1 to 25 of 44 Amazon Redshift Jobs in the UK excluding London

enterprise reporting. Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight). Design and optimize complex data models using Tabular Editor and DAX Studio. • Manage ...

environment, contributing to technical discussions and problem-solving initiatives. Lead 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. ...

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data ...

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 modelling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

Collaborating closely with senior engineers and business stakeholders Requirements and Tech Stack You will have strong commercial experience in: AWS-based data engineering, including Redshift, S3, IAM and related services Building and maintaining data pipelines using Python and SQL Orchestration tools such as Airflow Data modelling and warehouse architecture ...

experience designing and deploying production-grade pipelines (Python, Scala, Java, Spark, SQL). Strong experience working with AWS cloud data technologies (e.g., Glue, EMR, Redshift, Kinesis, Lambda, DynamoDB). Commercial experience ingesting, processing and curating structured and unstructured datasets. Experience with API ingestion, data modelling and optimisation for analytics. ...

Solid cloud experience — ideally AWS (open to GCP). Orchestration experience (Dagster, Airflow, or similar). Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery. Infrastructure‐as‐code experience (Terraform or Pulumi). Strong data modelling capability (dimensional modelling, Data Vault, etc.). Background in software engineering ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen ...

skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending ...

skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending ...

skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending ...

Skills and Experience You will bring: Strong commercial experience in Python and SQL. Expertise in GCP and a modern data warehouse such as Snowflake, Redshift, or BigQuery. Experience building and maintaining ETL pipelines and data models. Knowledge of orchestration tools such as Airflow or Dagster. Infrastructure-as-code experience ...

Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS and talent systems ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

implementing AWS-native ETL pipelines using S3, Glue, Athena, Step Functions. Building scalable, ACID-compliant datasets using Apache Iceberg. Running cost-efficiency initiatives across Redshift and broader AWS services. Consolidating fragmented environments into a secure, multi-tenant data platform. Implementing automated data quality and validation workflows. Establishing platform-wide ...

automation, CI/CD pipelines, IaC, monitoring systems to ensure scalable, reliable data workflows. AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology). Familiarity with Docker/ec2, Terraform and CI/CD platform (Github Actions & Admin). ...

projects with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large ...

projects with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large ...

experience working directly with large datasets. Understanding of data warehousing concepts and analytics engineering principles. Desirable Experience working with AWS-based data platforms (e.g. Redshift, S3, Glue). Exposure to analytics engineering tools or concepts (e.g. dbt, staging layers, semantic models). Experience working in data-driven commercial environments. ...

Work Model: 3 days on site per week in Watford What You'll Do: Design, implement, and maintain AWS-based data infrastructure leveraging Redshift, S3, EMR, and other cloud services. Develop and oversee CI/CD pipelines for ETL processes and Power BI deployments, ensuring rapid, error-free code … Continuously explore innovative cloud services and tools to improve deployment speed, operational efficiency, and developer experience. Required Skills: Extensive experience with AWS cloud services (Redshift, S3, Lambda, EMR, CloudFormation/Terraform). Proficiency in CI/CD tools such as Jenkins, GitHub Actions, or similar. Strong scripting skills ...