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Data Engineer in Melbourne building and maintaining data models with SQL, dbt, and Streamlit, integrating new data sources into a broader revenue modelling platform. Works across data engineering and application development alongside senior engineers.
Senior individual contributor who owns KoBold's operations data systems end to end — data modeling, ETL/API integrations, and platform maintenance — supporting an AI-driven mineral exploration company. Core stack: SQL/PostgreSQL, ETL, dbt, AWS/S3, and Foundry, while mentoring junior analysts.
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As an Applied AI Solutions Engineer at Solid, you will lead technical deployments, bridging enterprise data with AI systems. You'll develop custom Python integrations, build semantic models, and manage client relationships to deploy AI workflows using technologies like SQL, Snowflake, Databricks, and dbt.
Product Manager leading Vuori's Enterprise Analytics pod: owns the semantic layer, executive dashboards, certified metrics, and data governance, while running a scrum team and partnering with executives. Requires 5+ years in product/BI/analytics and hands-on experience with BI/semantic-layer platforms like Looker, Power BI, or dbt.
Senior data architect at Hydrafacial who owns the enterprise data architecture for SkinHealth Systems' analytics platform — defining data models, governance, and integration standards across Snowflake, dbt, Power BI, and ERP/CRM/SaaS sources. Hybrid role (2 days/week in office) based in Long Beach, CA.
A BI Business Analyst at NKT Photonics (a Hamamatsu company) in Birkerød, Denmark, building and maintaining Power BI dashboards on top of Snowflake/dbt, automating finance processes, and helping drive data-driven decisions across finance and the wider organization. Office-based role with close collaboration between BI, Finance, and IT.
Hands-on Data Engineering Manager in India leading Guardant Health's AWS-based enterprise data platform — architecting and scaling data pipelines, platforms, and data products for oncology analytics and AI-enabled solutions while hiring and mentoring a team of data engineers. Core stack: AWS (S3, Redshift, Glue, Lambda, Kinesis), Spark, Kafka, Airflow.
At iwoca, an SME lending fintech, this London-based FP&A & Data Analyst builds and maintains the datasets, SQL pipelines and monthly operating model behind budgeting, forecasting and board reporting, while helping develop the company's forecasting platform using tools like Snowflake, Looker, dbt and AI assistants. No finance qualification is required.
A hands-on Data Engineer at Global (a UK media company) who designs, builds and maintains scalable batch and near real-time data pipelines and helps evolve the Global:IQ data platform powering AI-driven products and audience intelligence. Core stack includes Python, SQL, Snowflake, Airflow, dbt and AWS, with CI/CD and infrastructure-as-code practices.
A senior frontend engineer owning the entire UI surface of a small AI-focused innovation pod at Lula in Cape Town — rapidly building polished, production-credible interfaces in React, using AI tools (Cursor, v0) as core workflow, and integrating with backend APIs without a senior peer to escalate to.
Leads Moneris' data engineering function from the Toronto office, owning the data platform roadmap including a Snowflake migration and legacy EDW modernization while coaching an onshore/offshore team. Core stack includes Snowflake, Databricks, DBT, Python/Scala/Java, cloud platforms, plus CI/CD, IaC, and PCI DSS compliance.
Senior Data Engineer at Cove, a flexible-living/coliving platform in APAC, building ETL/ELT pipelines with dbt and BigQuery from sources like MongoDB, SQL, Google Sheets, Google Analytics and APIs. Also builds Looker Studio dashboards, enforces data quality, and partners with operations, sales, finance and tech stakeholders.
Scientific Games, a lottery and sports betting technology company, seeks a remote (US) Data Analyst to build reports, dashboards, and reusable analyses on cloud data platforms — mainly Databricks — using SQL, Python, and version control to help internal teams and lottery customers make operating decisions.
Data analyst acting as the analytical partner to the Operations team at a healthcare patient-advocacy startup: analyzing marketplace supply/demand, advocate utilization, and the patient journey, building self-serve dashboards in Hex, and refining SQL/dbt data models on Snowflake.
A Senior ML Engineer on HelloFresh's Benefits Personalization squad in Toronto (hybrid) owns end-to-end data infrastructure powering personalized customer offers and incentives — architecting, building, and operating production ML data pipelines using AWS, PySpark, Kafka, Kubernetes, Airflow, Databricks, dbt, and Tecton.
Get to Know Rivia Mind At Rivia Mind, we believe great mental health care begins with a human connection. Where We Are: We are a psychiatrist-owned mental health practice rooted in New York City, serving individuals…
At Heartland Family Service, we are committed to building a culture that is trauma informed and values and celebrates diversity and inclusion. We believe this allows for better service delivery and innovation, as it…
About the Role Working as a therapist is deeply meaningful—and we also know it comes with real challenges. At Wellity Health, we’re committed to being upfront about both. We’re currently hiring full-time Associate…
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