1 to 25 of 60 DemandTrendPermanent Amazon Redshift Jobs in the UK

Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support … decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation … Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing More ❯

to design innovative data solutions that address complex business requirements and drive decision-making. Your skills and experience 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 with modern programming languages such … as Python, Java, and Scala. 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 structured and unstructured data sets. Your developed More ❯

SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI More ❯

SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI More ❯

SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI More ❯

Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version More ❯

Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version More ❯

Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version More ❯

with large-scale financial datasets to support reporting, analytics, and regulatory compliance. Develop and maintain ETL workflows using Python, PySpark, and SQL. Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build cloud-native data solutions. Ensure data security and compliance with financial regulations and standards. Troubleshoot and resolve data-related issues in production environments. Your Profile: Bachelor's More ❯

Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven by delivering quality work More ❯

and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer More ❯

solutions. Support and mentor junior engineers, contributing to knowledge sharing across the team. What We're Looking For Strong hands-on experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3. Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event More ❯

development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild More ❯

development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild More ❯

solving skills and ability to explain technical ideas to non technical audiences. Experience with real time data pipelines, event driven architectures (Kafka/Kinesis), or modern data warehouses (Snowflake, Redshift, BigQuery) is a plus. Our Benefits: Paid Vacation Days Health insurance Commuter benefit Employee Stock Purchase Plan (ESPP) Mental Health & Family Forming Benefits Continuing education and corridor travel benefits More ❯

Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code (Terraform, CloudFormation More ❯

data ecosystem. Key Skills & Experience: Proven experience as a Senior/Lead Data Engineer in a large-scale environment. Strong expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of More ❯

systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth More ❯

systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth More ❯

systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth More ❯

Kafka, dbt, or custom frameworks. • Working with structured and unstructured data at scale. • Backend development in Python (or similar), and familiarity with data APIs. • Cloud data platforms (e.g., AWS Redshift, Azure Synapse). • SQL and database design for analytics, reporting, and product use. • Agile collaboration with cross-functional teams. You don't need experience in rail - just curiosity and More ❯

data governance, data quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

data governance, data quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

the platform post-deployment About You Requirements Minimum of 8 years' experience in data engineering within cloud environments, preferably AWS, including use of services such as S3, Lambda, Glue, Redshift, and IAM Must be eligible for SC Clearance A strong understanding of secure data practices in government or similarly regulated environments Practical experience building and managing Python-based analytical More ❯

pipeline architecture What we're looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with AWS cloud platforms inlcuding S3, Redshift, Glue or Lambda Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible More ❯