1 to 25 of 112 Amazon Redshift Jobs in the UK

enterprise reporting. Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight). Design and optimize complex data models using Tabular Editor and DAX Studio. • Manage ...

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data ...

Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

data migration strategy and execution, including assessment, dependency mapping, and wave planning Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss Enable CDC-based replication and minimal downtime migrations across heterogeneous … cloud to cloud) Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing) Experience designing and implementing data validation and reconciliation frameworks Strong experience in ETL/data pipeline development (Glue, PySpark ...

databases. Strong hands-on expertise with: AWS DMS (Database Migration Service). AWS SCT (Schema Conversion Tool). AWS Glue (ETL & data integration). Amazon Redshift (data warehousing). Nice to Have: Exposure to real-time replication tools (e.g., GoldenGate or equivalent). Database Administration (DBA) expertise, including ...

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 – You will ...

experience: Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

experience: Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows ...

MedTech, or related sectors preferred) Strong SQL and Python (or similar programming languages) Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, BigQuery, Redshift) Experience working with cloud technologies (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline development Experience handling sensitive or regulated data ...

vector databases Experience handling structured and unstructured data (e.g. text, documents, logs, images) Knowledge of scalable storage solutions such as Delta Lake, Parquet, Redshift and DynamoDB Experience optimising AI models (e.g. quantisation, distillation, inference tuning) Strong troubleshooting and performance optimisation skills across distributed systems Desirable Skills Additional experience across ...

Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor ...

systems to ensure scalable, reliable data workflows. You bring professional experience with the following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker. Familiarity with containerization (e.g., Docker/ec2), Orchestration in enterprise environment (Airflow), Infrastructure automation (Terraform), and CI/CD platform (Github Actions ...

experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.) Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) Understanding of ETL/ELT processes and data transformation workflows Experience working with non-technical stakeholders and translating requirements Nice to Have Experience with ...

data platforms. Knowledge of data modelling, replication, and query optimization. Experience with SQL and NoSQL databases. Exposure to data warehousing tools (e.g., Snowflake, Redshift, BigQuery). Data Platform Management Experience in hybrid environments (cloud/on-prem). Skilled in integrating diverse data sources. Understanding of secure data transfer ...

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/ ...

managing datawere unlocking whats next. This role isnt just about stability; its about possibility. Key responsibilities Responsible for efficiently and securely ingesting data into Amazon Redshift, ensuring the data is correctly formatted, transformed, and loaded into the data warehouse. This includes developing and maintaining data pipelines … processes to facilitate the timely and accurate transfer of data into Redshift. Create, design, and develop data models and views in AWS Redshift that can be analysed effectively in Redshift and Power BI. Set up, configure, administer, and troubleshoot in AWS Redshift. Conduct UAT of new data pipelines ...

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 ...

services ( AWS, Azure, GCP ) Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems ...

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 ...

builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git based version control. ...

builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big‑data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git‑based version control. ...

expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks) Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch Strong SQL skills and proficiency in Python, DBT Understanding of data governance frameworks (e.g., Collibra, Alation is a plus) Hands ...

implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality ...