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Senior Software Engineer at Sportradar in Ljubljana designs and runs the data analytics platform and pipelines that collect, transform, and warehouse large volumes of sports data for ML, analytics, and reporting. Core stack: Java, SQL, cloud data warehouses (Redshift/Snowflake/Athena/Presto), and streaming tech like Kafka.
Senior backend engineer on the Product Expansion team building core services and event-driven pipelines for Alternative Payments' accounts payable and analytics products. Day-to-day is Go (or similar) and Postgres service development with Kafka/RabbitMQ messaging, testing, and observability for systems processing financial transactions.
Site Reliability Engineer for the data platform at IMC, a quantitative trading firm in the Netherlands. Day to day: design, run, and harden data infrastructure (HDFS, Kafka, Dremio), improve observability, automate away toil, and drive architectural fixes using Python, SQL, Linux, Kubernetes, and infrastructure as code.
Data Engineer at NewData in Rotterdam (hybrid) builds reliable data pipelines, cloud infrastructure and data models that feed a data warehouse, with CI/CD automation in a small technical team. Stack includes dbt, Dagster and Docker, with room to gain experience in OpenTofu, DuckDB or Polars.
Senior Software Engineer building backend services, data pipelines, and ML infrastructure for an Australian education technology platform (Emapta's client), working permanently from home on a Melbourne-time day shift. Core stack: Python, FastAPI/Django, Airflow/dbt, SQL/DuckDB, and AWS.
Поддержка и развитие Корпоративного хранилища данных (DWH) и Корпоративный портал отчетности. Разработка и эксплуатация пайплайнов загрузки данных Уверенный Python и SQL; Опыт интеграции с API, обработки больших и…
Freelance consultant role in Lyon, France for a Data Science team rolling out generative AI services: gathering business needs, defining KPIs, building Streamlit dashboards, and industrializing and monitoring data pipelines using Snowflake, dbt, Airflow/Dagster, Git/GitLab, Docker, SQL and Python.
Analytics Engineer in Montreal who designs, develops, and maintains the data transformation layer and dimensional models that feed BI tools for technical and non-technical users. Core stack is SQL and dbt with cloud data warehouses (Snowflake, Redshift, BigQuery, Databricks), Git/CI-CD, and orchestrators like Airflow.
Senior Data Engineer at Asevia (Madrid AZCA office, partial remote accepted) leading end-to-end data projects and turning data into product, working across backend and frontend on the company's own data platform with Go, Python, Dagster, Docker, CI/CD, Terraform and cloud deployments.
Senior data engineer at an applied AI lab in Madrid, designing and running end-to-end data pipelines and production ML systems — from ETL/ELT ingestion to model deployment (batch, real-time or event-driven). Core stack: Python, orchestration tools (Airflow/Prefect/Dagster), FastAPI, Docker on AWS/Azure, plus MLOps practices.
Senior end-to-end data engineer at Asevia, a fast-growing Spanish group of tax/accounting/legal advisory firms investing heavily in tech, AI and e-invoicing. The hire turns data into product (ingestion, transformation, orchestration with SQL, Python, Dagster) and also works on Go backends, some TypeScript/React frontend and cloud deployment (Docker, CI/CD, Terraform), mostly on-site in Madrid.
Senior backend engineer building Currence's (Sightline Climate) AI backend and data layer — designing agentic workflows, RAG/LLM-powered data pipelines and evals in Python/Dagster over PostgreSQL, Elasticsearch and Iceberg on AWS. London-based with ideally 3+ days/week in the Farringdon office.
Software engineer with 5+ years' experience joining a hands-on AI data engineering team in London. Day to day: building AI back-end services and data layers — data pipelines, evals, and PoCs — using Python and Dagster, owning end-to-end solutions with product and research in a hybrid, startup environment.
Design, build, and run the ETL/ELT pipelines and BigQuery data warehouse that power a performance marketing agency's bidding, client reporting, and AI models. Day to day: orchestrating data flows (currently Windmill, with a migration on the table), writing Python/TypeScript transformations, using LLMs as pipeline steps, and keeping GCP costs efficient.
ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 10,000 passionate experts in 22 countries throughout Europe, APAC, Middle…
Overview In this Senior Data Engineer role you will design and optimize data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C#, while helping build a Snowflake-based data platform for a…
Driving Digital Technologies. Den digitalen Wandel begleiten und aktiv mitgestalten – unsere Mission bei citema. Mit unseren innovativen Ansätzen beraten und unterstützen wir unsere Kunden in den Technologiefeldern…
Data Engineer at Allume Energy building the data pipelines and models behind its SolShare solar products — powering the SolCentre dashboard and service tools, and laying data foundations for the SolOS energy platform. Day to day: Python, SQL, PostgreSQL, AWS (IoT Core, Timestream) and time-series energy data.
Designs and operates the data foundation behind the company's AI systems: owns pipelines, schemas, and data quality from source systems through the warehouse into retrieval and feature layers powering LLM pipelines and agentic workflows. Core stack: expert Python and SQL, Kimball dimensional modeling, Airflow/Prefect/Dagster, a major cloud, Kubernetes, and lakehouse table formats.
A hands-on Data Engineer at BCU Bank (P&N Group) building and maintaining data pipelines and curated datasets that power financial crime capabilities like transaction monitoring, sanctions screening, fraud detection, and regulatory reporting. Core stack includes SQL, Python/Scala/Java/Go, cloud data platforms (Snowflake, Databricks, etc.), and tools like DBT and Airflow.