1 to 25 of 58 Permanent Amazon Redshift Jobs in the North of England

source-code management. Strong troubleshooting and problem-solving skills. AWS Experience Candidates should have practical experience with relevant AWS data services, such as: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon Athena Amazon RDS AWS IAM Amazon CloudWatch Experience with services such … Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous. AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines. Power BI Experience Power BI Desktop and Power BI Service. Dashboard and report development. Data modelling ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands-on experience with AWS data services Amazon Redshift or comparable cloud data-warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data-modelling and production pipeline knowledge The confidence ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands‐on experience with AWS data services Amazon Redshift or comparable cloud data‐warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data‐modelling and production pipeline knowledge The confidence ...

PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., S3, Redshift, BigQuery). Leadership and team management skills Experience with CI/CD best practices & IaC Experience with data modelling, data governance, data quality ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring ...

using Python and SQL Migrate data from legacy SQL environments into a cloud-native architecture Essential Skills SQL and Python Hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Athena Data warehouse and data lake design experience ETL/ELT development and optimisation 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 ...

including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Ensure solutions follow AWS best practices for security, performance … professional development. Whatyou'llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Proficiencyin programming languages such asPythonandSQL fordata ...

Lead Data role. Strong hands‐on experience designing and delivering cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Nice ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Nice ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Nice ...

workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and 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 **OPTIMISE** and **SECURE** cloud environments – You will ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

cloud based solution; AWS preferred. Proficient in Python programming and software engineering best practices. Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases. Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices. Hands ...

where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience ...

where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience ...

where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience ...

where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience ...