Build the future of the AI Data Cloud. Join the Snowflake team. Build the Future of Data with SnowflakeSnowflake, the pioneer of the AI Data Cloud, is seeking a dynamic and accomplished Engineering Manager to join our Developer Platform team. In this role, you will spearhead the development of … a unified experience across the Snowflake platform and tools, with a primary focus on leading our engineering team. This involves creating innovative solutions that enable seamless DevOps integration across applications and data platforms. Additionally, you will be enhancing client tools, libraries, and server-side REST APIs, which are instrumental for … our customers in deriving value from the Snowflake platform. At Snowflake, Engineering Managers require a technical background, with either prior experience or the ability to learn the domain they manage. Beyond engineering-specific decisions, strong critical thinking, communication, and decision-making skills are essential. Successful managers in our environment value 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 ❯
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 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 ❯
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 ❯
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 ❯
in an Agile Software Development environment. • Demonstrated team-player enabling joint success and a continuous learner. Preferred Qualifications • Experience with data platforms (e.g., Databricks, Snowflake, Amazon Redshift, Palantir, etc.) and technologies for processing large datasets. • Familiarity with distributed platforms such as Kubernetes or those offered by cloud providers (AWS, GCP More ❯
Nottinghamshire, United Kingdom Hybrid / WFH Options
Akkodis
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 ❯
norwich, east anglia, united kingdom Hybrid / WFH Options
Hamilton Barnes 🌳
Snowflake DBA - 6 months - Inside IR35 - Hybrid in Norwich An experienced Snowflake Database Administrator is required to lead the management, optimisation, and governance of a secure, high-performing Snowflake environment for a leading organisation. This is a 6-month rolling contract, operating inside IR35, with on-site presence required several … times per week in Norwich. Key Responsibilities: Administer and manage Snowflake environments: Oversee user accounts, roles, and permissions in Snowflake. Implement and maintain data security and governance: Ensure secure access, data masking, and compliance with policies. Optimize database performance and storage: Monitor and tune performance, manage virtual warehouses, and storage … views, and procedures. Support disaster recovery and data replication strategies: Implement back-up, restore, and cross-region replication plans. What you will ideally bring: Snowflake Administration, Deep expertise in Snowflake setup, configuration, and best practices. SQL & Snowflake SQL, Proficiency in standard ANSI SQL and Snowflake-specific extensions. Cloud Platform Knowledge More ❯
. Solid experience with ETL tools (e.g., Apache Airflow, dbt, Talend). Proficiency with SQL and relational/non-relational databases (e.g., PostgreSQL, BigQuery, Snowflake, MongoDB). Experience working with cloud environments and data services (AWS Glue, Azure Data Factory, GCP Dataflow, etc.). Understanding of data governance, data quality 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 ❯
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 ❯
Knowledge/Experience Experience with CI/CD and Infrastructure-as-Code (e.g., Terraform, CloudFormation). Familiarity with modern data stack components (e.g., dbt, Snowflake, Airbyte). Experience working in an Agile/Scrum environment. Knowledge of Python or Java/Scala for data engineering. Experience with version control systems More ❯
Knowledge/Experience Experience with CI/CD and Infrastructure-as-Code (e.g., Terraform, CloudFormation). Familiarity with modern data stack components (e.g., dbt, Snowflake, Airbyte). Experience working in an Agile/Scrum environment. Knowledge of Python or Java/Scala for data engineering. Experience with version control systems More ❯
experience in Data Engineering, with a strong background in building data pipelines at scale. Proficiency with modern data technologies (e.g Apache Airflow, Spark, Kafka, Snowflake, or similar). Strong SQL skills and experience with cloud databases and data warehouses (AWS, GCP, or Azure ecosystems). Expertise in working with unstructured More ❯
experience in Data Engineering, with a strong background in building data pipelines at scale. Proficiency with modern data technologies (e.g Apache Airflow, Spark, Kafka, Snowflake, or similar). Strong SQL skills and experience with cloud databases and data warehouses (AWS, GCP, or Azure ecosystems). Expertise in working with unstructured More ❯
experience in Data Engineering, with a strong background in building data pipelines at scale. Proficiency with modern data technologies (e.g Apache Airflow, Spark, Kafka, Snowflake, or similar). Strong SQL skills and experience with cloud databases and data warehouses (AWS, GCP, or Azure ecosystems). Expertise in working with unstructured More ❯
experience in Data Engineering, with a strong background in building data pipelines at scale. Proficiency with modern data technologies (e.g Apache Airflow, Spark, Kafka, Snowflake, or similar). Strong SQL skills and experience with cloud databases and data warehouses (AWS, GCP, or Azure ecosystems). Expertise in working with unstructured More ❯
Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is More ❯
Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is More ❯
