1 to 25 of 36 Remote/Hybrid Amazon Redshift Jobs in England

that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data. Ability to design AI/ ...

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT or Anthropic Claude, preferably ...

Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience … Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

will work on a variety of projects, including, but not limited to: Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock - including foundation model selection, Bedrock Agents and Bedrock Knowledge Bases. Designing and implementing Retrieval-Augmented Generation (RAG) systems Conducting AI assessments of customer businesses … cost. Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review. Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them. Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on. Conducting ...

Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

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 ...

/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. Understanding of key data architecture ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions ...

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 ...

relevant: 5-6+ years in a senior data engineering, architecture, or platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java ...

testing for Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...

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 ...

will have 8+ years of Data Engineering experience within complex enterprise environments. * Strong experience with cloud data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered. * Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions. * Strong Python development experience alongside modern ...

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 ...

cleared Location: London/Hybrid Duration: 5 months Essential Skills: Informatica Data project experience AWS Azure Desirable Skills: Hands-on expertise in AWS & Spark: Amazon EMR, S3, Lambda; strong PySpark/Python and SQL for large-scale batch processing. Data engineering at scale in government or similarly complex domains … expose data safely and reliably. Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation. Data warehousing & modelling (e.g., Redshift; dimensional modelling). Basic Power BI familiarity to partner with BI developers and validate end-to-end data flows. AWS ecosystem depth (Athena, Redshift ...

predictive models and drive business insights. Be a Databricks champion or have some Databricks certifications AWS Work hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and more Strong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker). AWS Certified ...

Node.js , and modern development frameworks. Design, develop, and support cloud-based solutions across AWS , including services such as EC2, Lambda, Amplify, Athena, Cognito, S3, Redshift , & related technologies. Host, manage, & maintain custom applications across AWS and Zoho Catalyst . Develop and maintain secure, reliable API integrations between Zoho ...

design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small ...

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 in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine ...

skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. AWS Secrets Manager – Secure secrets and credential management. Amazon CloudWatch – Monitoring, logging, and alerting. AWS Step Functions – Workflow orchestration, if applicable. Amazon RDS/Aurora/Redshift – Source or target databases ...

Senior Data Engineer (ETL, SQL, Data Pipelines, BigQuery, Snowflake, Redshift, DWH, Datawarehouse, Data Warehouse) Contract Remote Charles Simon Associates are exclusively recruiting for a Senior Data Engineer on an initial 6 month contract with the potential to extend. This role is fully remote and is inside IR35. . click ...

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 ...

Strong SQL and Python skills with the ability to work independently on complex analytical problems and large datasets in cloud data warehouses (e.g. AWS Redshift, Databricks etc.) Dashboarding & Reporting Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI. Statistics & Experimentation Solid ...

technical challenges You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Senior Machine Learning Engineer (Python ...