301 to 325 of 941 Snowflake Jobs in the UK

designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi‐cloud ...

such as Salesforce CPQ, LeanData, or Clay. Exposure to implementing AI capabilities for predictive scoring or automated routing. Practical SQL skills and familiarity with Snowflake or AWS data pipelines. An advanced degree (such as an MBA or related Master's degree). **Please note that visa sponsorship is not available ...

support data validation, automation, or optimisation. Familiarity with a range of database systems, including relational (Oracle, SQL Server, PostgreSQL, MySQL), columnar (Amazon Redshift, Snowflake), and NoSQL (MongoDB, Cassandra). Advanced communication and collaboration skills, with the ability to work effectively with product managers, engineering teams, governance forums, and business stakeholders ...

owners and governance stakeholders to establish common definitions, terminology and semantic alignment.* Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.* Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse ...

application, cloud, integration and security. Working knowledge of data architecture concepts – including data modelling, integration, governance, visualisation and migration – and tools such as Databricks, Snowflake or equivalent. An appreciation of how technology can solve complex business problems, and comfortable operating at the intersection of business and technology. Strong written ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity ...

transition into the world of Architecture. Knowledge across key principles including data modelling, pipelining, quality and management. Working knowledge with the likes of Databricks, Snowflake, Fabric etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in meeting deadlines consistently. A strategic thinker ...

manipulate and interpret datasets using Excel and SQL, R or Python. Experience of BI tools (e.g. Tableau or Business Objects) and AWS/Snowflake would be advantageous. Excellent communication skills and experience in collaborating with peers or colleagues. This role will suit you if: You’re looking to grow your ...

Council, ISO 8000, ISO 27001, ISO15489or equivalent data/information management frameworks. Experience with Microsoft Purview, Collibra, Informatica,Ataccama, Alation, Azure, AWS, Databricks, Snowflake, MicrosoftFabricor similar platforms. Experience working with DPOs, SIROs, CISOs, enterprise architects, data platformteamsand business data owners. Experience with GDPR, Data Protection Act 2018, Freedom of Information ...

outcomes across one or more OLAP domains Strong understanding of data modelling techniques (Star, Medallion, etc) and distributed data systems within cloud‐native environments (Snowflake, etc). Experience in building and leveraging unstructured data across disparate systems to enable product development. Examples of communication and influencing across technical ...

know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

integration platform such as MuleSoft or Informatica Nice to have Experience at a Databricks SI partner, or at Databricks itself Familiarity with competing platforms (Snowflake, Synapse, Fabric, dbt) and how they stack up against Databricks Existing relationships at Databricks Experience standing up a new capability or growing a new team ...

Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics. Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications. Develop and maintain dashboards and reports using tools such as Power BI. Investigate data issues, perform root‐cause analysis … production. 5+ years working with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with ...

develop scalable, reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers, and business teams to deliver analytics-ready datasets Establish and enforce data governance practices aligned with … development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue, and Snowflake Experience designing scalable and cost-efficient data architectures Proficiency in Python, including modularization and production-ready code for data transformations, automation, and workflow orchestration Expert ...

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … leveraging AI-assisted workflows to optimise task efficiency. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse ...

Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience designing … depth knowledge of modern data modeling techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such as Databrick, Snowflake or Redshift. Proven experience in DataOps, CI/CD (MLOps is a plus) Exceptional written, verbal, and listening communication skills, with the ability to effectively ...

Data Engineer – Snowflake We are seeking an experienced Data Engineer with strong expertise in Snowflake, data analysis and data architecture to join our Data Services team and play a key role in delivering our Reporting & Analytics programme. This is an exciting opportunity to help shape and develop an enterprise data … Role As a Data Engineer, you will be responsible for designing, developing and maintaining the enterprise data platform, with a particular focus on Snowflake . You will work across data architecture, engineering and analysis, ensuring data flows seamlessly from source systems into Snowflake and ultimately into the Power BI reporting ...

Artefact is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using SQL, Python, Databricks, Snowflake and orchestration tools. You will lead a team, collaborate with architects and analysts, and drive data governance and security practices across complex systems. The role emphasizes CI/ ...

data models while mentoring engineers and setting engineering standards. You'll work closely with stakeholders to translate requirements into robust data solutions, using Databricks, Snowflake, dbt, Airflow, Python and SQL in production environments. #J-18808-Ljbffr ...

player-coach position with about 50/50 split between leadership and hands-on delivery, requiring hands-on SQL and Python, and experience with Snowflake and Power BI. Strong stakeholder management and the ability to translate complex data into clear commercial insight in a data-rich environment are #J ...

solutions and insights for senior stakeholders. Essential skills Strong hands-on SQL and advanced Power BI skills, including data modelling and DAX. Hands-on Snowflake experience is essential. Experience with data pipelines, integrations, reporting, data quality and governance. #J-18808-Ljbffr ...

Data Engineer • Bigdata Technologies – PySpark, Spark • Coding Languages – Python, SQL • AWS services – Glue, Cloud formation, Lake Formation, IAM, Lambda, Redshift • Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka. • Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives. • Understand project requirements ...

with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud data warehouses (Snowflake/SQL) Salary: to be discussed, depending on experience Length: 12 months, with the view to extend #J-18808-Ljbffr ...

certifications are desirable Ideally you will have experience with: Azure DataFactory/Azure Databricks MS SQL Server/SSMS/SSAS API Integrations Snowflake Node-RED ThoughtSpot If you are interested in this role, please apply! If you do not receive a response please accept your application is not suitable ...

Risk Team on a critical data platform maintenance and enhancement programme. Investment Data Engineer, key skills: Strong commercial experience in Data Engineering, particularly using Snowflake Proven experience developing and maintaining workflows using Apache Airflow and DBT (Data Build Tool) Experience integrating and supporting Bloomberg data feeds, services or associated investment ...