1 to 25 of 59 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 ...

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 ...

Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-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) \n Strong SQL skills ...

Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-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) \n Strong SQL skills ...

Cloud, or Azure)\ NExperience with large-scale distributed data processing and performance tuning\ NHands-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)\ NStrong SQL skills and experience ...

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

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

Apply best practices for data quality, governance, and performance optimisation Core Technical Skills Strong hands-on experience with: AWS data stack (Glue, S3, Lambda, Redshift, Athena) Advanced SQL Python for data processing and pipeline development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience ...

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

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 ...

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 ...

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 ...

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 ...

Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) \n Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.) \n Have experience adopting ...

Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) \n Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.) \n Have experience adopting ...

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 ...

Maintain business level data model. \n Recommending and introducing new technology where needed. \n\n Core: \n \n Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) \n Data transformation technology such as DBT \n Visual Studio Code \n Python \n CI automation systems such as Jenkins \n A git-based ...

NPractical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc)\ NHands-on dataops experience (eg. CI/CD, version control, IaC, etc.)\ NHave experience adopting a Data Product ...

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 ...

NMaintain data dictionary.\ NMaintain business level data model.\ NRecommending and introducing new technology where needed.\ N\nCore:\ N\nCloud data platforms (e.G. Snowflake, BigQuery, Redshift)\ NData transformation technology such as DBT\ NVisual Studio Code\ NPython\nCI automation systems such as Jenkins\ NA git-based source control system such ...

requires hands-on experience with Power BI Premium, Tabular Editor, DAX Studio, and GitHub-based BI DevOps, along with exposure to AWS data platforms (Redshift, S3, etc.). Key Responsibilities Data & Semantic Modelling - Design and implement dimensional data models (star schema, fact/dimension design) - Build and manage enterprise … version control using GitHub for Power BI assets - Establish CI/CD pipelines for BI deployments Cloud Data Platform (AWS) - Integrate Power BI with Amazon Redshift, Power BI Gateways - Ensure optimised data pipelines and BI consumption Governance - Implement OLS, RLS, security, and compliance - Define semantic layer best practices ...

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). ...

will have 8+ years of Data Engineering experience within complex enterprise environments. * Strong experience with cloud data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered. * Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions. * Strong Python development experience alongside modern ...

validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n \n Desirable Skills ...