19 of 19 Remote/Hybrid Amazon Redshift Jobs in England

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 ...

communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation ...

deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile environments Experience with expert systems Perks & Benefits Comprehensive benefits package Annual ...

deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile environments Experience with expert systems Perks & Benefits Comprehensive benefits package Annual ...

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 ...

with stakeholders to translate business needs into data solutionsDrive best practices in data quality, integration, and lifecycle managementKey SkillsStrong AWS data experience (e.g., S3, Redshift, Glue, Lake Formation, Athena)Proven experience in public sector or regulated environmentsData modelling (conceptual, logical, physical) expertiseKnowledge of data governance, security, and complianceExperience with ...

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 ...

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 ...

commercial data engineering experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent). ...

Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

large, complex datasets Experience delivering commercial insights that drive measurable business outcomes Hands-on experience with cloud-based analytics platforms such as Databricks, Snowflake, Redshift or Google BigQuery Strong stakeholder management and communication skills, with the ability to influence senior business leaders #AnalyticsManager #CustomerAnalytics #CRMAnalytics #RetailAnalytics #SQL #Databricks #Snowflake ...

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 ...

using data management technologies (such as Talend or Informatica) Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3 Design operations architecture and conduct performance engineering for large scale data lakes in production environment Participate in client design workshops and provide … year experience on AWS is preferred Experience and knowledge of Big Data Architectures, cloud and on premise AWS main Storage Service: S3, RDS, Redshift, DynamoDB AWS main Compute Service: EC2, Lambda, ECS, EKS Experience in building and deliver proofs-of-concept, in order to address specific business needs, using ...

initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with ...

through deployment and introduce modern engineering standards across the team. Key Responsibilities * Architect and develop applications using React, Node.js, Python and AWS (Lambda, S3, Redshift). * Integrate internal platforms with CRM and external partners via REST APIs. * Implement CI/CD, version control and testing frameworks to professionalise … Candidate Profile * 5 + years as a Full Stack Developer with expertise in React and Node.js. * Strong knowledge of AWS services (Lambda, S3, EC2, Redshift). * Experience building and consuming APIs and integrating applications with CRM or data systems. * Background in Agile software development and mentoring junior engineers. * Ability ...

Analytics Manager - Customer & CRM Insights London (2 days onsite per month) | Primarily Remote £550-£600 per day (Umbrella) We're supporting a well-known retail business as they look to appoint an Analytics Manager to ...