201 to 225 of 1,970 Snowflake Jobs in the UK

maintaining large-scale data pipelines and ETL processes Strong programming skills in Python, SQL, and experience with modern data tools (Spark, Airflow, dbt) Experience using Databricks, Azure, AWS, and Snowflake Track record of leading technical teams and mentoring junior engineers Excellent communication skills and ability to translate business requirements into technical solutions What's in it for you: Salary of More ❯

ML) Tool selection, cost management and team management Experience required: Experience in building and scaling BI and Data Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

effective dashboards and reporting solutions for effective decision making. Familiarity with data product development methodologies and data monetisation strategies. Experience with one or more cloud data platforms such as Snowflake, Databricks, or cloud-native data services in Azure, AWS, GCP. Demonstrable experience in leading or delivering large data migrations and/or transformation programmes. Key Consulting Competencies Exceptional interpersonal skills … Desirable Qualifications: Sector Experience – Significant experience in one or more of the following sectors: Banking, Wealth & Asset Management, Insurance, Healthcare & Lifesciences, Energy & Utilities, Public Sector. Data Platforms – Certifications in Snowflake, Databricks, Microsoft Fabric, or other industry-standard data platforms. Cloud Data Services – Certifications such as AWS Data Analytics Specialty, Azure Data Engineer, Google Professional Data Engineer. Additional Information Our commitment More ❯

. Tool selection, cost management, and team management. Experience required: Experience in building and scaling BI and Data Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J More ❯

feeds; experience with dbt is preferred. Experience with data warehouse design and modelling, including conceptual, logical, physical, and dimensional modelling techniques. Knowledge of cloud data warehouse technologies such as Snowflake (preferred), Google BigQuery, AWS Redshift, or Azure Synapse, and familiarity with GCP, AWS, or Azure services like cloud storage, containerisation, orchestration, and security. Experience working in Agile environments, using Scrum More ❯

Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

data modelling, profiling, and integration architecture. Experience with data warehouse development, SQL performance tuning, and managing metadata. Familiarity with Data Vault methodology and cloud platforms such as AWS, GCP, Snowflake, or Databricks. Support & Teamwork: Managing upgrades, deployments, and updates smoothly with stakeholders. Leading support incident triage and resolution on critical systems. Keeping an eye on team performance and making sure More ❯

s, or PhD in Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive salary of £80,000 + bonus More ❯

pipelines in Spark (PySpark preferred) 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 similar) Experience working in an More ❯

analytics platforms (Tableau, Power BI, Looker) to inform product decisions. About You Experienced Product Owner with strong exposure to data products and platforms. Delivery experience with enterprise data warehouses (Snowflake, BigQuery), lakes, and CDPs. Understanding of data pipelines, contracts, lineage, APIs, and data governance frameworks. Comfortable navigating GDPR, CCPA and other compliance requirements. Familiar with dbt, Airflow, and cloud platforms More ❯

for data modelling and analysis Power BI experience in a business-facing environment Nice to have: Python for data analysis or scripting Familiarity with cloud data environments (e.g. Azure, Snowflake, Databricks) If you're a BI developer with London Market experience looking to make a real impact, this is a rare opportunity to help shape a data-driven future from More ❯

s, or PhD in Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive salary of £80,000 + bonus More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary + More ❯

cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of machine learning techniques and frameworks. Experience with version control systems (e.g., Git). Familiarity with big data technologies (e.g., Snowflake, Hadoop, Spark) #J-18808-Ljbffr More ❯

engineering community. Qualifications and Skills Experience leading a small team of data engineers. Extensive knowledge as a Data Engineer. Proven success in designing and building data products on Databricks, Snowflake, GCP Big Data, Hadoop, Spark, etc. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication and team collaboration abilities. Programming skills in Python (PySpark preferred), Scala, or SQL. Experience designing More ❯

security/user management. Data Warehousing(highly desirable): Experience working on a data warehouse solution irrespective of underlying technology. Experience using cloud data warehouse technology would also be beneficial - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse. Data Pipeline(highly desirable): Demonstrable experience working with data from a wide variety of data sources including different database platforms, flat files More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

other industry leading data visualisation and BI tools such as Microsoft Power BI (Desktop, Mobile, Report Server). Project experience using any of the following technologies: SAS, Teradata, Python, Snowflake, Qlik Replicate, Qlik Compose, Hadoop, Spark, Scala, Oracle, Pega, Salesforce, Cloud (Azure, AWS, SAS Viya), RPA tools such as UiPath, Nintex, or Blue Prism. Knowledge of Enterprise ETL tools such More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

tolerant data pipelines Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery processes Hands on More ❯

to clients, including proprietary EY tools and vendor solutions, to accelerate transformation. Deploy on-shore, near-shore, and off-shore teams, collaborating with major alliance partners like Microsoft, IBM, Snowflake, Moody’s, ServiceNow, and Pega, as well as FinTech firms. Stay current with emerging technologies, investing in Cloud, Digital, Automation, and AI talent, and deploying technology to solve real business More ❯

lead the data solution to meet our requirements now and in future. Skills/Experience required: (Required) 3+ years of relevant Data Engineering experience (Preferably Databricks/Azure - or Snowflake/Redshift/BigQuery) (Required) Experience with infrastructure as code (e.g. Terraform) (Required) Proficiency in using Python both for scheduling (e.g. Airflow) and manipulating data (PySpark) (Required) Experience building deployment More ❯

tools. Understanding of Agile methodologies. Additional Skills Experience mentoring or supporting team development. Knowledge of Azure SQL DB, Data Factory, Data Lake, Logic Apps, Data Bricks (Spark SQL), and Snowflake is advantageous. More ❯