51 to 75 of 517 Snowflake Jobs in England

and 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 Azure More ❯

and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory 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 . More ❯

based hybrid in London with a minimum of 3 days in-office. As an Analytics Engineer, you will: * Work with cutting-edge technologies including Snowflake, DBT, SQL, Azure/AWS, and Data Vault * Design and maintain scalable data models, pipelines, and validation processes * Collaborate with engineers, architects, and stakeholders to More ❯

6+ years of experience in data engineering within large-scale digital environments. Strong programming skills in Python, SQL, and Spark (SparkSQL) . Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such as Athena, Glue, and EMR. More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯

architectures . Solid understanding of AWS services and DevOps principles. Passion for writing clean, maintainable code and improving team practices. Nice-to-Have Skills Snowflake/Data Warehousing DevOps & CI/CD experience GraphQL Benefits Competitive salary Pension & private medical (after probation) Employee discounts and more Ready to make an More ❯

architectures . Solid understanding of AWS services and DevOps principles. Passion for writing clean, maintainable code and improving team practices. Nice-to-Have Skills Snowflake/Data Warehousing DevOps & CI/CD experience GraphQL Benefits Competitive salary Pension & private medical (after probation) Employee discounts and more Ready to make an More ❯

Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and Teradata Responsibilities: Serve as the primary point of contact for all AWS related data initiatives and projects. Responsible for leading a More ❯

or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career path in More ❯

or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career path in More ❯

technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta More ❯

this role. Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage. Preferred Qualifications: Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus. Certification in database technologies or testing methodologies. Knowledge of scripting languages like Python or Shell scripting for test automation. Work Environment: Hybrid More ❯

this role. Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage. Preferred Qualifications: Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus. Certification in database technologies or testing methodologies. Knowledge of scripting languages like Python or Shell scripting for test automation. Work Environment: Hybrid More ❯

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, Azure, Kubernetes, SQL Server, Snowflake, Jira, Bitbucket, Git, CI/CD, DevOps Engineer, Urgent) I'm recruiting on behalf of a leading FinTech company in Newcastle that is looking for a talented DevOps Engineer to join their growing team. This is a More ❯

mentoring or supporting the development of team members. Azure SQL DB, Data Factory, Data Lake, Logic apps, Data Bricks (Spark SQL) and/or Snowflake experience is advantageous. More ❯

and trade data. Strong analytical and technical skills, particularly in: SQL (writing queries, data extraction and manipulation) Microsoft Excel (advanced) Power Apps Experience with Snowflake or similar cloud-based data warehouses Data modelling and architecture documentation Experience in Agile delivery methodologies (Scrum, Kanban). Familiarity with tools such as Azure More ❯

and trade data. Strong analytical and technical skills, particularly in: SQL (writing queries, data extraction and manipulation) Microsoft Excel (advanced) Power Apps Experience with Snowflake or similar cloud-based data warehouses Data modelling and architecture documentation Experience in Agile delivery methodologies (Scrum, Kanban). Familiarity with tools such as Azure More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or More ❯

hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical More ❯

hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical More ❯

skills. Desirable Exposure to BI/visualisation tools such as Power BI, Looker, or Tableau. Familiarity with cloud-based data platforms (e.g. AWS, BigQuery, Snowflake). Understanding of API integrations and automated data syncing. Knowledge of inventory forecasting or supply chain data structures. The Role This is a pivotal opportunity More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯