1 to 25 of 29 Amazon Redshift Jobs in London

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 ...

Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning 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) Strong SQL skills and experience ...

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 ...

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 ...

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 ...

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 ...

with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake \n \n Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutions \n \n Experience ...

frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutions Experience navigating complex ...

compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

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 Desirable Skills \n \n Working experience ...

/validation experience: designing metrics and KPIs to verify and automate management of data quality. 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). Desirable Skills Working experience in Data Lakehouse environments ...

documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka, Kinesis … equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/ ...

translate business needs into data solutions Drive best practices in data quality, integration, and lifecycle management Key Skills Strong AWS data experience (e.g., S3, Redshift, Glue, Lake Formation, Athena) Proven experience in public sector or regulated environments Data modelling (conceptual, logical, physical) expertise Knowledge of data governance, security ...

enterprise accounts—comfortable in both exec‐level conversations and deep technical design sessions. Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms. Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud‐native ...

core engineering workstream Produce clear documentation and BAU handover Profile The Data Engineer will have strong cloud data warehouse experience (BigQuery preferred; Snowflake/Redshift also considered) Proven experience integrating: CRM platforms ERP systems Billing/BSS solutions Experience delivering cutover + hypercare phases (essential) Ability to operate ...

experience with one or more programming languages such as Python, Java. ● Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. ● Experience with cloud-based data platforms, particularly AWS or GCP. ● Experience with data warehousing, data modelling, and ETL development. ● Strong analytical & communication skills … platforms such as Kafka of Kinesis. ● Experience working with batch processing frameworks, such as DBT, Argo Workflows, Apache Airflow, etc. ● Familiarity with Docker, Kubernetes, Amazon EKS ● Familiarity with Continuous Integration with GitHub Actions ● Familiarity with Test-Driven Development and XP Our commitment to equity, diversity and inclusion : At giffgaff ...

experience with one or more programming languages such as Python, Java. Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. Experience with cloud-based data platforms, particularly AWS or GCP. Experience with data warehousing, data modelling, and ETL development. Strong analytical & communication skills … platforms such as Kafka of Kinesis. Experience working with batch processing frameworks, such as DBT, Argo Workflows, Apache Airflow, etc. Familiarity with Docker, Kubernetes, Amazon EKS Familiarity with Continuous Integration with GitHub Actions Familiarity with Test-Driven Development and XP Our commitment to equity, diversity and inclusion : At giffgaff ...

Teradata/Oracle/Netezza to Snowflake/Databricks/BigQuery). Solid understanding of cloud data platforms: Microsoft Azure (Fabric, Synapse, ADLS), AWS (Redshift, Glue, Lake Formation), GCP (BigQuery, Dataproc, Dataplex). Strong working knowledge of AI/ML engineering, MLOps, LLMOps, Generative AI, and Agentic AI frameworks. ...

dimensional design Experience with cloud data warehouse platforms – Google BigQuery is the existing lakehouse technology; hands‐on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology‐agnostic logical models and translate them into well‐reasoned implementation recommendations Proven ability to facilitate workshops with mixed ...

across underwriting modernisation, broker connectivity, digital distribution, delegated authority, claims or portfolio solutions. Experience with platforms such as Salesforce, Genius, Guidewire, HX Renew, Snowflake, Redshift, Databricks, AWS services or equivalent insurance technology platforms. Experience working with emerging technologies such as AI, automation, machine learning platforms or AI-enabled software ...

delivery of innovative data and AI solutions. You will need proven experience working with the following: AWS data engineering technologies including Glue, S3, Lambda, Redshift and Athena Advanced SQL and strong Python development skills Building and maintaining data pipelines and data platform solutions Business Intelligence, analytics and reporting environments … DataOps practices would be beneficial. Interested? Please apply below. AI Engineer, Data Scientist, Business Intelligence Engineer, BI Engineer, Data Engineer, AWS, Glue, Lambda, Redshift, Athena, SQL, Python, Data Lake, Data Platform, Business Intelligence, Analytics, AI, Machine Learning, AWS Bedrock, Generative AI, Data Warehousing, Public Sector, London, Swindon, Hybrid ...

Hands on experience with Databricks within a production data platform is essential. Broader exposure to modern cloud data technologies such as Snowflake, BigQuery, or Redshift is beneficial. A strong understanding of how data platforms enable analytics, AI, and business outcomes. Confident stakeholder management skills, with the ability to influence ...

using Python , SQL , and Apache Airflow . Build and manage containerised data applications using Docker . Design and optimise solutions using AWS services including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch . Implement CI/CD pipelines using GitLab or similar tools. Monitor, troubleshoot, and improve data pipeline … Clearance Strong experience with Python and SQL . Hands-on experience with Apache Airflow and Docker . Proven experience with AWS data services, including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch . Experience with Git , GitLab , and CI/CD pipelines. Understanding of AWS security best practices ...

Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. \n\n \n \n Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. \n\n \n \n Ensure data quality, observability, lineage, and documentation across data and ML pipelines. … skills with experience working on large datasets. \n\n \n \n Experience with AWS, including S3 and Lambda. \n\n \n \n Familiarity with Redshift, Snowflake, or other cloud data warehouses. \n\n \n \n Experience with behavioral datasets. \n\n \n \n Ability to work across machine learning ...