26 to 50 of 93 Amazon Redshift Jobs in England

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 »

and reporting. • Specialised in AWS cloud technologies for ETL, data warehouse, and data lake design. • Hands-on experience with AWS services like EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. • Capable of processing large volumes of structured and unstructured data on AWS. • Familiarity with AWS best practices in data engineering, data 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 »

cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical more »

with suppliers like Snowflake, FiveTran, and dbt. Requirements: Proven experience leading and mentoring data engineering teams. Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL. Extensive knowledge of data management and Data Ops (ingestion, pipelines, CI/CD). Strong project management skills in a more »

a deep understanding of enterprise software environments, especially Cloud/SaaS analytics/Data warehouse and Business Intelligence solutions, applications & technologies including BigQuery, Snowflake, Redshift, and Databricks. Commercial acumen: you are deeply data-driven and care about what moves the needle for pipeline creation, rather than focusing on vanity more »

join their 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 more »

within the music industry. Requirements To qualify for this role, you will require: · Strong experience with SQL and Tableau · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £52,000 · Excellent progression opportunities Process- two interview stages 1st Stage more »

player who can work independently or lead a team as required. Strong knowledge of 3DS Max/Maya or C4D, Corona/VRay/Redshift, After Effects, Photoshop. Understanding of film language and shot selection. Knowledge of SideFX Houdini. Knowledge of Tyflow (if 3DS Max user) Benefits include: Salary more »

ANALYTICS ENGINEER CENTRAL LONDON, HYBRID £55,000 - £75,000 THE COMPANY A dynamic payments business dedicated to facilitating money transfers to 2nd and 3rd-world countries. They use data to democratize financial services, making it accessible, inexpensive, and secure for more »

build relationships based on trust and value. The Lead Data Architect will design and implement solutions using a range 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 … aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends 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 »

Senior AWS Data Engineer UK Remote - Permanent £80,000-£90,000 Start-up, AWS, DBT, Redshift, PostgreSQL, Python, MongoDB, ELT *You must be based in the UK, and have full permanent right to work in the UK to apply for this role. No contractors will be considered!* I'm … Engineer to join the team! Specifically, they're looking for: Extensive experience as a Data Engineer using AWS Very strong ability in DBT and Redshift Proven experience working in an autonomous, start-up environment (ideally financial sector) Expert ability with PostgreSQL , ELT , unstructured data, and MongoDB . Experience with more »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters more »

on several key HR practices including Diversity and Inclusion. Role Sr. Data Architect Key Responsibilities Help customers learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion ToolDeliver on-site technical engagements with customers. This includes understanding customer requirements, contributing to internal Area … of Depth (AoD) programs, and creating packaged data service offerings Assess and optimize the customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift Engage with the customer’s business and technology stakeholders … making recommendations to optimize performance Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math Ability to evaluate and plan migrations to Amazon Redshift One of the AWS Associate level certifications or AWS Certified Cloud Practitioner Extensive hands-on experience in leading large-scale full-cycle more »

Data Lake Engineer Key Responsibilities Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service more »

and insights to stakeholders; experience with BI tools such as Looker is highly advantageous Experience working with cloud data warehouses, ideally with AWS/Redshift, Azure, GCP, or Snowflake Experience with dbt is highly advantageous Responsibilities Analyze, organize, and prepare raw data for modeling and data analytics Architect and more »

Rust is a plus). Familiarity with ETL principles in contemporary data applications (Dagster, Airflow, Perfect). Familiarity with AWS services such as Glue, Redshift, Athena, and S3. Proficiency with Terraform, Kubernetes, and ArgoCD (expertise not required; cloud team support available). Thorough understanding of software engineering techniques, including more »

role, with a strong focus on data architecture and management. In-depth knowledge of AWS data services, including but not limited to S3, RDS, Redshift, DynamoDB, Glue, Athena, Lambda, EMR. Proficiency in designing and implementing ETL processes, data pipelines, and data integration workflows. Strong understanding of data modelling, database more »