1 to 25 of 66 Remote/Hybrid Amazon Redshift Jobs in the UK

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 ...

Supporting the delivery of accurate and actionable business insights Skills & Experience We're looking for experience with some or all of the following: DataStage Amazon Redshift Amazon QuickSight AWS Amazon S3 SQL Java Relational Databases GitHub or GitLab You don't need to tick every box. ...

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 ...

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 ...

trusted. Key responsibilities include: 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 ...

with a focus on performance optimisation and maintainability. Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery, Redshift). Strong understanding of data modelling principles for analytics, reporting, machine learning and AI use cases. Experience applying modern engineering practices, including CI/ ...

experience with data pipeline tools (e.g., Apache Airflow, Kafka) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema ...

PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., S3, Redshift, BigQuery). Leadership and team management skills Experience with CI/CD best practices & IaC Experience with data modelling, data governance, data quality ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working both independently ...

reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable experience ...

scalable data platforms. Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working with relational and NoSQL databases, alongside strong data modelling skills. A solid understanding of data governance, data ...

experience following software engineering best practices like version control and continuous integration You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions Experience with dbt for data transformation layer Experience with IaC tooling such ...

dimensional/data modelling Experience designing and operating production data pipelines Experience with a modern cloud data warehouse such as Snowflake , BigQuery or Redshift Experience with automated testing, version control and CI/CD Strong understanding of data quality, reliability and observability Experience diagnosing performance and production issues Ability ...

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 ...

user-facing solutions within Foundry. Strong understanding of distributed systems and microservices architecture. Experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Textract, and AI/ML services. Experience working with modern data technologies, including Snowflake . Knowledge of DevOps practices, CI/CD pipelines, Docker ...

working with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent is required. Experience working with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena is a plus. Understanding and experience with predictive analytics, statistical modelling, or machine learning ...

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 ...

analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud-native solutions to unlock agility and performance. OPTIMISE AND SECURE cloud environments – evaluate cloud environments ...

Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS ...

strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both technical ...

write clean, efficient code across all three, and you understand how it performs at scale. Database management: Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB), with a solid grounding in database fundamentals — indexing, performance, design trade‐offs. Terraform: You have experience in managing infrastructure as code with ...

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 ...