1 to 25 of 35 Amazon Redshift Jobs in London

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 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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Skills and Experience You will bring: Strong commercial experience in Python and SQL. Expertise in GCP and a modern data warehouse such as Snowflake, Redshift, or BigQuery. Experience building and maintaining ETL pipelines and data models. Knowledge of orchestration tools such as Airflow or Dagster. Infrastructure-as-code experience ...

delivery maturity. Required Technical Skills & Expertise AWS Data & Analytics (Hands-On Expertise) AWS Glue (ETL/ELT development, PySpark, Glue Catalog) Apache Spark AWS Redshift (modelling, optimisation) AWS Lambda AWS RDS AWS Step Functions Experience with Open Table Formats: Delta Lake Apache Hudi Strong knowledge of S3-based data ...

reporting. Knowledge of ETL tools or frameworks (SSIS, Azure Data Factory, Informatica, etc.). Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Amazon Redshift, SQL Server). Strong understanding of data transformation, aggregation, and performance tuning . Familiarity with DAX and Power Query in Power BI. Experience ...

scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing ...

optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with data governance tooling ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

Youll Be Working With Python for data ingestion, transformation and processing Cloud-based data infrastructure within AWS Analytical and time-series databases such as Redshift or ClickHouse Containerised environments using Docker CI/CD and Infrastructure-as-Code practices Large and varied datasets used in energy and financial markets ...

Data Manipulation & Processing GitHub, GitHub Actions, Azure DevOps Azure Data Factory Databricks SQL Database Azure Synapse Stream Analytics AWS Glue Apache Airflow AWS Kinesis Amazon Redshift SonarQube PyTest Optional/Nice to Have Experience managing projects or running Scrum teams Experience with BPC/Planning solutions Exposure ...

development (REST, SOAP) Informatica or Oracle Data Integrator SQL Server Integration Services (SSIS) Azure Data Factory or Azure Synapse Databricks or Apache Spark Amazon Redshift SQL Server or Oracle Database Oracle Integration Cloud or Business Objects Data Services Desirable Skills: Business intelligence tools such as Tableau, Power ...

Senior Data Engineer Deep expertise in Kafka (MSK or Confluent) and real-time data architectures Strong AWS data platform experience (S3, Kinesis, Glue, Redshift, Lambda, ECS/EKS) Experience designing both real-time and batch systems at enterprise scale Excellent documentation and stakeholder communication skills Nice to Have Databricks ...

looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf … experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That’s why we put our team ...

solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune ...

Mathematics, Statistics, Economics, or a related field. Proficiency in data analysis tools and programming languages such as SAS,SQL, & Python . Experience with Amazon Quick site & AWS Redshift. Experience in working with large datasets and data visualisation tools and strong MS Excel skills . Knowledge of credit risk modelling ...

experience that makes complex energy systems simple, powerful and intuitive. You'll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms. There's a collaborative team environment where you'll input into technical … have expertise with backend TypeScript, Node, Python and APIs You have a good knowledge of AWS You have experience with PostgreSQL, DBT and Amazon Redshift, and have had exposure to data pipelines, ETL, data modelling and LLMs You have a good understanding of event driven systems ...

working with dbt Understanding of data modelling and orchestration Solid understanding of statistics, experimentation, or quantitative analysis Experience working with modern data warehouses (Snowflake, Redshift etc.) Drop me a message or email emy@burnssheehan.co.uk if you’d like to hear more. ...