51 to 75 of 368 Snowflake Jobs in the UK

their investment models. Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a more »

build their investment models.Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a more »

databases ( SQL ) and database design principles and familiarity with RDBMS (Relational Database Management Systems). Experience working with cloud-based data warehousing solutions like Snowflake and data lake architectures. Experience in designing, developing, and maintaining data pipelines for efficient data movement. Experience with message brokers like Kafka or RabbitMQ Familiarity more »

equivalent analyst position Proficiency in PL/SQL and an additional object-oriented programming language Experience in big data instances such as Cloudera, Azure, Snowflake, etc. Structured thinking with the ability to break down ambiguous problems and propose impactful data modeling designs Ability to roll out analytics dashboards (e.g., Power more »

design, implement and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB)Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be more »

design, implement and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be more »

Advanced knowledge of data visualization tools and dashboard design experience essential (Tableau preferred) Experience in the use of large databases and data warehouses required (Snowflake preferred) Experience with transitioning and deploying data science and quantitative models to Production environment required along with exposure to Agile development process -- ability to articulate more »

predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You've a track record of taking data science products from conception through to deployment in production. You've had more »

in Docker Good experience in Linux Good experience in Airflow Good knowledge of cloud architecture Good experience in Terraform Expert experience with database systems (snowflake, sql, postgres etc.) Experience of micro-service development and API development Strong understanding of Agile delivery methodologies Demonstrable ability to design and deliver complex systems more »

Spark experience Must have strong AWS experience Must have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake experience Docker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to have Contracts are running for 6 months initially, paying up to more »

have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like Google BigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong SQL but more »

a new Data Platform Act as Principle Data Expert to build out standards and mentor junior analysts Drive Data Engineering Solutions Key Skills Matillion Snowflake SQL Expert in building data pipelines ETL Strong Modelling and Data warehousing background Financial Services/experience of working in a regulated environment Benefits more »

Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage- Short Conversation with more »

BI A background in Data Engineering would be beneficial to show programming aptitude (SQL proficiency/data warehousing practices). Azure Data Factory or Snowflake Experience within a Real Estate Investment environment is beneficial The client will offer a three-day hybrid working policy on site, which has potential flexibility more »

a team of Data Engineers previously. Experience with Cloud Technologies (AWS or GCP preferred). Strong proficiency with Python/SQL. Big Query or Snowflake experience, ideally exposure to DBT. HOW TO APPLY Please register your interest by sending your CV to luke.frost@xcede.com via the Apply Link. more »

experience designing data pipelines/warehouses using AWS and Snowflake. Exposure to big data technologies such as Kafka, Spark, or Hadoop. Solid experience with Snowflake, including performance optimisation and cost management. Strong experience with SQL and Data modelling. Excellent understanding of AWS architecture and the ability to design effective, scalable more »

e.g., Research Pricing, recommendation systems) Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, Docker Proven Experience working across Data platforms (e.g. Snowflake, Databricks) Strong Stakeholder Management experience This is an exciting opportunity to join a leading Exchange within an exciting area of the business working on a more »

Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, DockerProven Experience working across Data platforms (e.g. Snowflake, Databricks)Strong Stakeholder Management experienceThis is an exciting opportunity to join a leading Exchange within an exciting area of the business working on a pivotal more »

requirement Experience required: As a Senior Data Engineer you will be required to demonstrate most of the below opportunities from prior/current experience. Snowflake database. dbt. Python development. Version control. Integration and deployment pipelines (CI/CD, DataOps). SQL Server, Oracle database. SSIS, SSRS, Power BI. Advanced SQL more »

in data transformation and modelling. Essential experience with tech including; GCP, SQL and DBT. Preferably working experience with: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. This position does not offer Visa Sponsorship , please refrain from applying if you require sponsorship at any stage. If this sounds like more »

achieving project success. Key Responsibilities: 1. Software Development: Write high-quality, maintainable code using languages such as Python and SQL Establish data tools like Snowflake and Azure Data Lake Services (ADLS) Gen 2 Utilize PowerBI, Tableau, or similar tools to design and create interactive and visually appealing dashboards and reports. more »

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech more »

environment ☁️ 🔹 Proven ability to design, implement, and utilize various database structures with a focus on cloud-based data services such as Azure, Databricks, and Snowflake ❄️ 🔹 Experience in building ETL/ELT data pipelines and applying DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment 🔄 If more »

position Proficiency in PL/SQL and an additional object-oriented programming language (Highly desirable) Experience in big data instances such as Cloudera, Azure, Snowflake, etc. Structured thinking with the ability to break down ambiguous problems and propose impactful data modeling designs Ability to roll out analytics dashboards (e.g., Power more »

systems onto the cloud platforms, one of the key strategies for the division in which you’ll get exposure to technologies like AWS S3, Snowflake, EMR etc. These are great roles playing a role on some really big interesting projects. more »