1 to 25 of 43 Amazon Redshift Jobs in the UK

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 ...

Supporting the delivery of accurate and actionable business insights Skills & Experience We're looking for experience with some or all of the following: DataStage Amazon Redshift Amazon QuickSight AWS Amazon S3 SQL Java Relational Databases GitHub or GitLab You don't need to tick every box. ...

with the technical implementation of the data platform. Responsibilities include: Designing ETL and ELT pipelines Change Data Capture (CDC) AWS Database Migration Service (DMS) Amazon Redshift optimisation SQL performance tuning Data pipeline monitoring Automation Data lifecycle management AWS Data Platform Own the organisation's cloud data platform, including … Amazon Redshift AWS Database Migration Service (DMS) Amazon S3 AWS Glue (where appropriate) Ensure the platform remains secure, scalable and cost-effective. Skills & Experience Essential Strong financial services experience in an FCA regulated environment Significant experience designing enterprise data warehouses Strong commercial awareness Excellent understanding of financial ...

data governance, data quality, and security practices. Familiarity with CI/CD pipelines and version control tools. Preferred Skills Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery. Knowledge of real-time streaming technologies such as Kafka. Exposure to Agile delivery methodologies. Experience in large-scale data transformation or modernization ...

Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion and pipeline ...

ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage and orchestration Experience ...

with database technologies like PostgreSQL, MongoDB, CosmosDB, and SQL Server is also beneficial. Knowledge of data warehousing technologies such as Databricks SQL, Snowflake Warehouses, Amazon Redshift, and Google BigQuery is important for structuring and managing large volumes of data. Data engineers should be adept at Extract, Transform, Load … processes. This includes using frameworks such as the Medallion Architecture, as well as tools like Apache Airflow, Fivetran, Azure Data Factory, and Amazon Glue to automate data workflows and ensure data quality. Familiarity with cloud computing services, such as AWS, Azure, or Google Cloud Platform, is increasingly important. 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 ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

experience as a Senior or Lead Data Engineer within high-volume, data-intensive environments. Extensive AWS experience including services such as Glue, Lambda, S3, Redshift, and wider cloud-native data tooling. Strong knowledge of Apache Spark and large-scale data processing. Experience working with streaming technologies such as Kafka. ...

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 ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

data lakes, warehouses and modern data architectures Experience with GCP, AWS or Azure , with GCP particularly desirable Knowledge of technologies such as BigQuery, Snowflake, Redshift, Synapse, Databricks or equivalent Experience with modern tooling such as dbt, Airflow and Terraform , or comparable technologies Strong knowledge of ETL/ ...

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 ...

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 ...

experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.). #mle #machinelearning #datascientist #python #sql #timeseries #ai #cicd #cloud #contractjobs Reasonable Adjustments: Respect and equality are core values to us. ...

experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.). #mle #machinelearning #datascientist #python #sql #timeseries #ai #cicd #cloud #contractjobs Reasonable Adjustments: Respect and equality are core values to us. ...

data modelling. Proven experience designing and building analytical datasets and reporting structures. Experience working with cloud-basedMPP data warehouse technologies such as: Snowflake BigQuery Redshift Demonstrable experience delivering scalable data solutions within modern analytics environments. Desirable Skills Previous experience within the Advertising Technology or Digital Advertising sector. 2+ years ...

principles. Experience optimising cloud infrastructure for performance, resilience and cost efficiency. Key Skills: AWS (ECS, Auto Scaling Groups, ALB, CloudFront, Lambda, RDS Aurora, ElastiCache, Redshift, S3, MSK, Control Tower) Terraform & Infrastructure as Code Linux (Ubuntu) Bash/Shell scripting Docker PHP 7/8 SQL, MySQL & PostgreSQL ...

production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

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 ...

storage solutions Establishing architectural frameworks (eg data vault, dimensional modelling, medallion architecture) Leading the design of cloud data platforms (AWS) - including services like Redshift, S3, Glue, Athena Evaluating and introducing new technologies (eg Iceberg, Delta Lake, observability tools) Driving data governance, standards, and best practice Acting as a trusted ...

Node.js , and modern development frameworks. Design, develop, and support cloud-based solutions across AWS , including services such as EC2, Lambda, Amplify, Athena, Cognito, S3, Redshift , & related technologies. Host, manage, & maintain custom applications across AWS and Zoho Catalyst . Develop and maintain secure, reliable API integrations between Zoho ...

commercial/Agile environment Databricks Strong programming skills in Python, SQL and/or Spark AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology) Hands-on experience with ML model deployment, monitoring and life cycle management Experience building ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...