1 to 25 of 83 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/ ...

query optimization. Data warehousing and dimensional modelling concepts. AWS Skills Expected Candidate should have experience with one or more of the following AWS services: Amazon S3 AWS Glue Amazon EMR AWS Lambda AWS Step Functions Amazon Redshift Amazon Athena Amazon RDS/Aurora … Amazon CloudWatch AWS Secrets Manager Data Modelling Skills Star Schema Snowflake Schema Dimensional Modeling Data Vault Data Warehouse Design Data Lake Architecture Data Formats Experience working with: Parquet Avro JSON CSV ORC CI/CD & DevOps Git GitHub GitLab Bitbucket Jenkins GitHub Actions GitLab CI/CD AWS DevOps ...

Data Engineer (AWS) - Manchester (Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client is a global innovator and world leader with … Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS’s analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You’ll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … thought leadership, workshops, and reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud‐native analytics ...

data team and design/build high-performing semantic models that will underpin Power BI and Microsoft Fabric reporting. Working with data held in Amazon Redshift, you'll create a logical, business-friendly data layer that enables accurate, scalable analytics across a complex organisation. This … create reliable and consistent analytical layers. Work with data engineers to understand underlying data structures and ensure models are built effectively on top of Amazon Redshift. Help shape how the organisation consumes data by creating a trusted, accessible reporting foundation. Skills & Experience Strong SQL development experience, with the ability ...

Factory, or AWS Glue. Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub. Experience with data warehouse solutions such as Snowflake, Redshift, BigQuery, or Synapse Analytics. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with version control (Git) and CI/ ...

Experience designing modern Lakehouse architectures. Experience working with cloud platforms including AWS, Azure or GCP. Experience with modern data warehousing technologies such as Snowflake, Redshift or BigQuery. Experience with orchestration tools such as Airflow or Databricks Workflows. Previous experience working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka ...

reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice … present options You've grown engineering talent around you and take it seriously as a leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon ...

reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice … present options You've grown engineering talent around you and take it seriously as a leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon ...

NoSQL) to AWS cloud. Proven experience in on-prem to AWS data migration using AWS-native tools such as DMS, Glue, DataSync, Step Functions, Redshift, Athena, Lambda, RDS, EC2, S3 Data Lake, and CloudWatch. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend ...

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 ...

predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling ...

maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem-solving ...

technical innovation across the business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

strong leadership skills to mentor and support data engineers at all levels, influencing how data engineering evolves within GBR. The technologies in use include Redshift, EC2, Glue, Lambda, Kinesis Firehose, Athena, and S3. Proficiency in Python, SQL, and Bash is essential. You’ll encounter a wide range of source ...

communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business needs Able to architect custom AI solutions and smart automated systems that ...

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 ...

solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands-on experience of migration to or adoption of a cloud data platform. Strong ...

platform-level (not single-product) capacity Strong experience with both operational databases (Postgres, MongoDB/DocumentDB, MySQL) and analytical/data warehouse systems (Redshift) Experience building and scaling data pipelines (batch and streaming) using tools such as Kinesis, SQS/SNS, and Lambda Strong understanding of search and retrieval ...

Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.) Have experience adopting a Data Product ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

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 ...

Stack Backend: TypeScript, Node.js, C#, .NET Infrastructure: AWS (ECS, Lambda, SQS, DynamoDB), Terraform Architecture: Microservices, Event‐driven architecture Data & ML: Python, AWS SageMaker, S3, Redshift Why Join Alto? This role gives you genuine ownership of ML capability at a company that processes more housing transactions than anyone else ...