1 to 25 of 41 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 ...

8+ years of experience in data engineering or data platform development within enterprise environments Strong expertise in AWS data services (such as S3, Glue, Redshift, EMR, Athena, Lambda or similar) Strong programming experience with Python and SQL Hands-on experience with Spark or distributed data processing frameworks Proven experience ...

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 ...

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 ...

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 ...

systems to ensure scalable, reliable data workflows. You bring professional experience with the following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker. Familiarity with containerization (e.g., Docker/ec2), Orchestration in enterprise environment (Airflow), Infrastructure automation (Terraform), and CI/CD platform (Github Actions ...

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 ...

NoSQL and graph databases. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience delivering infrastructure across data platforms such as Snowflake, Elastic, Redshift, Databricks, or Splunk. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Strong data modelling and normalisation knowledge. ...

using Python Write and optimise SQL queries Collaborate with stakeholders to deliver data-driven solutions Key Requirements Strong AWS experience (S3, Glue, Lambda, Athena, Redshift, DynamoDB) Python and SQL expertise Knowledge of ETL and data pipeline design Familiarity with GitLab and Infrastructure as Code (Terraform/CloudFormation) What ...

communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation ...

architecture Requirements Minimum 1 year of hands-on experience with Python At least 1 year of experience working with AWS (e.g. S3, Lambda, Redshift, or similar services) Strong understanding of data engineering principles and data modelling Experience with SQL and relational databases Ability to work both independently ...

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 ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

that supports real business decisions across Product, Finance, and Operations. You'll be working hands-on with tools like S3, Glue, Lambda, Athena and Redshift, building and optimising data pipelines, integrating API data sources, and delivering high-quality datasets for analytics and reporting. There's also scope to work ...

profiling, cleansing, and modelling. Experience building repeatable data pipelines in cloud/data warehouse platforms (e.g., Azure/Synapse/Fabric, Snowflake, BigQuery, Redshift). Proficient with data prep and QA automation; strong understanding of master/reference data practices. Knowledge of access controls, PII handling, retention, and audit ...

PySpark) Experience with database technologies and data warehousing principles (star schema, snowflake, data vault) Experience working with cloud data services specifically with AWS (including Redshift and S3) Banking industry background Benefits Salary up to £59,000 + up to 20% bonus Hybrid working: Once a fortnight/month ...

Monitoring and logging tools such as Prometheus, Grafana Solid understanding of networking and security (VPC, Nginx, AWS WAF, etc.) Database experience with DynamoDB, Aurora, Redshift, SQL Comfortable with Linux/Unix OS administration What you need to do now If you're interested in this role, click 'apply ...

systems. A product-focused mindset, balancing experimentation with real-world value. Useful additional experience includes: AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift). MLOps practices (monitoring, deployment, optimisation). Working with streaming data, transformer models or recommendation systems. What They Offer £70,000 to £90,000 salary. ...