76 to 100 of 517 Snowflake Jobs in England

Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. Partner with product and engineering teams to define data architecture and best practices for reporting. Ensure data security, compliance More ❯

Responsibilities ·Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. ·Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. ·Partner with product and engineering teams to define data architecture and best practices for reporting. ·Ensure data security, compliance More ❯

Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and More ❯

troubleshooting and tuning. Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc). Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks). Some experience with Python. Grit when faced with technical issues. Comfort and confidence in client-facing interactions. Ability to work both pre and More ❯

in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including More ❯

in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including More ❯

data standards to ensure alignment across teams Experience Experience in a similar analytics engineeringrole Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, BigQuery) Proficiency with dbt or similar data transformation tools Experience with BI tools (e.g., Tableau, Looker) for creating reports and dashboards Knowledge of data governance More ❯

Python. Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Excellent communication skills and experience More ❯

Python. Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Experience communicating with business stakeholders More ❯

for example Cloud Practitioner, Associate Architect or Associate Developer. Experience that would be advantageous: Experience in working with the below toolsets: Ab Initio Python Snowflake Sterling File Transfer Logz.io and New Relic AWS services Where and how you'll work This is a permanent position and is based in our More ❯

and Windows operating systems: security, configuration, and management Database design, setup, and administration (DBA) experience with Sybase, Oracle, or UDB Big data systems: Hadoop, Snowflake, NoSQL, HBase, HDFS, MapReduce Web and Mobile technologies, digital workflow tools Site reliability engineering and runtime operational tools (agent-based technologies) and processes (capacity, change More ❯

. • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google More ❯

Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices Bonus: DP-203 or Fabric Analytics certification highly desirable. Important: Must have the More ❯

Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices Bonus: DP-203 or Fabric Analytics certification highly desirable. Important: Must have the More ❯

modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA. Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLTP and OLAP databases. Minimum 5 years experience with reporting tools: Power BI, Business Objects, Tableau or OBI. Understanding of Master Data More ❯

with ETL/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset More ❯

you will have the opportunity to utilise cutting edge data tools to design and implement robust data solutions. Required Skills/Experience: Exposure to Snowflake At least 2 years’ experience working with Azure data products MS SQL expertise (querying, transforming, and managing datasets) Python competency Proficient in version control tools More ❯

with ETL/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

Python is a bonus. Solid understanding of asset management is essential, particularly Fund Static, ABOR and trades data. Experience working with data warehouses (ideally Snowflake), and tools such as LucidCharts, MS Teams, Power Apps, and Azure DevOps. Strong stakeholder management and communication skills, with the ability to influence and engage More ❯

this one's for you. Tech Stack & Approach Modern JavaScript/TypeScript full stack (NodeJS microservices, Vue.js) AWS cloud environment with Redis, SQL Server, Snowflake CI/CD deployment, agile processes, SOLID principles, automated testing Strong emphasis on clean, maintainable code and security best practices Your Role Turn user stories More ❯

into practical roadmaps, plans and delivery Knowledge of some of the specific technologies we leverage would be an advantage and these are; Python, SQL, Snowflake, Tableau, Airflow, Amazon SageMaker, Kafka and React More ❯

technologies. Skills and experience required: Minimum of 8+ years' experience in data engineering, with at least 3 years in a leadership capacity. Experience with Snowflake and Matillion preferred. Hands-on experience with large-scale real-time and batch data pipelines. Experience with Azure cloud platform, and security concepts i.e. Keyvault More ❯

data pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner More ❯