1 to 25 of 60 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/ ...

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 ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands‐on experience with AWS data services Amazon Redshift or comparable cloud data‐warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data‐modelling and production pipeline knowledge The confidence ...

controlled sharing of client data - is a benefit. An understanding of the gaming and sports betting industry is a strong advantage. Experience working with Amazon Redshift, Amazon Athena and/or Microsoft SQL Server is a benefit. OUR OFFER: A collaborative environment with colleagues from all over ...

accurate, accessible, and trusted. Designing and developing scalable data pipelines using Python and PySpark Building and optimising data workflows using AWS Glue, Athena, Redshift , and related AWS services Supporting modern lakehouse architectures, including Apache Iceberg Working with relational and NoSQL databases to ensure data is reliable … Data Engineer, ETL Developer, Data Platform Engineer, or a similar role Strong hands‐on experience with Python and PySpark Experience with AWS Glue, Amazon Athena, Amazon Redshift , and cloud‐based data platforms Strong SQL skills and experience working with both relational and NoSQL databases Experience supporting ...

Scala or Java). Experience building ETL/ELT pipelines. Experience with cloud data platforms such as AWS or Azure (for example, S3, Glue, Redshift, Azure Data Factory or Synapse). Understanding of data modelling and data warehousing concepts. Experience with version control (Git). Good problem-solving ...

about data behaviour over time and the downstream consequences of upstream design decisions. Modern Data Stack Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift, ADW), including performance, cost, and data layout considerations. Proficiency with data integration and orchestration tools (e.g. Fivetran, Airflow, managed ELT platforms), and an understanding ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

integrate data from business systems, APIs and other sources AWS Data Platforms – Develop and support cloud data solutions using services such as S3, Glue, Redshift, Redshift Spectrum, Lambda and IAM Data Transformation – Use SQL and Python to transform, validate and prepare data for reporting, analytics and downstream applications ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

hands‐on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. Excellent problem‐solving skills and the ability to work independently ...

bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift and applying data modelling best practices. Good understanding of software engineering principles, including object-oriented development, testing practices, version control, code quality management … specialist discipline Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and other patterns used to support Generative AI solutions on platforms such as Amazon Bedrock. Experience developing data-based apps in Streamlit/Shiny Skills in ‘Big Data’ technology tools like Hadoop/Spark Knowledge of Infrastructure ...

bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift and applying data modelling best practices. Good understanding of software engineering principles, including object-oriented development, testing practices, version control, code quality management … specialist discipline Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and other patterns used to support Generative AI solutions on platforms such as Amazon Bedrock. Experience developing data-based apps in Streamlit/Shiny Skills in ‘Big Data’ technology tools like Hadoop/Spark Knowledge of Infrastructure ...

designing and maintaining ETL/ELT pipelines Exposure to data warehousing, data lakes and modern data architecture Experience with cloud data platforms (AWS preferred - Redshift, Athena, S3, Glue. Azure accepted) Understanding of workflow orchestration and automation tools Python experience (including PySpark) is beneficial but not essential Exposure ...

implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency in: DevOps practices CI/CD pipeline management Infrastructure as Code (IaC) Nice-to-Have Hands-on experience ...

designing and implementing data solutions. Proficiency in programming languages such as Python, Java, or Scala. Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance ...

modern data platforms and data architecture Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture Familiarity with the Data Science ...

data integrationSkilled in data manipulation, processing, and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTestProficiency with GitHub, GitHub Actions, and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability to lead solution delivery ...

Lead Data Engineering aspects of projects. Qualifications Substantial experience in a full life cycle of date. Including familiarity with data related AWS technologies (e.g. Redshift). Strong programming skills and substantial experience designing and building data pipelines (e.g. Python, SQL, Airflow). Experience in data standardisation and QA techniques. ...

databases, and third-party systems. Data Warehousing Knowledge: You understand modern data warehouse architectures and have experience working with cloud-based solutions such as Amazon Redshift, Snowflake, or BigQuery. Data Quality & Reliability: You have a strong understanding of data quality principles, automated testing, validation, and monitoring, with ...

data architecture.• Knowledge of public cloud platforms such as AWS, Azure, or GCP, and exposure to cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric. Relevant certifications are a plus, although not a requirement.• Strong understanding of analytics workflows, data integration, data governance, automation ...

strong grasp of software engineering principles applied to data (version control, automated testing, CI/CD). Strong background working with cloud analytics platforms (Redshift, BigQuery, Snowflake), transformation tools (dbt), and modern visualisation software (Omni, Looker, Tableau, Power BI). Experience establishing data governance and data quality standards. Experience ...

even greater performance and flexibility. You’ll tackle high-performance data workloads, ensuring seamless execution of massive queries, including 600+ billion-row queries in Redshift, by designing and maintaining robust, scalable infrastructure. Our flat structure means that you will directly contribute to our strategy while taking ownership ...

Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points ...