1 to 25 of 35 Permanent Amazon Redshift Jobs in England with Remote Work Options

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/life balance. Joining more »

unique opportunity for someone to enhance their Digital Consulting career. What you’ll do and bring: Primary skill : Cloud services like S3 lambada Glue redshift Knowledge of database administration and implementation including Amazon Relational Database Service Amazon RDS and Amazon DynamoDB Experience with automation and configuration more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

and improve existing data designs and data models, including relational table structures, using Unix Shell Scripting, Oracle, SQL Server, Azure SQL Data Warehouse, or Amazon Redshift Support and learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical more »

forward. THE ROLE Work closely with the product team, and influence the product roadmap through insight recommendations Querying datasets from BigQuery and/or Redshift to understand how users are interacting with products Day-to-day product analytics, measurement, and reporting Setting up and running A/B tests more »

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 - 3x a week in the more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

increasingly complex world of interconnected platforms, the Data Manager will ensure that the data stack - built around the Segment customer data platform and our Amazon Redshift data warehouse - is delivering for our analysts, marketers, product specialists and leadership team. This will involve optimisation and governance on how new … product owner for data privacy and data engineering projects, driving the data roadmap including initiatives around tracking, privacy, CRM, and BI. Responsibilities: Manage the Redshift data warehouse, ensuring all analytics use-cases are catered for Developing and maintaining a robust tracking plan Configuring new integrations and optimising existing integrations more »

be used across Live Support systems wherever required: Technologies – Role is Grafana Dashboard focused. Denodo/Talend/PDI/Git/MySQL/Redshift/Grafana Dashboard creation/consolidation Gathering requirements, understanding the service and delivery alerts to suit Skills must have: FTE ideally should have experience more »

do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of more »

do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of more »

team, and the BBC will provide many opportunities for learning as you progress. We create and support reliable and scalable cloud-based services on Amazon Web Services, use GitHub for version control and practice pair programming and Test-Driven Development where possible. Here is the list: • Experience of modern … engineering best practices • Knowledge of software development principles, design patterns and best practices • Experience with AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift • Experience with relational and non-relational databases, data modelling and design principles. • Test Driven Development and testing practices. • Knowledge of infrastructure-as-code tools more »

compiling it into a digestible and actionable format • Participate in strategic & tactical planning discussions BASIC QUALIFICATIONS • 5+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modelling, warehousing and building ETL pipelines • Experience … or data warehouse and scripting experience (Python) to process data for modelling PREFERRED QUALIFICATIONS • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets more »

for a DBA expert at a growing financial technology firm! You’ll also be important in the drive towards more Cloud, AWS Aurora and RedShift usage and the build out of these technologies. Requirements: Strong knowledge of SQL Server admin and engineering Proven all-round database skills Good cloud … experience with AWS Knowledge of RedShift and/or Aurora is highly beneficial Experience of live transactional systems and/or live consumer products is ideal Solid knowledge of database security more »

a growing FinTech! You’ll also be key in the drive towards more AWS and Cloud usage and the build out of Aurora and RedShift databases. Requirements: Strong knowledge of SQL Server gained over a number of years. Proven database administration and engineering skills Experience of live transactional systems … and/or live consumer products is ideal Good cloud experience with AWS Knowledge of RedShift and/or Aurora is highly beneficial Solid knowledge of database security more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »