Senior Delivery Consultant: Data Analytics & GenAI 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 … 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, AmazonRedshift, 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. More ❯
the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … 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, AmazonRedshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - 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 More ❯
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 … 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 More ❯
ingest, process, and store large sets of financial data from various internal and external sources. Cloud Infrastructure Management : Leverage AWS services such as S3, Redshift, Lambda, Glue, and others to develop and maintain robust cloud-based data infrastructure. Automation : Use Terraform to automate infrastructure provisioning, deployment, and configuration, ensuring … efficiency and repeatability in cloud environments. Database Design & Optimisation : Design and optimise complex SQL queries, and relational databases (e.g., AmazonRedshift, PostgreSQL, MySQL) to enable fast, efficient data retrieval and analytics. Data Transformation : Apply ETL/ELT processes to transform raw financial data into usable insights for business … industries. Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing. Proven experience with AWS services (e.g., S3, Redshift, Lambda, ECS, ECR, SNS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud. Technical Skills (must have): Python: Proficient More ❯
role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of More ❯
various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯
various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯
or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc Would you like to join us as we work hard, have fun and make history? Apply More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Robert Half
platforms such as Microsoft Azure, AWS, or Google Cloud Platform. In-depth knowledge of cloud-native data services (e.g., Databricks, Snowflake, Microsoft Fabric, AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (e.g., Apache Kafka, Talend More ❯
AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience More ❯
AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience More ❯
AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience More ❯
AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience More ❯
to the role. The ideal candidate thrives in a fast-paced, dynamic environment, embodying a creative and analytical problem-solving approach, aligning with the Amazon motto to "Work Hard. Have Fun. Make History.". Key job responsibilities - Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards … our self-serve reporting tools. BASIC QUALIFICATIONS - Experience in the data/BI space - Experience with SQL - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel … or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with AWS solutions such as EC2, EMR, Glue, S3, Lambda and RedshiftAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯
ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯
ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯
presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. More ❯
broad exposure, technical ownership, and the opportunity to influence firm-wide data architecture. Key Responsibilities Build scalable data pipelines using AWS (Glue, Lambda, EventBridge, Redshift) Ingest, normalise, and validate data from vendors (Bloomberg, Refinitiv, exchanges) Enhance platform capabilities for historical, real-time, and alternative datasets Monitor data quality and More ❯
City of London, Greater London, UK Hybrid / WFH Options
Radley James
broad exposure, technical ownership, and the opportunity to influence firm-wide data architecture. Key Responsibilities Build scalable data pipelines using AWS (Glue, Lambda, EventBridge, Redshift) Ingest, normalise, and validate data from vendors (Bloomberg, Refinitiv, exchanges) Enhance platform capabilities for historical, real-time, and alternative datasets Monitor data quality and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Radley James
broad exposure, technical ownership, and the opportunity to influence firm-wide data architecture. Key Responsibilities Build scalable data pipelines using AWS (Glue, Lambda, EventBridge, Redshift) Ingest, normalise, and validate data from vendors (Bloomberg, Refinitiv, exchanges) Enhance platform capabilities for historical, real-time, and alternative datasets Monitor data quality and More ❯
broad exposure, technical ownership, and the opportunity to influence firm-wide data architecture. Key Responsibilities Build scalable data pipelines using AWS (Glue, Lambda, EventBridge, Redshift) Ingest, normalise, and validate data from vendors (Bloomberg, Refinitiv, exchanges) Enhance platform capabilities for historical, real-time, and alternative datasets Monitor data quality and More ❯
a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯
a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯
and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with More ❯
