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Set technical direction and help define a roadmap for reliable, scalable infrastructure data products. Design, build, and operate production ingestion and transformation pipelines, data models, and services for infrastructure usage, cost, ownership, and planning.
Standardize how the lab captures data. Sit with our cell line development, analytics, and molecular biology teams to define how samples, conditions and measurements are recorded, then build the ingestion tooling that makes the right way the easy way.
As a Data Engineer you'll build robust data products and pipelines, working deeply with Databricks and taking full ownership from initial requirements all the way through to production. You won't be working in a silo.
Unchain Data in Toronto is seeking a Software Developer on our Data Engineering team to build core datasets powering analytics, experimentation, and ML across our platform.
Leverage SQL databases and reporting tools to support the implementation of new IT capabilities and solutions through notifications, reports, and data services. Support organizational data needs by delivering SQL-based notifications, reporting, and visualization services.
Design and maintain sustainable business data models that serve as the single source of truth for reporting and analytics. Develop and optimize complex SQL transformations and ETL pipelines using Matillion to support business-critical use cases.
Build and run the pipelines that query AI systems and store their answers. Make measurements reproducible, monitored and cost-efficient. Model data so the dashboard and the KI Score Index can use it. Find and fix data quality issues before customers do.
Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives. Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value.
Building production pipelines using Databricks, PySpark, Python and SQL. Integrating industrial data from SCADA, DCS, OPC servers and process historians. Transforming raw operational data into structured, AI-ready datasets.
- 100000 per annum PermanentData Engineering Tech LeadLondon | Hybrid (2 Days) | Up to 100,000 + Bonus + Excellent BenefitsWe’re excited to be working exclusively with a leading international retailer, a group that is investing heavily in its data platform and looking for a…
Building and maintaining scalable pipelines in Python, SQL, Snowflake, Dagster, dbt and AWS. Owning projects end to end, from ingestion through to analytics. Building a proper staging and testing environment, and improving monitoring, alerting and data quality.
This is the rare role where you set the standards, define the architecture, and influence every key data decision as the company grows. You’ll be the first Senior Data Engineer → full ownership, autonomy, and technical direction.
Datenarchitektur & -modellierung: Konzeption und Realisierung skalierbarer Datenmodelle sowie der Aufbau, die Pflege und die Optimierung stabiler ETL-Strecken.
You will modernise SQL Server/SSIS/SSDT, build batch and real-time processing, and guide a small team of data engineers, collaborating with stakeholders. This hybrid role offers circ. £85K, with scope to introduce new tech and drive data governance, security and cost management.
You will be hands-on while engaging with senior stakeholders to shape data usage across the business. The role involves rebuilding and enhancing the Databricks platform, transforming data, and delivering solutions using Python, SQL and PySpark.
A leading AI Fintech company in Madrid is seeking a Senior Data Engineer with strong Python skills and experience with RAG systems. Si es así y confía en que este es el puesto ideal para usted, asegúrese de enviar su solicitud lo antes posible.