1 to 25 of 39 Amazon Redshift Jobs in the UK excluding London

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 ...

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 Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

large on prem to AWS migration programme in replicating data pipelines in readiness for a lift and shift to the cloud. Essential: AWS and Redshift In full: Role purpose Reporting to the Lead Data Engineer, the Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

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 ...

technical stakeholders. Skills & Experience: We’re looking for strong hands-on experience across modern data platforms, including: Proven experience with AWS data technologies: S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation Experience building and deploying cloud data platforms Infrastructure-as-Code and CI/CD practices (GitHub, CodeBuild, pipelines) Strong ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven ...

usage, recommending improvements and efficiencies. Driving continuous improvement across pipelines, tooling, automation, and release processes. Main Skills Needed: Strong hands-on AWS experience across Redshift, S3, EMR, Lambda and infrastructure-as-code. Demonstrated ability to align with DevOps while maintaining distinct responsibilities within the BI function. Proficient with ...

years experience in data engineering, ETL, or data warehousing Strong SQL skills and experience with relational databases Experience with cloud data platforms (e.g. AWS Redshift, Azure) Hands-on experience with ETL tools (e.g. dbt, CData) and scripting (Python, Shell) Solid understanding of data modelling, governance, and performance optimisation Strong ...

Solid cloud experience — ideally AWS (open to GCP). Orchestration experience (Dagster, Airflow, or similar). Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery. Infrastructure‐as‐code experience (Terraform or Pulumi). Strong data modelling capability (dimensional modelling, Data Vault, etc.). Background in software engineering ...

/Knowledge/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

e.g. SAP, Oracle, NetSuite, Workday) Exposure to BI and reporting tools (e.g. Power BI, Tableau, Looker) Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Familiarity with automation, orchestration, or analytics engineering tools (e.g. dbt, Airflow) Robert Half Ltd acts as an employment business for temporary positions ...

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 ...

maintain ETL/ELT pipelines using Python and SQL Orchestrate workflows with Airflow Work with cloud data platforms (AWS/GCP, BigQuery/Redshift) Improve data quality, monitoring, and reliability Collaborate with analysts and engineers to deliver trusted data What we're looking for: 3+ years' experience in data ...

skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen ...

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 ...

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 ...

have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

strong delivery focus) in data or platform teams Strong hands-on understanding of AWS services, particularly those used in data platforms (e.g. S3, Glue, Redshift, Lambda, IAM) Solid experience with Databricks, including data engineering and analytics use cases Familiarity with modern data architectures (lakehouse, data lakes, streaming, batch processing ...

Power BI Supporting self-service analytics and improving data literacy across the business Acting as an SQL subject matter expert (Postgres, Cloud SQL, BigQuery, Redshift) Using orchestration tools such as Airflow to deliver reliable, automated pipelines Contributing to IaC and CI/CD pipelines via GitHub Collaborating across engineering ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...