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 »
of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc. The Lead Data Architect will liaise with clients to define requirements, refine solutions and ultimately hand more »
for achieving project success. Key Responsibilities: Software Development: Write high-quality, maintainable code using languages such as Python and SQL Establish data tools like Snowflake and Azure Data Lake Services (ADLS) Gen 2 Utilize PowerBI, Tableau, or similar tools to design and create interactive and visually appealing dashboards and reports. 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 »
for achieving project success. Key Responsibilities: Software Development: Write high-quality, maintainable code using languages such as Python , SQL . Establish data tools like Snowflake and Azure Data Lake Services (ADLS) Gen 2 Utilize PowerBI, Tableau, or similar tools to design and create interactive and visually appealing dashboards and reports. 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 »
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 »
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 »
London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London more »
London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience working with Marketing Ecosystems Hybrid working with more »
and investigatory skills. with RDBMS systems with the vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change more »
tooling, automating security operations, and policy as code. • Ideally, experience in securing GitHub or similar platforms. • Ideally, experience in securing data platforms (e.g., Databricks, Snowflake). • Experience in securing Kubernetes (ideally AKS) and container security. • Knowledge of Threat Modelling and relevant frameworks such as ISO 27001, Cyber Essentials Plus, and more »
play a pivotal role in developing a new marketplace platform from the ground up, utilizing a blend of leading technologies such as Salesforce, Adobe, Snowflake/Databricks, and Zuora. This role requires a strategic thinker who can align technology initiatives with business goals, ensuring scalability, integration, and consistency across systems. more »
A highly prestigious Investment Management firm are looking to hire a Senior Cloud Data Engineer with strong Python and Snowflake experience to join their new Data & AI team in a permanent position. The Cloud Data Engineer will join alongside Data Scientists and Data Modellers to manage and improve the cloud … based Data Warehouse (Azure, Snowflake), and guide the organisation through an unprecedented period of data change. Your Key responsibilities will be: Engineering scalable and secure cloud data solutions for high-performance Data Science workloads and Generative AI applications Enhancing and managing the cloud-based Data Warehouse (Azure, Snowflake) Designing, building … you will have: 5+ years' experience in cloud data engineering, with specific experience in building and maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to more »
Company Description Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle more »
