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Senior Data Scientist generating medical insights and forecasts from longitudinal clinical datasets (genomics, imaging, labs) at a membership-based healthcare practice, using Python, SQL, Snowflake, dbt, and Omni Analytics.
Onside is seeking a Data Engineer to design and maintain reliable data pipelines and warehouse models using Python, SQL, and AWS technologies. The role involves collaborating with cross-functional teams to improve data quality and analytics while working on-site in Christchurch four days a week.
Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
Senior Python Developer building and improving software for QIS equity derivatives trading and structuring teams at Barclays, using Python, Docker, and Kubernetes with a strong SRE mindset.
The Senior Data Engineer will architect and scale a modern data platform by designing ETL/ELT pipelines and implementing DataOps practices. The role involves orchestrating data flows using tools like Airflow, Prefect, or Dagster and optimizing Snowflake schemas.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
Senior Data Engineer building a modern AWS-based data platform from scratch for a Nordic bank, designing pipelines, ensuring governance, and mentoring teammates in a hybrid role across Sweden.
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.
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 Full-Stack Developer architecting and building scalable, secure web applications and APIs for enterprise and government clients using React/Vue.js/Angular front-ends with Node.js/Python back-ends, plus ETL pipelines and cloud-native solutions.
Senior Data Engineer designing and evolving Data Products, data pipelines, and domain-oriented data models on Azure/Databricks to power AI-enabled business software.
Data Engineer building data warehouse and data management systems using SQL, major public clouds (AWS, GCP, Azure), and their data warehouses (Redshift, Synapse, BigQuery, Snowflake) along with orchestration tools like Airflow/Dagster.
Data Engineer designing, building, and maintaining production data pipelines and reporting on GCP/BigQuery with dbt, Python, and SQL for Ki, an algorithmic insurance carrier.
The Analytics Engineer will design and maintain dbt models on BigQuery to transform raw data into trusted datasets for analytics and ML. This role involves ensuring data quality, collaborating with stakeholders, and optimizing data pipelines within a fintech environment.
The Lead Data Platform Engineer will own the canonical data models and semantic layer, establishing data contracts and enabling self-serve analytics. The role involves working with a modern stack including BigQuery/Snowflake/Redshift, dbt, Python, and various orchestrators to ensure reliable and compliant data infrastructure.
Salary: £59,000 - 99,000 per year Requirements: 3 years building production backend systems Experience with cloud platforms, particularly AWS Python Ruby on Rails Kubernetes and Helm Charts IaC (Pulumi, Terraform)…
The Founding Senior Data Scientist will build and deploy machine learning models for banking products while establishing the company's ML infrastructure, evaluation frameworks, and production standards. The role requires a hybrid practitioner comfortable with both model development and the underlying systems architecture using tools like Python, Snowflake, and Kubernetes.
The Data Platform Engineer will design and build scalable data systems to support AI, BI, and analytics. The role involves replacing custom scripts with reproducible pipelines and managing core platforms including Snowflake, dbt, and Dagster.
The Data Platform Engineer will design and build production-grade data pipelines and systems to support analytics and AI initiatives. The role involves managing core platforms like Snowflake, dbt, and Dagster while driving data reliability and self-service tooling for the organization.
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