26 to 50 of 114 Permanent Snowflake Jobs in London

Spark experience Must have strong AWS experience Must have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake experience Docker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to have Contracts are running for 6 months initially, paying up to more »

an extremely fast paced environment. Within this role, you will be responsible for building data pipelines for a cloud-based warehouse using Azure and Snowflake, enhancing data capabilities for analytics and science. What you need: 3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing more »

Skills & Experience: - Experience working within a global organisation - Google Cloud Platform (GCP) - Background using Airflow/Cloud Composer with Python - Cloud-Based data platforms, Snowflake or BigQuery - Advanced SQL - Data Transformation tools, DBT - CI/CD - TDD If you're open to exploring this opportunity and believe your skills align more »

best practices. A team player with excellent communication & collaboration skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you more »

solutions including the choice of data sources and ETL approach Familiar with engineering processes for developing APIs Understanding the principles of building solutions using Snowflake, open-source frameworks, multi-cloud infrastructure In Return: A bonus scheme that pays up to 20%, and a benefits package that is one of the more »

analysis, and propensity modelling. Strong communication skills for creating user-friendly solutions for stakeholders. Desirable: Knowledge of cloud platforms and ML Ops. Familiarity with Snowflake, GitHub, AWS, Acoustic. Data visualization experience (preferably Power BI). Interview Process: 1st - Intro Call 2nd - Technical Q&A/Final If you're interested more »

CD. professional experience with SQL and data transformation, ideally with dbt or similar. with at least one of these Cloud technologies: AWS, Microsoft Azure, Snowflake, GCP. Apply to the Role Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply more »

experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for: Experience implementing Machine Learning models and familiarity with large language models. Knowledge of cloud-based solutions on major providers (Azure, GCP more »

their investment models. Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a more »

total experience in DWBI, Big Data, Cloud Technologies • Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks • Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache more »

automation, data visualization tools, DevOps practices, machine learning frameworks, performance tuning, and data governance tools. Technical proficiency in Microsoft Azure SQL (PaaS & IaaS), CosmosDB, Snowflake Data Warehouse, Power Apps, Reporting Services, Tableau, T-SQL, Python Programming, and Azure Purview. If you're ready to join a dynamic team and drive more »

for 5 or more consecutive years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e.Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing more »

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at more »

Engineer Experience working with AI frameworks and libraries (PyTorch) Confidence collaborating in a complex and cross-functional teams Strong skills with: AWS, Python, Airflow, Snowflake Interested ? Apply now or reach out to daisy@wearenumi.com for further details and a chat more »

Brokerage would be good) Experience integrating with 3rd-party APIs Experience with AWS for writing systems on, or tooling Experience working with Kafka and Snowflake (nice to have) Prior experience working with a mid-early stage fintech start up (nice to have) Experience with standard tooling for big data (nice more »

environment ☁️ 🔹 Proven ability to design, implement, and utilize various database structures with a focus on cloud-based data services such as Azure, Databricks, and Snowflake ❄️ 🔹 Experience in building ETL/ELT data pipelines and applying DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment 🔄 If more »

as well as maintaining a hands on involvement in day to day tasks Strong SQL & Python, Dbt Expertise in data warehouses such as Redshift, Snowflake, AWS If you are interested in this or other Analytics opportunities please contact Liam Wilson on liam.wilson@xcede.com or +44(0) 203 871 6363. Unfortunately more »

SSIS, Talend or Pentaho • Data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as more »

design, implement and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be more »

emphasis on AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. Hands on experience on design solutions using Snowflake and DBT. Familiarity with Databricks or Informatica. Hands on experience in designing data models aligned to functional and non-functional requirements, and business objectives. Expert more »

required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues at every level more »

Loans and SWIFT payments Experience with analytical or database querying software such as SQL and Python along with cloud technology such as AWS and Snowflake Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability more »

have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like Google BigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong SQL but more »

Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage- Short Conversation with more »

you are looking for a new challenge, please submit your CV for initial screening and more details. Data Architect Desired Skills and Experience AWS|Snowflake|ETL more »