1 to 25 of 144 Amazon Redshift Jobs in England

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/ ...

build, and own batch-oriented data pipelines and ETL workflows using: AWS Glue for distributed processing AWS Lambda and AWS Step Functions for orchestration Amazon S3 as the central data lake Develop and optimize ingestion pipelines using AWS-native services such as AppFlow, DMS, and limited use of Kinesis …/Firehose for ingestion Build and maintain analytical data models and query layers using: Amazon Athena Amazon Redshift ClickHouse Design and integrate data workflows with backend microservices running on Amazon ECS Collaborate with backend engineers to build and extend microservices that expose data capabilities via APIs ...

query optimization. Data warehousing and dimensional modelling concepts. AWS Skills Expected Candidate should have experience with one or more of the following AWS services: Amazon S3 AWS Glue Amazon EMR AWS Lambda AWS Step Functions Amazon Redshift Amazon Athena Amazon RDS/Aurora … Amazon CloudWatch AWS Secrets Manager Data Modelling Skills Star Schema Snowflake Schema Dimensional Modeling Data Vault Data Warehouse Design Data Lake Architecture Data Formats Experience working with: Parquet Avro JSON CSV ORC CI/CD & DevOps Git GitHub GitLab Bitbucket Jenkins GitHub Actions GitLab CI/CD AWS DevOps ...

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 ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS’s analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You’ll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … thought leadership, workshops, and reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud‐native analytics ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch.You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges … community through thought leadership, workshops, and reference architectures.Key job responsibilitiesArchitect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch)Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud-native analytics, including ...

data team and design/build high-performing semantic models that will underpin Power BI and Microsoft Fabric reporting. Working with data held in Amazon Redshift, you'll create a logical, business-friendly data layer that enables accurate, scalable analytics across a complex organisation. This … create reliable and consistent analytical layers. Work with data engineers to understand underlying data structures and ensure models are built effectively on top of Amazon Redshift. Help shape how the organisation consumes data by creating a trusted, accessible reporting foundation. Skills & Experience Strong SQL development experience, with the ability ...

Experience designing modern Lakehouse architectures. Experience working with cloud platforms including AWS, Azure or GCP. Experience with modern data warehousing technologies such as Snowflake, Redshift or BigQuery. Experience with orchestration tools such as Airflow or Databricks Workflows. Previous experience working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka ...

Google Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience ...

pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development practices ...

warehouse, data mesh, data fabric).Hands-on experience with one or more cloud data ecosystems:Azure (Data Factory, Synapse, Fabric, ADLS, Databricks)AWS (Glue, Redshift, EMR)GCP (BigQuery, Dataflow)Databricks (Spark/PySpark)Snowflake (SQL, Snowpark, performance tuning)Desirable ExperienceStrong SQL and/or Python capability, and familiarity with ...

reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice … present options You've grown engineering talent around you and take it seriously as a leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon ...

reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice … present options You've grown engineering talent around you and take it seriously as a leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon ...

Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS • Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery • Experience with Python/PySpark • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as QuickSight, Looker, Power ...

NoSQL) to AWS cloud. Proven experience in on-prem to AWS data migration using AWS-native tools such as DMS, Glue, DataSync, Step Functions, Redshift, Athena, Lambda, RDS, EC2, S3 Data Lake, and CloudWatch. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend ...

reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable experience ...

predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling ...

Engineer Must have:Experience in building complex data pipelines/ETL/ELT scriptsExtensive experience with SQLExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business ...

experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data ...

experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data ...

maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem-solving ...

technical innovation across the business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. ...

Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile ...

communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

such as Beam and Flink.Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.Agile Methodologies: Familiarity with Agile frameworks ...