1 to 25 of 53 Amazon Redshift Jobs in the UK

that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data. Ability to design AI/ ...

expertise: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Power BI Microsoft Purview AWS Glue AWS Lake Formation Amazon Redshift Amazon Athena Amazon EMR Amazon S3 SQL, Python, and PySpark CI/CD pipelines and DevOps practices Infrastructure ...

Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience … Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client … Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data ...

Essential Experience Strong commercial experience designing and building modern data platforms within AWS environments. Excellent knowledge of core AWS technologies, including: AWS Glue Amazon S3 Amazon RDS Amazon Athena Amazon Redshift Strong understanding of data architecture, data modelling and schema management principles. Experience creating ...

Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using ...

architecture within complex, secure environments Strong experience designing large-scale, cloud-based data platforms Deep expertise in AWS services, including EC2, S3, RDS, Lambda, Redshift Proven experience with Apache Flink and real-time streaming architectures Strong background in: Data modelling ETL/ELT processes Data warehousing and distributed systems ...

processing Design and implement data models optimised for analytics workloads (e.g. star/snowflake schemas) Work with modern data warehouse platforms (e.g. Snowflake, BigQuery, Redshift or similar) Identify bottlenecks and implement improvements across storage, compute, and transformation layers Ensure efficient handling of large-scale datasets Lead work on database ...

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 ...

deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile environments Experience with expert systems Perks & Benefits Comprehensive benefits package Annual ...

deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile environments Experience with expert systems Perks & Benefits Comprehensive benefits package Annual ...

deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile environments Experience with expert systems Perks & Benefits Comprehensive benefits package Annual ...

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 ...

with stakeholders to translate business needs into data solutionsDrive best practices in data quality, integration, and lifecycle managementKey SkillsStrong AWS data experience (e.g., S3, Redshift, Glue, Lake Formation, Athena)Proven experience in public sector or regulated environmentsData modelling (conceptual, logical, physical) expertiseKnowledge of data governance, security, and complianceExperience with ...

translate business needs into data solutions Drive best practices in data quality, integration, and lifecycle management Key Skills Strong AWS data experience (e.g., S3, Redshift, Glue, Lake Formation, Athena) Proven experience in public sector or regulated environments Data modelling (conceptual, logical, physical) expertise Knowledge of data governance, security ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...

commercial data engineering experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent). ...

Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points ...

documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka, Kinesis … equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/ ...

driven architecture * Terraform or CloudFormation * CI/CD and enterprise security AWS: Lambda, Step Functions, DynamoDB, S3, EventBridge, SNS, SQS, API Gateway, IAM, Glue, Redshift, Lake Formation, CloudWatch Contract: £650/day | Outside IR35 | Initial 3 months ...

business What they need from you: Solid hands on Data Engineering experience Advanced SQL and Python Strong experience with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic ...

enterprise accounts—comfortable in both exec‐level conversations and deep technical design sessions. Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms. Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud‐native ...

Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...