176 to 200 of 392 Databricks Jobs in London

optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such More ❯

optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such More ❯

data mapping and domain-specific components. Create and manage data quality dashboards. Develop data pipelines and manage warehouse/lake tables and views using Databricks and other tools, adhering to the medaillon architecture. Configure, extend, or create BI dashboards with PowerBI that leverage data layers. Perform testing and validation of More ❯

Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data More ❯

for executing comprehensive manual tests to ensure the quality of data flows across various Chambers products and platforms, with a primary focus on the Databricks environment. This role plays a critical part in maintaining the integrity and reliability of our data services. Main Duties and Responsibilities: Collaborate with cross-functional More ❯

Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career More ❯

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you’ll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you'll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career More ❯

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you’ll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you'll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

experience as a Platform Technical Lead, Data Architect, or similar role , leading enterprise data platforms at scale. Strong technical expertise in Azure, AWS, Snowflake, Databricks, Data Lakes, and Kafka . Deep understanding of modern data platform architectures , including Lakehouse, Kappa, and Lambda . Experience designing and managing secure, scalable, and More ❯

experience as a Platform Technical Lead, Data Architect, or similar role , leading enterprise data platforms at scale. Strong technical expertise in Azure, AWS, Snowflake, Databricks, Data Lakes, and Kafka . Deep understanding of modern data platform architectures , including Lakehouse, Kappa, and Lambda . Experience designing and managing secure, scalable, and More ❯

managing cloud and technology costs Familiarity and understanding of AWS, Azure, and GCP service offerings Proficiency with data analysis tools and techniques (Excel, SQL, Databricks) Ability to communicate articulately and effectively across a diverse stakeholder population Excellent interpersonal and organizational skills Education: Bachelor's degree in Computer Science, Information Systems More ❯

Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data More ❯

AWS or other cloud technologies Excellent interpersonal and communication skills What puts you over the top: Experience in data processing solutions using Big Data, Databricks Experience with web debugging using Chrome Dev Tools or similar browser debugging tools Experience in cloud systems preferably AWS. Distributed services - docker containers, kubernetes Knowledge More ❯

where data content, data structure and data metadata may not align with the documentation Having experience in using these technologies in a Production context: Databricks, dbt, Teradata, Bash, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub Our customer first behaviours put customers and members at the heart More ❯

where data content, data structure and data metadata may not align with the documentation Having experience in using these technologies in a Production context: Databricks, dbt, Teradata, Bash, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub Our customer first behaviours put customers and members at the heart More ❯

about emerging technology and Insurtech Desirable; Experience with dbt Experience with version control software Experience within a modern cloud data warehouse, e.g. BigQuery, Snowflake, Databricks Experience working on data within Insurance and/or a B2B company About Us; We’ve combined groundbreaking AI and industry expertise to create a More ❯

deliverables. Motivated to expand technical skills. Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

of Data Engineering to lead data strategy, architecture, and team management in a fast-paced fintech environment. This role involves designing scalable Apache Spark , Databricks , and Snowflake solutions on Azure , optimizing ETL/ELT pipelines , ensuring data security and compliance, and driving innovation in big data processing. The ideal candidate … data engineers, fostering a culture of innovation, collaboration, and best practices. Big Data Processing: Architect, optimize, and manage big data solutions leveraging Apache Spark, Databricks, and Snowflake to enable real-time and batch data processing. Cloud Data Infrastructure: Oversee the deployment and maintenance of Azure-based data platforms, ensuring high … in data engineering, with at least 3+ years in a leadership role within fintech or financial services. Strong hands-on experience with Apache Spark, Databricks, Snowflake, and Azure Data Services (Azure Data Lake, Azure Synapse, etc.). Deep understanding of distributed computing, data warehousing, and data lake architectures. Proficiency in More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

and transformation in Azure. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations Use Azure Data Factory and Databricks to assemble large, complex data sets Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Ensure data quality … solving, and collaboration with cross-functional teams Azure DevOps Apache Spark, Python Strong SQL proficiency Data modeling understanding ETL processes, Azure Data Factory Azure Databricks knowledge Familiarity with data warehousing Big data technologies Data governance principles are a plus Overview: Infosys is a global leader in next-generation digital services More ❯