26 to 50 of 517 Snowflake Jobs in England

in an asset management environment. Experience leading and developing a team. Extensive experience developing relational databases and working with data management platforms (e.g., Oracle, Snowflake, AWS). Proficiency in scripting (e.g., SQL, Python) and using visualization software (e.g., PowerBi, Tableau) for analysis and reporting. Strong technical understanding of multi-factor More ❯

with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so More ❯

platforms are built with Clojure, employ a polylith architecture, are deployed using CI/CD, heavily exploit automation, and run on AWS, GCP, k8s, Snowflake, and more. We serve 9 petabytes and 77 billion objects annually, which amounts to 20 billion ad impressions across the globe. You'll play a More ❯

modeling . Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB . Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer . Proficiency in Python for data engineering and Tableau for reporting and dashboards. Exposure More ❯

ETL/ELT workflows. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

in: web and mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

with relational and non-relational databases. Qualifications/Nice to have Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ. Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark More ❯

in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding of data governance and regulatory compliance . Ability to work in a fast-paced, regulated environment . We also offer: An employer More ❯

API Gateway, ECS) Experience designing and developing microservices with clean domain boundaries Good working knowledge of SQL and cloud databases (Aurora/Postgres, DynamoDB, Snowflake etc.) Familiarity with IaC tooling such as AWS CDK, CloudFormation or Terraform Experience working in Agile/Kanban teams with strong TDD principles CI/ More ❯

trading industries. Strong object-oriented development skills and software engineering fundamentals. Hands-on experience with cloud data-engineering technologies like Apache Airflow, K8S, Clickhouse, Snowflake, Redis, caching technologies, and Kafka. Proficiency in relational and non-relational databases, SQL, and query optimization. Experience designing infrastructure to meet high availability SLAs. Experience More ❯

API Gateway, ECS) Experience designing and developing microservices with clean domain boundaries Good working knowledge of SQL and cloud databases (Aurora/Postgres, DynamoDB, Snowflake etc.) Familiarity with IaC tooling such as AWS CDK, CloudFormation or Terraform Experience working in Agile/Kanban teams with strong TDD principles CI/ More ❯

service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best More ❯

service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best More ❯

SQL at least basics but by year 3 should be quite proficient with at least pulling data Data Lake implementation and processing. Knowledge of Snowflake or equivalent XGBoost, LightGBM and the ability to use them for tabular data NLP and familiar with modern transformers Experience using Tableau or PowerBI for More ❯

data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to keynote talks & events Customer engagement and relationship management skills Understanding of More ❯

large volumes of structured and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for More ❯

data pipelines and ETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration More ❯

most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and More ❯

Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g. More ❯

ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran More ❯

Dimensional (Kimball) data modelling. • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL). Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake). • Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database. • MongoDB. • Cloud Data Technologies (Mainly More ❯