1 to 25 of 32 Amazon Redshift Jobs in the South East

from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

and performance, resolving any issues proactively. Key skills required: Strong Data Engineering experience, preferably within the media or entertainment industry. Strong expertise in AWS & Redshift, including performance tuning, data modeling, and schema design. Hands-on experience with Matillion (or similar) ETL/ELT processes. Proficiency in SQL & Python Proven More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯

Data including: Understanding of Data Warehouse Architecture, Data Governance, Data Security Frameworks Experience with Cloud Platforms (e.g. Azure, AWS, GCP) and tools (e.g. Snowflake, Redshift, Azure Synapse) Data Visualisation e.g. Power BI, Tableau, Looker The charity typically leans towards Microsoft solutions so this are the more likely to be More ❯

with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

best practices, coding standards, and development processes Familiarity with debugging and troubleshooting ETL processes. Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, Redshift and Postgrace etc.). Design and implement complex data transformation logic using Informatica PowerCenter transformations Develop, test, and implement ETL workflows and mappings using More ❯

managing modern data platforms and cloud environments (e.g. Azure, AWS, GCP) Familiarity with BI tools (Power BI, Looker) and data warehousing platforms (e.g. Snowflake, Redshift) Comfortable in build-phase environments — someone who thrives on shaping new functions and culture Why This Role is Unique You’ll own data transformation More ❯

a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

promoting a culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture … design a consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery More ❯

bricks · One or more of the following key technology skills: o Systems integration, APIs – REST, SOAP etc o SQL Server Integration Services (SSIS) o Amazon RedShift o Azure Synapse o SQL Server o Oracle Database o Oracle Data Integrator o Oracle Integration Cloud o Business Objects Data Services More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

ingestion, transformation, and delivery. Use Python to automate data workflows, support ETL processes, and enhance analytics capabilities. Work with relational databases such as MySQL, Redshift, and PostgreSQL to manage and model structured data. Leverage AWS cloud services including S3, Redshift, Athena, and Lambda to support data storage, querying … strong grasp of data modelling concepts. Proficiency in Python , particularly for data transformation, automation, and analytics. Hands-on exposure to AWS data services (S3, Redshift, Athena, Lambda) is a strong advantage. Understanding of BI/reporting tools and how to support business intelligence needs. Familiarity with version control systems More ❯

ingestion, transformation, and delivery. Use Python to automate data workflows, support ETL processes, and enhance analytics capabilities. Work with relational databases such as MySQL, Redshift, and PostgreSQL to manage and model structured data. Leverage AWS cloud services including S3, Redshift, Athena, and Lambda to support data storage, querying … strong grasp of data modelling concepts. Proficiency in Python , particularly for data transformation, automation, and analytics. Hands-on exposure to AWS data services (S3, Redshift, Athena, Lambda) is a strong advantage. Understanding of BI/reporting tools and how to support business intelligence needs. Familiarity with version control systems More ❯

technical expertise is not a prerequisite, a solid foundation in data technologies is required. SQL & Data Modelling: Strong experience with relational databases (e.g., MySQL, Redshift, PostgreSQL) Python for Data Processing: Experience in Python for automation, ETL, and analytics AWS & Cloud Data Technologies: Familiarity with AWS services such as S3 … Redshift, Athena, and Lambda is highly beneficial BI & Reporting Tools: Understanding of BI/MI platforms (e.g., Looker, Power BI, Tableau) Version Control & Engineering Best Practices: Experience with Git and collaborative coding workflows is beneficial Web & Behavioural Analytics: Familiarity with tracking tools like Google Analytics, Matomo, or server-side More ❯

and offshore Data Engineers, driving technical growth and ensuring effective collaboration. Design, develop, and optimise scalable data pipelines and infrastructure using AWS (Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation). Utilise PySpark for distributed data processing, ETL, SQL querying, and real-time data streaming. Architect and implement robust … and team management. 7+ years of hands-on experience in data engineering and ETL architecture. Deep expertise in AWS Data Services, including Glue, Athena, Redshift, Kinesis, Step Functions, and Lake Formation. Strong programming skills in Python and PySpark for data processing and automation. Extensive SQL experience (Spark-SQL, MySQL More ❯

Server, Oracle, MySQL, PostgreSQL, and NoSQL databases. Drive migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and Babelfish for Aurora. Implement Amazon RDS, Aurora, DynamoDB, and ElastiCache to replace legacy databases. Optimise database performance through sharding, partitioning, and caching strategies. Cloud-Native & Serverless Adoption Architect solutions … technical stakeholders. Experience leading technical teams and mentoring engineers. Ability to define modernisation roadmaps and business cases. Desirable Skills (Nice-to-Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines More ❯

scalable, and highly available IoT architectures in line with the AWS Well-Architected Framework . Create secure, reliable data pipelines integrating Lambda, DynamoDB, S3, Redshift , and CloudWatch for real-time analytics. Implement secure device communication using AWS IoT security policies and encryption. Optimize deployments for performance, scalability, and cost … AWS IoT Core , Greengrass , SiteWise , and Kinesis . Strong understanding of MQTT , JSON messaging, and device provisioning. Familiarity with AWS analytics and storage services: Redshift, DynamoDB, S3, CloudWatch . Proficiency in Python or Node.js . Deep knowledge of cloud security best practices : IAM, encryption, network security. Proven experience resolving More ❯