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 »
Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL Server, MySql, PostgreSQL, Oracle, Snowflake, Vertica, etc). Ability to write efficient and robust queries. Familiarity with DevOps process for model deployment and unit testing. Experience of work in cloud more »
technologies and tracking the technology innovations applicable to the solutions. Proven experience of working effectively with senior business stakeholders Experience of using tools including Snowflake, DBT, ADF and Azure Synapse Ability to lead teams and projects towards a common architecture approach and language. Strong communication and collaboration skills. Additional Information more »
data and information systems design Experience with data management, database management systems, data services (including APIs), and enterprise data platform technologies (e.g. Fabric, Databricks, Snowflake, etc.) Experience architecting data-centric solutions at a conceptual, logical and physical level Experience in architecting, designing and implementing solutions on AWS and Microsoft Azure 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 »
build 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 »
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 »
Advanced knowledge of data visualization tools and dashboard design experience essential (Tableau preferred) Experience in the use of large databases and data warehouses required (Snowflake preferred) Experience with transitioning and deploying data science and quantitative models to Production environment required along with exposure to Agile development process -- ability to articulate more »
in Docker Good experience in Linux Good experience in Airflow Good knowledge of cloud architecture Good experience in Terraform Expert experience with database systems (snowflake, sql, postgres etc.) Experience of micro-service development and API development Strong understanding of Agile delivery methodologies Demonstrable ability to design and deliver complex systems more »
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 »
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 »
BI A background in Data Engineering would be beneficial to show programming aptitude (SQL proficiency/data warehousing practices). Azure Data Factory or Snowflake Experience within a Real Estate Investment environment is beneficial The client will offer a three-day hybrid working policy on site, which has potential flexibility more »
experience designing data pipelines/warehouses using AWS and Snowflake. Exposure to big data technologies such as Kafka, Spark, or Hadoop. Solid experience with Snowflake, including performance optimisation and cost management. Strong experience with SQL and Data modelling. Excellent understanding of AWS architecture and the ability to design effective, scalable more »
e.g., Research Pricing, recommendation systems) Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, Docker Proven Experience working across Data platforms (e.g. Snowflake, Databricks) Strong Stakeholder Management experience This is an exciting opportunity to join a leading Exchange within an exciting area of the business working on a more »
Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, DockerProven Experience working across Data platforms (e.g. Snowflake, Databricks)Strong Stakeholder Management experienceThis is an exciting opportunity to join a leading Exchange within an exciting area of the business working on a pivotal more »
achieving project success. Key Responsibilities: 1. 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
InterEx Group
definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech 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 »
systems onto the cloud platforms, one of the key strategies for the division in which you’ll get exposure to technologies like AWS S3, Snowflake, EMR etc. These are great roles playing a role on some really big interesting projects. more »
London, England, United Kingdom Hybrid / WFH Options
Chapman Tate Associates
Salary: £60,000 - £70,000 + 12.5% Bonus Key areas: SQL Data Engineer, Azure Data Engineer, Azure Data Factory, Azure Databricks, Azure Data Services, Snowflake, SQL Server, Data, BI, BI Development, MS BI Chapman Tate is collaborating with a leading Housing Association that is revolutionizing the industry through innovative data more »
one BI platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies more »
experience in Computer Science or a related field Development experience with Python - (at least 2) Experience with cloud computing, ideally Azure Experience with ideally Snowflake or Linux, Javascript, C# or Powershell Ideally prior experience in the financial industry Excellent stakeholder management skills Benefits: Up to £70,000 with bonuses Exceptional more »
South East London, England, United Kingdom Hybrid / WFH Options
Revolution Technology
/Requirements:Must have Python & Spark experienceMust have strong AWS experienceMust have Terraform experienceSQL & NoSQL experienceHave built out Data Warehouses & built Data PipelinesStrong Databricks & Snowflake experienceDocker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to haveContracts are running for 6 months initially, paying up to £450p/ 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 »
