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Lead the architecture and evolution of a hybrid enterprise data platform for an investment management firm, working hands-on with Snowflake, Airflow, Kafka, Python, and SQL across cloud and on-prem environments.
Senior Data Engineer designing and deploying ELT pipelines on Snowflake using dbt, Python, and Terraform for a financial services firm's data platform.
Data Engineer building and maintaining data pipelines for internal analytics using Python, SQL, Snowflake, AWS (S3, EMR, Airflow, Step Functions), SageMaker Studio, and Jenkins.
Analytics engineer based in Melbourne implementing reporting enhancements and automating data processes using PostgreSQL and Apache Airflow, collaborating with business stakeholders.
Build and optimize financial reporting pipelines and data warehouses using PostgreSQL and Apache Airflow, collaborating with stakeholders to deliver accurate, automated analytics.
This role involves developing and maintaining the Marvis Minis platform, an AI-driven network validation tool that runs on embedded devices and reports to cloud-based data pipelines. The engineer will work across the full stack, including embedded firmware, cloud services, and data processing systems using Go, C, and Python.
The Full Stack Software Engineer will transform a Streamlit-based prototype into a production-ready interface using Python, Java, and various frontend technologies. The role requires a Top Secret clearance and polygraph to work on data-intensive applications.
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
Product Data Scientist embedded in Product Management for a Home Improvement lending product, driving analytics, A/B testing, ML models, and data pipelines using SQL, dbt, and Python/R.
Build and operate petabyte-scale data transfer pipelines for sensor data from global automotive partners, using Python, Terraform, Azure, Flyte, and Kafka within a hybrid London-based team.
Senior Data Engineer at a consultancy designing and maintaining data pipelines, ETL systems, and data models using SQL, Python, cloud infrastructure (Azure/AWS), and big data technologies like Spark and Kafka.
Build and maintain production data pipelines and trusted data products in a Snowflake-based ecosystem using SQL, Python, and dbt, supporting analytics and AI across a global travel company's portfolio of brands.
Senior Data Engineer at Westpac Bank designing scalable data pipelines, mentoring a squad, and ensuring reliable service delivery using Hadoop, Spark, Airflow, and Terraform in an Agile/DevOps environment.
Senior Data Engineer on an 8-month contract building and maintaining banking data platforms, primarily using the Hadoop stack (HDFS, Spark) and Airflow for data orchestration within a large bank's technology team.
Senior Data Engineer mentoring a squad and scaling data platforms for a bank, working with Hadoop, Spark, Airflow, Terraform, CI/CD, and CDC/streaming data.
Senior Data Engineer on an 8-month contract at Westpac NZ, working across the Hadoop stack (HDFS, Spark), Airflow, Terraform, and CI/CD to build and maintain data platforms that support innovative banking products, while mentoring other engineers.
Senior Data Engineer mentoring a squad at Westpac NZ, collaborating with stakeholders to deliver innovative banking products using Hadoop, Airflow, CDC patterns, Terraform, CI/CD, and containerisation within an Agile and DevOps framework.
Senior AWS Data Engineer designing and building scalable data pipelines and curated data platforms on AWS using SQL, Python, dbt, and Airflow to enable reporting and analytics.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Senior data engineer on the Mapping team building scalable data pipelines, offline experimentation tooling, and route simulation services for a ride-hailing platform, using AWS, Databricks, Kubernetes, Airflow, and Spark.
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