26 to 50 of 652 Snowflake Jobs in the UK

Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based ...

Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering or large ...

Looker Studio).Experience working with large, complex data warehouses and/or data lakes.Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, or Google Cloud Platform.Proficiency in SQL and languages such as R or Python, including relevant frameworks.Strong stakeholder management skills with the ability to advise upon complex ...

Looker Studio).Experience working with large, complex data warehouses and/or data lakes.Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, or Google Cloud Platform.Proficiency in SQL and languages such as R or Python, including relevant frameworks.Strong stakeholder management skills with the ability to advise upon complex ...

more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker ...

degree or equivalent Experience building data pipelines in production Hands-on experience with a cloud platform (AWS, Azure or GCP) Experience with data warehousing (Snowflake, Redshift, BigQuery or Synapse) Understanding of data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure ...

Azure). Strong SQL and Python skills, with deep experience in modern data stack tooling (e.g., dbt, Airflow or Dagster, Spark, Snowflake, BigQuery, Databricks). Experience designing lakehouse architectures and ELT-based transformation workflows. Practical experience implementing data governance, lineage, quality, and observability frameworks. Familiar with CI/CD practices ...

infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting ...

Engineering working with DataStrong SQL expertise, particularly in complex analytical and warehouse queriesProficiency in Python and/or JavaExperience with Data Warehouses, such as Snowflake or Apache IcebergPractical knowledge deploying and operating containerised workloads using Docker and KubernetesKnowledge of streaming tooling (Kafka, Kafka Connect, Flink,...)Experience with ETL/ ...

data engineering, analytics engineering, or BI development role. Strong hands-on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake).Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data ...

system integration using modern frameworks (Spark, dbt, LangChain)A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.)Hands-on experience with MLOps/LLMOps principles, including CI/ ...

solutions. Hands-on experience with modern enterprise data and AI platforms, such as Databricks, Palantir Foundry, Microsoft Fabric, Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi-agent systems, machine learning or predictive analytics. Experience with ...

Snowflake Data Engineer - London (Hybrid) - Snowflake - AWS/Azure/GCP - Up to £60,000 Looking to take your Snowflake career to the next level? Join a leading Data & AI consultancy delivering large-scale cloud, analytics and AI transformation programmes for some of the world's most recognised organisations. … work on complex Snowflake projects, helping businesses modernise their data platforms while building solutions that power advanced analytics, machine learning and AI initiatives. Working alongside highly experienced Snowflake, Data and Cloud specialists, you'll gain exposure to enterprise-scale projects, cutting-edge technologies and structured career development within a rapidly ...

effectively with clients and stakeholders.Self-sufficient, with excellent problem-solving and communication skills.Advantageous:Experience with Logic Apps and integration tools.Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift).Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform).Exposure to machine learning and AI solutions.Understanding PowerShell ...

stakeholders. Self-sufficient, with excellent problem-solving and communication skills. Advantageous: Experience with Logic Apps and integration tools. Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift).Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform).Exposure to machine learning and AI solutions. Understanding PowerShell ...

modeling, infrastructure, and analytics. Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures. Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools. Ability to understand and work with SQL queries and data models. Knowledge of data governance ...

techniques to data and analytics. Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. Expertise writing, optimizing, and analyzing SQL.Hands-on experience building and operating distributed data platforms on AWS or GCP.Hands-on experience with streaming platforms ...

should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP). Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous). Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/ ...

financial reporting.Technical Skills:Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge ...

Technical SkillsData Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems. Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views. Data Governance Tools: Collibra, Alation, Talend or equivalent. Expertise in ETL tools ...

have experience following software engineering best practices like version control and continuous integrationYou have strong proficiency using SQL in cloud data warehouses (we use Snowflake) and are comfortable with performance optimization, data partitioning, and window functionsYou are able to operate effectively and autonomously across multiple teams in situations of ambiguity ...

coding assistance, investigation, anomaly detection).Experience supporting production data pipelines and incident workflows (monitoring, alerts, runbooks, operational readiness).Familiarity with modern data warehouses (e.g., Snowflake) and/or analytical engines (e.g., DuckDB, Polars); deeper query optimisation on large datasets. Version control (Git), testing, and code review practices. Cloud experience ...

experience with SQL Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery Experience with Python/PySpark Experience with implementing Rest APIs. Experience with using and integrating BI tools such as QuickSight, Looker ...

tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). * Strong Python and SQL; C++, C#, or MATLAB a plus. * Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. * Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power ...

/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka).Strong Python and SQL; C++, C#, or MATLAB a plus.Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB.Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau ...