1 to 25 of 654 Snowflake Jobs

ability to work in a multidisciplinary team. Strong presentation, and both verbal and written communication skills. Desirable Experience with other OOP languages. Experience with Snowflake/SQL or other database management systems. Experience with Cloud Platforms (AWS, GCP, Azure). Benefits: Competitive salary. 25 days holiday plus bank holidays. Share More ❯

deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest More ❯

Data Engineer (Python, Data Modelling, ETL/ELT, Apache Airflow, DBT, AWS) Enterprise-scale tech firm Up to £70,000 plus benefits - FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes More ❯

Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to More ❯

Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to More ❯

in managing, querying, and transforming data using SQL, Python, or other relevant languages. Experience working with databases, including data modeling and query optimization (e.g., Snowflake , PostgreSQL ). A strong understanding of CI/CD pipelines , TDD/BDD , and the DevOps culture. Excellent problem-solving and debugging skills, particularly in More ❯

Utilize web development technologies to facilitate application development for front end UI used for risk management actions Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. Interact with business users for resolving issues with applications. Design and support batch processes using scheduling infrastructure for calculation More ❯

define and implement solutions 4+ years in typescript/javascript and JVM programming language (e.g. Scala, other) 4+ years in persistence technologies: SQL, Databricks, Snowflake, Elastic, BigQuery, Graph Experience with ETL tools and data processing pipelines: Apache Spark Experience with SaaS and CSP provided technologies: Kubernetes, GCP, AWS Experience integrating More ❯

architecture, data modeling, and designing large-scale data pipelines. - Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data storage solutions (e.g., Redshift, Snowflake, S3). - Ability to manage and prioritize multiple projects and deliver them on time. - Strong communication skills and the ability to interact with senior leadership More ❯

of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one More ❯

Python; experience with Polaris is a helpful addition Expertise with Core Java and Spring Advanced SQL. Experience with cloud technologies is a plus (AWS, Snowflake, etc) Familiarity with equities and equity derivatives within a real-time electronic trading environment is required Strong communication skills; ability to liaise with investment professionals More ❯

Python programming concepts and 3+ years applied experience. Extensive development experience using SQL. Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino. Familiarity with workflow management tools (e.g., Airflow) and/or dbt for transformations. Comprehensive understanding More ❯

Linux based environment with multi threaded java and good working knowledge of an RDBMS. Some experience of technologies such as MongoDB, Kafka, IBM MQ, snowflake or other leading edge high performant data and caching technologies would be helpful. The candidate should have strong analytical skills, strong software engineering skills, a More ❯

Linux based environment with multi threaded java and good working knowledge of an RDBMS. Some experience of technologies such as MongoDB, Kafka, IBM MQ, snowflake or other leading edge high performant data and caching technologies would be helpful. The candidate should have strong analytical skills, strong software engineering skills, a More ❯

a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow orchestration platforms More ❯

a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow orchestration platforms More ❯

in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran, dbt) and More ❯

in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran, dbt) and More ❯

AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks. If you are interested in this position please apply directly on Linkedin with an updated copy of your CV. More ❯

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 ❯

workstreams and mentor other engineers. Strong communication skills to navigate client relationships and translate technical insights into business value. Experience with cloud platforms (e.g., Snowflake, AWS) and ETL/ELT pipeline tools like Airflow/dbt. Benefits £6,000 per annum training & conference budget to help you up-skill and More ❯

Scala, Kotlin, and SQL DevOps tools and skills: Building CI/CD pipelines, Kubernetes, Helm, Docker/Podman, Terraform Data Warehousing and Analysis: BigQuery, Snowflake, Redshift, Databricks, DBT Realtime Data Processing: Apache Kafka, Apache Spark, Apache Flink. Orchestration: Apache Airflow, Dagster The way we look at work Hybrid, yes please. More ❯

ideally an asset manager) Experience leading and developing a team Direct significant experience developing relational databases and working with data management platforms (e.g. Oracle, Snowflake, AWS or the likes) for portfolio analysis. Direct experience scripting (e.g. SQL, Python) and using visualisation softwares (e.g. PowerBi, Tableau, Grafana) to efficiently produce analysis More ❯

for front-end development, and writing complex SQL queries for data extraction, transformation, and reporting Experience with data warehousing concepts and platforms, such as Snowflake and Amazon Redshift, and with databases such as Postgres, Solr, Accumulo, or Iceberg Experience integrating structured and unstructured data from various sources such as APIs More ❯

in developing and optimising ETL/ELT pipelines and using DBT for data transformation and modelling. Knowledge of data modelling techniques, including star and snowflake schemas, for efficient data analysis. Familiarity with cloud platforms such as AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake. Strong Python skills More ❯