1 to 25 of 90 Amazon Redshift Jobs in the UK

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

Data Engineering, Business Intelligence or related roles Strong hands-on experience with: AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD) AI/ML Exposure ...

Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems Experience with monitoring and data quality tooling Familiarity with CI/ ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

such, I am keen to speak with candidates who have: Strong hands-on experience with AWS data engineering services such as Glue, S3, Lambda, Redshift or Athena. Advanced SQL skills for data modelling, transformation and analytics. Python experience for data processing and pipeline development. Background in data warehousing, analytics ...

Experience Strong experience in a Data Engineering or similar role Expertise in distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

using SQL, Python, and PySpark for batch and near real-time processing. Work with AWS services such as DMS, Glue, Lambda, Step Functions, S3, Redshift, Athena, RDS, EC2, and CloudWatch. Design and implement data models (Star Schema, Snowflake Schema) to support downstream BI and analytics dashboards. Perform data validation ...

improvement of data architecture and workflows Skills and Experience Experience in a Data Engineering or similar role Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

must have a proven track record of designing and implementing production-ready data warehouse solutions. Required Expertise: Expertise in data warehouse technologies (Snowflake, BigQuery, Redshift). Mastery of ETL/ELT tools and processes. Strong knowledge of SQL and data modeling techniques. Experience with cloud platforms ...

5+ years' experience within Data Engineering or related development roles * Strong SQL development and optimisation experience * Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL * Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles * Experience tuning and optimising complex queries and large ...

related initiatives and roadmap delivery * Apply best practices around data quality, governance and performance optimisation * AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) * SQL (advanced level) * Python (for data processing and pipeline development) * Infrastructure/tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) * Experience working ...

Apply best practices for data quality, governance, and performance optimisation Core Technical Skills Strong hands-on experience with: AWS data stack (Glue, S3, Lambda, Redshift, Athena) Advanced SQL Python for data processing and pipeline development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience ...

optimization. What We Are Looking For Core Technical Stack: AWS Expertise: Strong hands-on experience with the AWS Data Engineering stack (Glue, S3, Lambda, Redshift, Athena). Languages: Advanced SQL and Python (specifically for data processing and pipeline development). Environment: 4-8+ years in Data Engineering/ ...

pipelines, including support for legacy DataStage decommissioning and modernisation. Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB). Build optimised, scalable data models. Apply performance tuning and optimisation across storage. Ensure secure handling of data including authentication ...

data platforms. Knowledge of data modelling, replication, and query optimization. Experience with SQL and NoSQL databases. Exposure to data warehousing tools (e.g., Snowflake, Redshift, BigQuery). Data Platform Management Experience in hybrid environments (cloud/on-prem). Skilled in integrating diverse data sources. Understanding of secure data transfer ...

managing datawere unlocking whats next. This role isnt just about stability; its about possibility. Key responsibilities Responsible for efficiently and securely ingesting data into Amazon Redshift, ensuring the data is correctly formatted, transformed, and loaded into the data warehouse. This includes developing and maintaining data pipelines … processes to facilitate the timely and accurate transfer of data into Redshift. Create, design, and develop data models and views in AWS Redshift that can be analysed effectively in Redshift and Power BI. Set up, configure, administer, and troubleshoot in AWS Redshift. Conduct UAT of new data pipelines ...

data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

relevant: 5-6+ years in a senior data engineering, architecture, or platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java ...

Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate ...