1 to 25 of 38 Permanent Snowflake Jobs in the City of London

practices and compliance frameworks (e.g., GDPR). Experience working with sensitive corporate data. Industry Knowledge: Experience within the insurance industry is required. Technologies & Tools Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred). Microsoft Azure , including Azure Synapse and Azure DevOps. Microsoft SQL Server tools , including ...

EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery ...

requirements and translate them into model updates Skills & Experience You should have: Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power ...

Power Automate) Deep knowledge of data visualisation principles and storytelling best practice Confident SQL ability Experience working with cloud analytics platforms such as Databricks, Snowflake, or BigQuery Background delivering automated workflows or pipelines using tools like Airflow or Databricks Previous experience leading teams within agile frameworks, managing priorities, and working ...

Power Automate) Deep knowledge of data visualisation principles and storytelling best practice Confident SQL ability Experience working with cloud analytics platforms such as Databricks, Snowflake, or BigQuery Background delivering automated workflows or pipelines using tools like Airflow or Databricks Previous experience leading teams within agile frameworks, managing priorities, and working ...

Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate ...

Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate ...

Experience. Expert SQL and strong Python or R skills. Proven experience with Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark). Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred). Experience with call centre or digital support KPIs ...

optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. You’ll thrive if you are able to bring: Bring ...

tools across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with ...

Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualizations ...

Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate ...

deliver fast, responsive reports Excellent communication skills, with the ability to bridge technical and non-technical audiences Experience working with cloud data platforms (Snowflake experience is highly desirable) Power BI or Microsoft BI certifications (advantageous but not essential) Familiarity with ERP and enterprise management systems such as SAP, Oracle, PeopleSoft ...

statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. ...

design, not just pipelines) DevOps MLOps/LLMOps Technologies you’ll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks, Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks: MLflow, AzureML, LangSmith ...

platform aligns with long-term objectives. In this Senior Data Engineering role, you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will ...

tools. Apply strong understanding of the Power BI calculation engine and performance tuning techniques. Data Engineering & Integration Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint , and other enterprise systems. Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems. Conduct data validation, quality checks, and impact assessments ...

define and track key metrics, build dashboards, and analyse customer behaviour to support product development. Using tools such as Google Analytics 360, Looker, and Snowflake, you’ll ensure our teams have the data they need to measure performance and make informed decisions. You’ll also contribute to our experimentation ...

deliver impactful AI and GenAI solutions. The Opportunity: Lead the enhancement, enablement, and optimisation of a modern data platform, with a strong focus on Snowflake, Fivetran, and DataOps tooling. Work across ETL, data warehousing, ML, automation, and governance to deliver scalable, high-quality data solutions. Drive best practices in security ...

knowledge of statistical modelling, including regression techniques, MMM, and A/B testing. Proficiency in SQL and familiarity with modern data warehousing platforms (e.g., Snowflake). Strong capability in Python or R for analysis, modelling, and automation. Skilled in data visualisation tools such as Looker or Tableau. Excellent communication skills ...

Airflow). Desirable Disaster recovery and cloud security best practices. Experience in research, life sciences, or health data environments. Data sharing agreements and DPIAs. Snowflake experience. Terraform or Bicep/ARM proficiency. Azure, AWS, Kubernetes, or security certifications (e.g., AZ-305, AZ-500, CKA/CKS, CISSP, CCSP). Ready ...

significant experience in: Complex programme planning and delivery in the data and AI domains Data platform and engineering technologies and services such as Databricks, Snowflake, Palantir. Data services from major cloud providers such as Google Cloud, AWS, and Microsoft Azure. Designing and deploying robust, scalable, and secure cloud-based solutions ...

familiarity with MMM tools (e.g., PyMC, Robyn, Meridian) • Understanding of marketing channels, metrics, and retail/luxury environments • Experience with cloud platforms (AWS, GCP, Snowflake) • Ability to work cross-functionally and communicate complex concepts clearly • Knowledge of incrementality testing (e.g., GeoLift) is a bonus Details • Start date: ASAP • Contract ...

this role, you’ll sell into finance, insurance, retail/eCommerce, and professional services backed by powerhouse partners like AWS, Azure, GCP, Databricks, and Snowflake while shaping and closing complex, high-impact service engagements. With uncapped earnings, double OTE, and soaring demand for AI, cloud, and modernisation services, this ...

related technical roles, ideally within financial technology environments. Strong technical expertise with Python, Unix, PostgreSQL, and familiarity with Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB or equivalent technologies. Proven experience designing and implementing monitoring and alerting tools (DataDog, Grafana). Solid experience with AWS Cloud Infrastructure and related operational ...