15 of 15 Permanent Amazon Redshift Jobs in the North of England

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 ...

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 ...

Data Engineer (AWS) - Manchester (Data Engineer, Senior 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, Data Engineer) Our client is a global innovator and world leader with … 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 ...

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 ...

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 ...

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. ...

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/ ...

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 ...

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). ...

skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state ...

least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate ...

used across Barclaycard Payments COO Operations. Knowledge of strategic data structure of Issuing. Experience working with and querying enterprise-scale data environments including AWS Redshift, BIW2 (Hadoop), Microsoft SQL databases and related reporting platforms. You may be assessed on key critical skills relevant for success in role, such ...

such as Salesforce Understanding of how declarative platform automation silently alter data post-import Experience in relational cloud-based database technologies like Snowflake, BigQuery, Redshift Understanding of cloud computing security concepts Familiarity with DBT and Databricks Experience working in an agile environment Experience working with AI tools (Claude Code ...

data governance, quality frameworks and modern data management practices. Experience delivering cloud-based data platforms and analytics capabilities, including AWS technologies such as Redshift, Glue and SageMaker. Demonstrated success in driving organisational change and increasing data maturity. Strong commercial acumen, with the ability to connect data initiatives to measurable ...