13 of 13 Snowflake Jobs in Central London

Helping shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self ...

Helping shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self ...

experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data governance, validation, and compliance ...

What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality ...

Airflow). - Knowledge of Big Data technologies (Spark, Hadoop, Kafka). - Strong understanding of API-based integrations. Preferred Skills: - NoSQL experience (MongoDB, DynamoDB). - Snowflake/Redshift/Databricks exposure. - CI/CD for data platforms (GitLab, Terraform, CloudFormation). - Data governance and security frameworks. ...

translate business needs into well-structured data models Skills & Experience: You should have: Advanced SQL skills and strong experience with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Extensive hands-on experience using dbt to build and manage analytics models Deep understanding of dimensional modelling and analytics engineering best practice Experience ...

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 ...

Automate, Power BI, Power Virtual Agents) Strong Data Engineering background - specifically with Azure Data Factory ETL, Matillion ETL and SQL Experience designing and managing Snowflake Data Warehouse solutions Strong experience with Qliksense, data modelling and self-service analytics Experience in API Development What you'll get in return An exciting ...

Automate, Power BI, Power Virtual Agents) Strong Data Engineering background - specifically with Azure Data Factory ETL, Matillion ETL and SQL Experience designing and managing Snowflake Data Warehouse solutions Strong experience with Qliksense, data modelling and self-service analytics Experience in API Development What you'll get in return An exciting ...

must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. ...

technical and non‐technical stakeholders. Work collaboratively with engineers, architects, and transformation teams. Operate confidently within enterprise‐scale data platforms. Exposure to Databricks or Snowflake is advantageous. Experience in Life & Pensions insurance (or broader insurance domains) is highly preferred. Ideal Candidate Profile Strong experience in analytics with advanced problem‐solving ...

lending/risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £40,000 – £45,000 salary Hybrid working in London ...

TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market insight, technology trends, and competitor intelligence Experience in proposal management ...

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. ...

Skills & Experience 5+ years as a Data Engineer or similar role. Strong SQL and data modeling skills. Hands-on experience with cloud data warehouses (Snowflake, BigQuery, Databricks). Proficiency with ELT tools (dbt, Fivetran, Matillion) and orchestration frameworks (Airflow, Prefect). ...

. Hands-on skills in data pipelines, ETL/ELT, distributed processing, APIs and data architecture. Experience with modern tooling (Databricks, Spark, Synapse, Snowflake, BigQuery, Kafka etc.). Excellent client-facing skills with the ability to lead technical and strategic conversations. Consulting experience and confidence working in complex, evolving client ...

data modelling Experience delivering large-scale data transformation programmes Strategic mindset with strong commercial acumen Desirable : Experience with modern data stack technologies (Databricks, Snowflake, etc.) Knowledge of DataOps and MLOps practices Previous experience in consumer-facing industries If you are an experienced data engineering leader with FMCG sector experience ...

simulators . 2. MLOps, Quality & Productionisation Design and implement robust CI/CD and MLOps pipelines using platforms such as Databricks, MLflow, Unity Catalog, Snowflake, and Azure ML. Establish model observability across performance, drift, cost controls, and operational reliability . Apply AIOps practices to enable automated retraining, rollback, and compliance ...

Professional certifications such as PMP, PRINCE2, or Agile (CSM, PSM, PSPO, SAFe) are highly desirable. Exposure to cloud-based data platforms (e.g. AWS, Azure, Snowflake, Databricks) and integration processes. Benefits and Perks Highly competitive salary that rewards high performers. Shareholding in Transform Together. Training opportunities and incentives, improving yourself through ...

management organisations . Knowledge of real estate financial concepts (IRR, NPV, cash flows, lease structures). Familiarity with data & analytics platforms (Power BI, Tableau, Snowflake, BigQuery). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

functional teams to communicate and contribute to impactful transformation initiatives. Comfortable working with complex datasets and enterprise-scale data environments Experience in databricks and snowflake is advantageous BPA (Bulk Purchase Annuities) knowledge is advantageous but not essential. This role required with an immediate start due to the urgency of delivery ...

commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient ...

skills and experience required: Proven experience in a Data Engineering Manager or Lead Data Engineer role Strong SQL development skills, with experience using Snowflake highly desirable Strong hands-on experience working within Microsoft Azure environments, including Azure Data Factory and Azure DevOps Experience leading and developing engineering teams Exposure ...

platforms Familiar with Agile/Scrum methodologies Excellent communicator across technical and non-technical teams Analytical mindset with attention to detail; experience with Snowflake, Databricks, SQL, Python, Tableau, or Power BI is a plus This role offers a chance to make a meaningful impact within the business, if you would ...

data storytelling capability Hands-on experience with SQL, Python, and BI tools (Power BI preferred) Familiarity with modern cloud data platforms (e.g. AWS, Snowflake) Experience managing and developing senior data professionals Comfortable operating in a fast-paced, evolving environment HOW TO APPLY: Apply by sending your ...