1 to 25 of 67 Amazon Redshift Jobs in the UK

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/ ...

Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience … Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

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 ...

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

Data Engineering, Business Intelligence or related roles Strong hands-on experience with: AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD) AI/ML Exposure ...

Data Engineering, Business Intelligence or related roles Strong hands-on experience with: AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD) AI/ML Exposure ...

related initiatives and roadmap delivery * Apply best practices around data quality, governance and performance optimisation * AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) * SQL (advanced level) * Python (for data processing and pipeline development) * Infrastructure/tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) * Experience working ...

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 ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will 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 INNOVATE with AI-driven data solutions ...

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 Strong experience in a Data Engineering or similar role Expertise in distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

5+ years' experience within Data Engineering or related development roles * Strong SQL development and optimisation experience * Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL * Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles * Experience tuning and optimising complex queries and large ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

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 ...

improvement of data architecture and workflows Skills and Experience Experience in a Data Engineering or similar role Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

basic knowledge of Python or R Basic SQL skills and understanding of data modelling Experience working with big data (e.g. Snowflake, BigQuery, Redshift, dbt, Fivetran/Airflow) Experience building dashboards using BI tools (e.g. Power BI, Tableau, Looker) Strong analytical thinking and problem-solving skills Ability to work with ...

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/ ...

relevant: 5-6+ years in a senior data engineering, architecture, or platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java ...

data consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging PostgreSQL features to improve performance during migration scenarios Proficiency in data warehousing (Redshift, BigQuery) Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proficiency in oral and written English You might ...

exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure/tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) Experience working ...

designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse ...

hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow orchestration tools such as Airflow or similar Ability to design ...

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 ...

with schema design and semi-structured data formats Exposure to containerisation, graph databases, or machine learning concepts Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake) Enthusiasm for learning and experimenting with new technologies Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work ...

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 ...