1 to 25 of 31 Amazon Redshift Jobs in the North of England

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 ...

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 ...

reconciliation, and audit controls across betting, trading, and customer data domains. Develop streaming and micro-batch data solutions using AWS Kinesis, Apache Kafka, or Amazon MSK to support real-time sportsbook and in-play data feeds. Build and maintain data solutions using AWS services including S3, Glue, Lambda, Athena … Redshift, Lake Formation, Step Functions, and MWAA. Support regulatory and compliance reporting by ensuring data pipelines are reliable, traceable, and meet audit and lineage requirements for the UK Gambling Commission and other international regulators. Collaborate with architects, platform engineers, and cross-functional teams to design scalable, resilient, and high ...

with technologies such as Apache Spark and modern data engineering frameworks. Experience with cloud platforms and data services, ideally AWS, including technologies such as Redshift and S3. Experience working with relational and NoSQL databases, alongside strong data modelling and database design skills. Experience building scalable data platforms, including data ...

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 ...

using Python and SQL Migrate data from legacy SQL environments into a cloud-native architecture Essential Skills SQL and Python Hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Athena Data warehouse and data lake design experience ETL/ELT development and optimisation Data ...

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 ...

including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Ensure solutions follow AWS best practices for security, performance … professional development. Whatyou'llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Proficiencyin programming languages such asPythonandSQL fordata ...

Lead Data role. Strong hands‐on experience designing and delivering cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise ...

workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and 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 **OPTIMISE** and **SECURE** cloud environments – You will ...

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 ...

Vector Search and Unity Catalog, or Azure OpenAI, Azure AI Foundry and Azure AI Search. AWS: Glue, Lambda, Step Functions, Kinesis, EMR, Athena, Redshift, S3 data lakes; and, for the AI edge, Amazon Bedrock, Knowledge Bases for Bedrock About Capgemini Hybrid working: The places that you work from ...

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). ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What You Can Expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using ...

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 DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate ...

least one major cloud provider (AWS, Azure, or GCP).Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output ...

processes for ingesting, transforming and processing data from multiple sources Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data … complex enterprise environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ ...

requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior level Employment type Full-time ...

principles. Experience optimising cloud infrastructure for performance, resilience and cost efficiency. Key Skills: AWS (ECS, Auto Scaling Groups, ALB, CloudFront, Lambda, RDS Aurora, ElastiCache, Redshift, S3, MSK, Control Tower) Terraform & Infrastructure as Code Linux (Ubuntu) Bash/Shell scripting Docker PHP 7/8 SQL, MySQL & PostgreSQL ...

rare opportunity to play a key role in rebuilding a modern cloud-based data platform while working with cutting-edge technologies including AWS, Redshift, Power BI, SQL, and Python . If you thrive on solving problems, uncovering insights and building data solutions that drive business value, we'd love ...

growStrong stakeholder engagement skills and ability to shape solutions from ambiguityCuriosity and a passion for turning data into meaningful business valueAdvantageousExperience working with AWS Redshift, dbt and DatabricksExperience with AI, M/L tooling and data preparation as well as data orchestration and cataloguingWhat you can expect from us...Meaningful ...

solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion Architecture principles. Build and maintain ETL/… integration environments. Key skills and experience Proven experience designing and delivering AWS-based data platforms. Strong hands-on experience with services such as S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Experience implementing Medallion Architecture, including Bronze, Silver and Gold data layers. Strong data engineering experience across batch ...

built your career on AWS this is one where that depth actually gets used. AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis ...