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Erfolg beginnt dort, wo Erfahrung auf Exzellenz trifft und Daten echte Wirkung erzeugen. Wir sind die AI & Data Performance Company – mit über 750 Datenenthusiastinnen und -enthusiasten in Deutschland, Österreich,…
Location Our Data Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to…
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide…
A hands-on senior engineer who designs and operates a growing biotech's MLOps and data platform — building cloud-native data pipelines on AWS/GCP, productionising ML and scientific workflows with Python, Docker and Kubernetes, and establishing CI/CD, monitoring, and governance so research code becomes reliable, governed production systems.
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life…
Software Engineering Focus / Data Modeling / AI & Agentic Systems Clear Fracture is building AI-driven data integration systems that enable organizations to connect, transform, and reason over complex data using…
A Senior Data Engineer will design and build a modern cloud data platform (pipelines, data models, governance) for a Boston-area investment management organization, partnering directly with business stakeholders. Core stack: Snowflake, dbt, Python, Terraform, cloud infrastructure, and AI-assisted development tools.
Sole data engineer / BI developer at Respo, owning data end to end: building Grafana dashboards, developing the data warehouse, ETL/ELT pipelines and data models (Python, SQL, Mongo), integrating new sources, and defining KPIs and metrics directly with the board and business teams.
Junior data engineer in Barcelona who owns public-tender data sources end to end: building and maintaining scrapers for national tender portals, parsing messy HTML/XML, running orchestrator flows, dedup/merge, and AI enrichment (LLM extraction, embeddings, OCR). Stack: Python, PostgreSQL, Prefect, AWS.
Own end-to-end data pipelines at Cato that scrape national tender portals in Spain and Italy, then merge, deduplicate, enrich (LLM extraction, embeddings, OCR) and deliver tenders to customers. Core stack: Python, PostgreSQL, Prefect, K3s/ArgoCD, AWS; on-site in Barcelona.
A hands-on Senior Data Engineer in Riyadh who builds and scales a company data platform end to end: batch and streaming pipelines, lakehouse architecture on AWS (S3, Glue, Athena, Redshift), transformations with dbt, orchestration, and data quality/governance. Requires 8+ years of data engineering experience.
About Us We are reimagining how people buy and navigate healthcare. More than 80% of Americans receive health insurance through an employer or purchase coverage through individual and Medicare exchanges. Yet the…
Hands-on AI/ML engineering lead at Protective Life who owns the path from ML/GenAI experimentation to governed production on Azure Databricks. Day to day: setting MLOps standards with MLflow, building RAG/LLM systems, mentoring ML and data engineers, and ensuring model reliability, monitoring, fairness, and regulatory compliance.
Builds and scales Resurs Bank's AML/KYC customer identity platform: designing secure, scalable AWS cloud-native APIs in Java/Spring Boot with Kubernetes, Kafka, RabbitMQ, Postgres/MongoDB, Elastic and Dagster data pipelines, with heavy daily use of AI-assisted coding tools. On-site in Skåne län, Sweden, at a Nordic niche bank.
Senior engineer on Resurs's Customer Identity Platform team in Helsingborg, designing, building, and operating scalable, compliant AML/KYC APIs. The stack centers on Java/Spring Boot microservices on AWS with Kubernetes, RabbitMQ, and PostgreSQL/MongoDB, plus Kafka/Dagster data pipelines.
Designs and runs scalable, secure data platforms (lakes, lakehouses, warehouses) for a Malaysian bank, building batch/streaming ETL pipelines, cloud infrastructure on AWS/GCP/Azure, and CI/CD with IaC, governance, and observability. Requires 5+ years in data/platform engineering with Python/Java/Scala, Spark, and cloud data services.
Your role As a Data Engineer, you will build the data foundations that Saturn’s products, AI systems, operations and decision-making depend on. Saturn is a Series A, Y Combinator-backed company building the AI-native…
Data Engineer at Zinco, a tech-driven advisory firm for Spanish SMEs in Madrid. You'll design data models and build ETL pipelines that unify scattered tax, finance and payroll data to power AI agents, analytics and automations, working with Python, SQL (BigQuery/Postgres), Airflow/Dagster and GCP in a hybrid setup (~3 days/week in the office).
Compensation: ₹8L – ₹10L • No equity About Us We are an AI-driven analytics platform startup focused on building automated decision-making solutions. Our current focus is Athena, our decision intelligence product for…
Compensation: $35k – $48k • No equity We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project. The role is focused on building, maintaining, and optimizing scalable data pipelines,…
