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Designs and maintains scalable data pipelines for Prime Video Advertising, processing streaming/batch data (structured/unstructured) via AWS tools (Glue, Redshift, EMR) and frameworks like Spark/Airflow to enable analytics and ad-targeting insights.
Salary: £100,000 - 100,000 per year Requirements: Experience as a Lead Data Engineer or Senior Data Engineer Expertise in designing and building data platforms end-to-end Deep hands-on experience with cloud-native data…
Data Engineer Location: Remote (UK-based) There may be occasional travel to Manchester or London for events and/or meetings About eComplete eComplete is a specialist growth partner focused on beauty, wellness, and…
Designs and optimizes large-scale cloud data pipelines and architectures for healthcare data, using Python, PySpark, and cloud platforms like Azure, Snowflake, and Databricks to ensure seamless data integration and performance.
The Junior Data Engineer will build and scale a modern data platform to support AI, BI, and analytics for a financial services company. The role involves developing ETL pipelines using Python, AWS, Spark, and dbt.
Senior Data Engineer building and managing AWS data pipelines and platforms for client projects, using AWS services, Spark, Airflow, and Infrastructure as Code.
Build and own dbt-powered data models for a cybersecurity SaaS company, turning messy datasets into clean insights and driving AI-first automation to shape business decisions.
Senior Analytics Engineer at Dashlane building complex data models with dbt, driving proactive business insights, and pioneering AI data agents. Core tech: dbt, SQL, Python, AWS, Claude Code.
Analytics Engineer building AI-ready data models with dbt and SQL on AWS, acting as a strategic partner to product and GTM teams in a B2B/B2C SaaS cybersecurity company.
Senior Analytics Engineer at Dashlane building complex data models with dbt/SQL, partnering with business teams to deliver data-driven insights, using AWS and AI tools like Claude Code, and mentoring peers.
Meet the YozmaTech YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated…
An internship role focused on contributing to data engineering and DevOps projects in fintech, collaborating with mentors to design solutions, build APIs, scripts, and enhance services using tools like BigQuery, Airflow, Kubernetes, and GCP.
Responsibilities and Requirements Manage and Optimise existing data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon…
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids…
***English version below*** Ingénieur Analytique Description du poste Nous sommes à la recherche d’un ingénieur analytique qui souhaite se joindre à notre équipe diversifiée et en pleine croissance à Montréal. Le…
Senior Data Analyst responsible for transforming financial data (superannuation, retirement, platforms) into actionable insights, regulatory reports, and improving data quality. Works with stakeholders, data stewards, and tech teams to build trusted data assets, maintain data integrity, and deliver business intelligence using tools like Power BI, SQL, and Python.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Build and optimize scalable data pipelines in AWS using Python, SQL, Spark, and Airflow to power analytics, ecommerce, and logistics systems.
Oversee enterprise data platform operations—data warehousing, ETL pipelines, BI, and cloud analytics—driving modernization via CI/CD, cloud adoption, and AI-driven automation at a healthcare organization.
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