76 to 100 of 409 Snowflake Jobs in the UK

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement More ❯

Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other More ❯

on backend technologies and building distributed services. Proficiency in one or more programming languages including Java, Python, Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with More ❯

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for More ❯

DBT Data Engineer (Snowflake, Azure) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced DBT Data Engineer to join a major insurance client engagement . The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics and … deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview You'll be part of a growing data engineering function focused on DBT model development , Snowflake optimisation , and data governance across multiple data domains.This role suits a technically strong engineer with proven DBT Cloud experience who can take ownership of data pipelines and drive best practices … in transformation, testing, and automation. Key Skills & Experience Deep DBT Cloud expertise, including models, macros, tests, documentation, and CI/CD integration. Hands-on experience developing and optimising in Snowflake Cloud Data Warehouse (schemas, warehouses, security, time travel, performance tuning). Familiarity with Snowflake cost monitoring, governance, replication , and environment management. Strong understanding of data modelling (star/snowflake schemas More ❯

as Pandas, NumPy, PySpark, etc. · 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines · 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions · 3+ years of experience in data development and solutions in highly complex data environments with large data volumes. Experience with code versioning tools More ❯

business problems, including Generative AI applications What we’re looking for: Hands-on expertise in Python, SQL, Spark, Airflow, Terraform Proven experience with cloud-native data platforms (AWS, Databricks, Snowflake) Strong track record of mentoring or coaching other engineers Knowledge of CI/CD tooling (Git, Jenkins or similar) Experience in batch and real-time data processing Exposure to data More ❯

Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform, etc. (Preferred but not mandatory) Experience in Designing Solutions, Requirements Gathering, Team Leadership, Training & Development, Technical Document Preparation, and Object Oriented Analysis. Experience in engineering and software More ❯

through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring: Demonstrable experience in analytics within a professional environment. Ability to craft compelling, clear, and engaging stories with data. More ❯

including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native More ❯

including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native More ❯

tick all of these areas: Knowledge and interest in financial services and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like More ❯

driven decisions that deliver measurable client and business outcomes. You’ll design, build, and maintain data pipelines, analytics models, and Power BI dashboards, integrating data from systems such as Snowflake, SQL databases, Bloomberg, and SimCorp. Sitting directly with the Investment Management team, you’ll work closely with both business and technology stakeholders, ensuring best practices in data governance, quality, and … automation. Key Responsibilities: Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations teams. Create and optimise data models for analytics and decision-making. Ensure data accuracy, lineage, and governance across systems. Automate manual workflows to … enhance reporting efficiency. Collaborate with teams across Investment Management and Technology to deliver scalable, data-driven solutions. Skills & Experience: Strong Python and SQL skills; experience with Snowflake or other cloud data warehouses. Proven experience building dashboards and reports in Power BI (DAX, Power Query). Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.). Familiarity with More ❯

driven decisions that deliver measurable client and business outcomes. You’ll design, build, and maintain data pipelines, analytics models, and Power BI dashboards, integrating data from systems such as Snowflake, SQL databases, Bloomberg, and SimCorp. Sitting directly with the Investment Management team, you’ll work closely with both business and technology stakeholders, ensuring best practices in data governance, quality, and … automation. Key Responsibilities: Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations teams. Create and optimise data models for analytics and decision-making. Ensure data accuracy, lineage, and governance across systems. Automate manual workflows to … enhance reporting efficiency. Collaborate with teams across Investment Management and Technology to deliver scalable, data-driven solutions. Skills & Experience: Strong Python and SQL skills; experience with Snowflake or other cloud data warehouses. Proven experience building dashboards and reports in Power BI (DAX, Power Query). Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.). Familiarity with More ❯

evolving their lakehouse/warehouse layers & enable fast, trustworthy analytics for multiple teams. Tech you'll be working with: AWS - including S3, Redshift, Athena & Glue Python GCP BigQuery BigQuery, Snowflake, Redshift, Airflow, dbt SQL Contract Details: Data Engineer 6 Months - extensions likely Fully Remote (UK) £400 - 450/day Outside IR35 ASAP Start - 1 stage Interviews If you're interested More ❯

delivery practices Support pre-sales and contribute to service development What We're Looking For: 7+ years in analytics with proven delivery leadership Strong skills in cloud data platforms (Snowflake, Azure, AWS, or GCP), SQL, and data modelling Experience with BI tools like Power BI, Tableau, or Looker Familiarity or interest in AI and data science techniques (LLMs, predictive models More ❯

Python programming, including experience in writing efficient and maintainable code. Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines Proficiency in working with Snowflake or similar cloud-based data warehousing solutions Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices Previous exposure to big data technologies (e.g., Hadoop More ❯

Management Desirable: Knowledge of front office platform and workflows: OMS, PMS and risk engines (note this client use Aladdin) Experience with ETF platforms and fund lifecycle processes Familiarity with Snowflake, Python and event driven architecture Exposure to regulatory reporting, ESG data pipelines or performance attribution systems Rate & Duration: Rate: £600 - £700 Per Day Location: London (Hybrid) Duration: 12 Months Software More ❯

Management Desirable: Knowledge of front office platform and workflows: OMS, PMS and risk engines (note this client use Aladdin) Experience with ETF platforms and fund lifecycle processes Familiarity with Snowflake, Python and event driven architecture Exposure to regulatory reporting, ESG data pipelines or performance attribution systems Rate & Duration: Rate: £600 - £700 Per Day Location: London (Hybrid) Duration: 12 Months Software More ❯

maintain detailed project documentation, including business requirements, process flows, and Data models. Working knowledge of structured, unstructured and MetaData. Familiarity with Data pipelines for cloud environments (Azure, GCP, AWS, Snowflake). Awareness of medallion architecture (Gold, Silver, Bronze). Previous experience creating Data requirements for Data Engineers/Data Scientists. Proficiency in Data Analysis tools such as SQL, Python and More ❯

maintain detailed project documentation, including business requirements, process flows, and Data models. Working knowledge of structured, unstructured and MetaData. Familiarity with Data pipelines for cloud environments (Azure, GCP, AWS, Snowflake). Awareness of medallion architecture (Gold, Silver, Bronze). Previous experience creating Data requirements for Data Engineers/Data Scientists. Proficiency in Data Analysis tools such as SQL, Python and More ❯

maintain data pipelines implementing ETL processes Partner closely with data and BI team Support with data governance policies About You Proven experience in Azure Data Factory, SQL Server and Snowflake Strong understanding of ETL methodology Good knowledge of non-structured database solutions Experience in Data Modelling and Data Development On Offer Salary - up to £55,000 Remote working - occasional travel More ❯

pressures Able to follow best practices and adapt, even without established iteration management Desirable DBT Previous experience of working with D365 data API Integration (OData ideally) Basic accounting knowledge Snowflake This assignment is signed off and approved with the hope of getting someone started ASAP and before Christmas. Day rate is dependent on experience and expected to be in the More ❯