experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »
experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices 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 »
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 »
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 »
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 typical more »
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 typical 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 »
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 »
databases ( SQL ) and database design principles and familiarity with RDBMS (Relational Database Management Systems). Experience working with cloud-based data warehousing solutions like Snowflake and data lake architectures. Experience in designing, developing, and maintaining data pipelines for efficient data movement. Experience with message brokers like Kafka or RabbitMQ Familiarity 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 »
Data platforms using Azure Cloud architecture with structured and unstructured data source Other Comprehensive knowledge of Microsoft BI suite preferred Knowledge of MuleSoft and Snowflake is preferred 1+ years of experience in cloud-based solutions and associated technology, including AWS, GCP, OpenStack, Cloud Stack, IBM Cloud, Adobe Cloud preferred Why more »
Data platforms using Azure Cloud architecture with structured and unstructured data source Other Comprehensive knowledge of Microsoft BI suite preferred Knowledge of MuleSoft and Snowflake is preferred 1+ years of experience in cloud-based solutions and associated technology, including AWS, GCP, OpenStack, Cloud Stack, IBM Cloud, Adobe Cloud preferred Why more »
M50, Trafford Park, Trafford, Greater Manchester, United Kingdom
Hoist Finance
e.g. SQL Server, Oracle, MySQL, PostgreSQL) Knowledge of BI Stack design and implementation Any knowledge in some of the following areas is an advantage:- Snowflake, DBT, Azure Technologies including Azure Data Factory, Azure Data Lake, Azure DevOps, Powershell, GIT, Python. Excellent communication and interpersonal skills As a Data Engineer you more »
Employment Type: Permanent
Salary: £40000 - £45000/annum + Car Allowance + Bonus
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 »
and 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, AWS).Familiarity 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 »
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 »
