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Responsibilities: Application Development & Maintenance: Collaborate with development teams to enhance and maintain Java-based enterprise workflow applications. Implement and optimize application performance,…
Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets. Our Singapore center is the 2nd…
Responsibilities Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines . Migrate and optimize data workflows from Talend to Spark (PySpark/Scala). Collaborate with data architects to define…
Builds scalable data pipelines and AI-facing integrations that power Agentic AI systems and enterprise analytics using Python, SQL, and cloud platforms.
Senior Data Engineer designing and optimizing scalable multi-cloud data pipelines and architectures on GCP and AWS using tools like BigQuery, Dataflow, Glue, dbt, and Airflow.
Lead the build-out of a modern data stack (ELT pipelines, streaming, warehousing) and mentor a combined data engineering/data science team while migrating legacy systems to cloud platforms like Redshift and Databricks.
Builds and optimizes data pipelines for Trailhead analytics, maintaining dashboards and enabling AI-ready insights using SQL, ETL tools, and Tableau for scalable reporting.
As a Senior Data Engineer at Aspire, you design, develop, and maintain data workflows and pipelines using technologies like Apache Airflow, PySpark, Hive, AWS, and Snowflake to ensure efficient data movement and quality, collaborating with cross-functional teams.
A Data Engineer at Kiwibank will build data products and support analytics/reporting solutions across the business, working with technologies like Snowflake, Python, Airflow, and AWS in a banking environment.
Designs and builds scalable cloud-based data pipelines and services for a New Zealand bank, using Python, Terraform, and AWS to enable data-driven decision-making and analytics.
Build cloud data products for analytics and reporting at Kiwibank, focusing on Snowflake, Python, Airflow, and AWS.
Senior Data Engineer working on a modern cloud-based data platform using AWS, Terraform, Snowflake, Airflow, and DBT. Responsible for delivering data solutions from requirements to production using agile frameworks, writing code and tests, and contributing to CI/CD practices.
Lead data pipelines (CDC and streaming) that capture changes from data stores and stream to Kafka/HDFS, mentor engineers, and deliver data products using Java, Python, Kafka, Hadoop, Spark, and Airflow.
Develop and maintain banking data pipelines using Java, Python, Kafka, and Hadoop. This senior role involves mentorship, ensuring regulatory compliance, and managing technical stability within a squad.
A senior engineer embeds with internal teams (Sales, Finance, etc.) to rapidly design and ship full-stack custom applications using modern AI tools, balancing speed, quality, and security while driving measurable business impact.
About Us: DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most…
We are hiring a Python Data Integration Engineer to join our Client Team: Actuals.io and take ownership of client integration pipelines from day one. This is a hands-on, build-heavy role. You won't be doing generic…
About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment…
About the Client Our client is an international Electronic Money Institution specializing in online payment processing solutions. They offer a range of services including payment gateway services, global payment…
Senior Data Engineer designing and operating ETL/ELT data pipelines in Python, Spark/Scala, and FastAPI for healthcare SaaS products, leveraging AI tools like Claude Code to accelerate development.
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