best practices in data modelling, DataOps, CI/CD, and security across projects. Documentation & Knowledge Transfer: Maintain high-quality technical documentation, ensuring clarity for both engineering teams and business stakeholders. Industry Awareness: Stay informed on Microsoft More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
MBN Solutions
You’ll Be Doing ✅ Design and deliver scalable data architecture , pipelines, and semantic models ✅ Build and deploy production-grade AI solutions (predictive & generative) ✅ Champion automation-first engineering and modern DataOps/MLOps practices ✅ Lead the development of AI & data products tied to measurable business outcomes ✅ Manage, mentor, and grow a high-performing data engineering team ✅ Work cross-functionally with architects More ❯
as Python Good knowledge of the Azure cloud data platform and the potential to use its services to improve analytics Good knowledge of testing BI software, release cycles, devops (dataops) and how to successfully move a product from development to production Ability to understand complex technical/technology solutions and concepts, with the ability to solve complex problems. Effective IT More ❯
Easter Howgate, Midlothian, United Kingdom Hybrid / WFH Options
Leonardo UK Ltd
a data or software engineer in a similar role. Attributes required include; Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services. Proficient in DataOps methodologies and tools, including experience with CI/CD pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow More ❯