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 pre-sales and deliver consulting engagements? Do you like to solve … Vetting Agency clearance (see ). 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, AmazonAthena, 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data infrastructure. Ability to work independently, solve complex problems, and contribute ideas proactively. Working Environment Hybrid working model More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data infrastructure. Ability to work independently, solve complex problems, and contribute ideas proactively. Working Environment Hybrid working model More ❯
Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in More ❯
Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in More ❯
Sunbury-On-Thames, London, United Kingdom Hybrid / WFH Options
BP Energy
and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯
guildford, south east england, united kingdom Hybrid / WFH Options
BP Energy
and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯
sunbury, south east england, united kingdom Hybrid / WFH Options
BP Energy
and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯
Responsibilities Proven experience as a Data Architect or Lead Data Engineer in AWS environments Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) Background in energy, trading, or financial markets is a strong plus Excellent knowledge of Python, SQL More ❯
Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯
data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. More ❯
data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. More ❯
desirable. Experience with Python for data analysis, ETL and automation. Experience working with large and complex data sets, data profiling and cleansing. Experience with AWS, in particular, Lambda, S3, Athena, or equivalent cloud technologies. Experience with Git. Strong written and verbal communication skills and experience engaging effectively with technical and non-technical stakeholders at all levels Demonstrate curiosity and More ❯
Milton Keynes, Buckinghamshire, South East, United Kingdom
Upbeat Ideas UK Ltd
sources. Document test results and provide detailed reports on data quality findings. Required Skills and Experience: Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. Strong understanding of data ingestion, parsing, aggregation, and schema validation processes. Proficiency in SQL for data querying and validation. Experience with Python for scripting and automation. Familiarity More ❯
engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a bonus e.g. Terraform, Drone, Kubernetes More ❯
features and ensuring high-fidelity cloud platform emulation to help developers test locally with speed and confidence. What you will be working on/responsible for Ensure Snowflake, Redshift, Athena, Glue, and future emulators are kept up to date with the latest syntax, behaviors, and APIs. Identify and resolve bugs, edge cases, and inconsistencies across emulated services. Maintain robust … including SQL engines, query planning, storage layers, indexing, and SQL parsing/ASTs, with experience developing database features. Hands-on experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery, including optimization techniques and custom parsers/transpilers. Practical knowledge of distributed and analytical engines (e.g., Apache Spark, Trino, PostgreSQL, DuckDB) with skills in query engines, performance More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
True North Group
platforms. The role focuses on AWS data services, IaC, CI/CD, and orchestration, supporting secure and scalable data operations. Responsibilities: Build and maintain AWS data services (S3, Redshift, Athena, Glue, Batch, Lambda, OpenSearch). Deliver Infrastructure as Code with Terraform. Manage workflows using Airflow and CI/CD pipelines (GitLab/GitHub). Monitor and secure data infrastructure … access, and usage. Support data engineering environments with recovery, optimisation, and automation. Troubleshoot issues and contribute to process/documentation improvements. Experience: Essential: Strong AWS services experience (S3, Redshift, Athena, Glue, Batch, Lambda, Step Functions, SQS, EMR). Terraform (IaC), Airflow (orchestration), CI/CD (YAML, GitLab/GitHub). Python, SQL, Bash. AWS security/IAM, VPC networking More ❯
will act as a bridge between business and technical stakeholders, working closely with engineers, architects, and product teams. Key Responsibilities SQL Data Model Analysis – Analyse Oracle SQL and AWS Athena data models; write and run SQL queries to validate structures and business logic. Requirement Review & Refinement – Review, refine, and maintain requirements based on current-state analysis and stakeholder input. … in Jira , and support iterative delivery. Required Skills & Experience 8+ years as a Technical Business Analyst in data platforms or migration projects. Strong SQL proficiency (Oracle SQL and AWS Athena). Hands-on experience with data model analysis, requirement capture, and refinement . Proven track record in cloud migration projects , ideally involving AWS. Familiarity with data warehousing, ETL/ More ❯
