1 to 25 of 85 Amazon Redshift Jobs in the UK

with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor model … CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience ...

with strong engineering fundamentals and a proactive, delivery-focused mindset. Core Skills & Experience Required: Strong hands-on experience with IBM DataStage Proven expertise with Amazon Redshift , Amazon S3 , and Amazon QuickSight Extensive experience in data migration and ETL processes (both batch and real-time) Data warehouse ...

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 ...

8+ years of experience in data engineering or data platform development within enterprise environments Strong expertise in AWS data services (such as S3, Glue, Redshift, EMR, Athena, Lambda or similar) Strong programming experience with Python and SQL Hands-on experience with Spark or distributed data processing frameworks Proven experience ...

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 ...

Core experience required: Strong Python development, particularly for data ingestion, crawling, parsing, and transformation. Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms. Experience building production data pipelines in AWS cloud environments. Familiarity with Docker containers and CI/ ...

Strong SQL; Snowflake ELT; dbt experience. Python/PySpark, ETL/ELT design. Data Vault 2.0 or dimensional modeling. AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired ...

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 ...

engineering, performance, security and long-term maintainability. Key experience required: • Active SC Clearance • Deep expertise across AWS data services such as Glue, Lambda, S3, Redshift, EMR, Athena and Step Functions • Strong Python and SQL development capability • Proven experience designing and building ETL or ELT pipelines in cloud environments • Experience ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

preferred), including services for storage, transformation and warehousing Experience interacting with APIs and cloud services programmatically Experience building and maintaining cloud data warehouses (e.g. Redshift, Snowflake or Databricks) Familiarity with Git-based source control Experience working in an Agile delivery environment Strong analytical and problem-solving skills The ability ...

challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ML pipeline ...

skills and strong query optimisation experience • Experience building large scale analytics systems • Hands-on experience with OLAP databases such as ClickHouse, Snowflake or Amazon Redshift • Experience designing and implementing ETL pipelines from scratch • Experience implementing caching strategies using Redis or AWS ElastiCache • Strong knowledge of AWS infrastructure • Ability … platform. This includes: • Selecting the appropriate analytics warehouse based on performance, cost and scalability • Designing and deploying ETL/ELT pipelines ingesting data from Amazon Aurora into the analytics warehouse • Implementing monitoring and alerting across pipelines and warehouse infrastructure • Reducing benchmark analytics query times to under 2 seconds • Implementing ...

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 ...

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 ...

experience designing and deploying production-grade pipelines (Python, Scala, Java, Spark, SQL). Strong experience working with AWS cloud data technologies (e.g., Glue, EMR, Redshift, Kinesis, Lambda, DynamoDB). Commercial experience ingesting, processing and curating structured and unstructured datasets. Experience with API ingestion, data modelling and optimisation for analytics. ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

team-led hybrid working arrangement is in place. About you For this role you'll need to have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience leading and coaching individuals to provide ongoing oversight over the development of data products. Experience of building and automating data pipelines ...

team-led hybrid working arrangement is in place. About you For this role you'll need to have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience leading and coaching individuals to provide ongoing oversight over the development of data products. Experience of building and automating data pipelines ...