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Designs, builds, and maintains end-to-end batch and near-real-time data pipelines and curated datasets on AWS (Glue, S3, Redshift, Athena, EMR) using SQL, Python/PySpark, dbt, and Airflow, with data quality checks, monitoring, and production support for enterprise analytics. Sydney-based; telco experience desirable.
Principal Data Engineer at Qantas shaping and leading its enterprise data platforms: designing scalable cloud data solutions, setting engineering standards, driving FinOps and delivery assurance, and mentoring engineers. Core stack is Snowflake, AWS, dbt, SQL, Python, Apache Airflow, and Terraform.
Principal-level data engineer leading Qantas' enterprise data platforms: designing scalable cloud data solutions, setting engineering standards, driving FinOps, and mentoring engineers. Core stack is Snowflake, AWS, dbt, SQL, Python, Airflow and Terraform, in a hybrid role at the Mascot campus in Sydney.
Consulting data engineer at Intelligen in Sydney, working in an integrated delivery team to re-engineer, optimise, and domain-align client data models and pipelines. Core focus is hands-on dbt and Snowflake engineering (schema design, performance tuning, warehousing best practices) within enterprise data transformation engagements.
Senior engineer in Eraneos' Dutch Data & AI consulting team who designs, builds and runs sovereign data platforms for clients from open-source components — Iceberg, Trino/Spark, Kubernetes/OpenShift — deployed on-prem, on EU cloud or hyperscalers. Daily hands-on coding plus architecture choices and client-facing technical leadership.
Data & AI Engineer role in the Netherlands: build AI-powered applications such as Genie, Mix Modelling and dashboards, and help shape a modern data warehouse. The stack is Python, Snowflake, dbt and Power BI, with flexible hours and room for professional growth.
Data & AI Engineer at Markteffect, a fast-growing Dutch market research agency, building AI tools (LLMs, prompt engineering, AI evaluation), a Snowflake/dbt data warehouse, APIs and Power BI dashboards in an internal tech team based in Eindhoven/Amsterdam. Dutch at C1 level is a hard requirement.
Senior data engineer at Eraneos, a Dutch management & technology consultancy, building fully open-source data platforms for clients: batch ingestion with dlt, modeling with dbt/SQL into lakehouse tables (Iceberg/Delta/DuckLake), orchestration with Airflow/Dagster, and serving data via Trino/DuckDB/PostgreSQL and Superset dashboards. Client-facing role across multiple projects.
Freelance (zzp) medior data engineer for EDSN's multidisciplinary Data & Analytics team, building and maintaining data pipelines, ETL processes, dbt transformations and Kimball-style data models in a modern cloud data platform. Core stack is Python, SQL, dbt and Git/CI-CD, with Snowflake, Airflow and AWS as pluses.
Data Engineer at Just Eat Takeaway.com in Amsterdam designing scalable ETL/ELT pipelines on GCP for the Partner and Sales data team, scaling measurement datasets for ML and analytics. Day to day involves building pipelines with Airflow, dbt, SQL, and Python in a hybrid role (3 days in the Amsterdam office).
12-month contract AI Data Engineer for a product-led fintech trading platform in the Netherlands. Day to day: build a centralised data warehouse and Python pipelines, own ML models for churn/segmentation/personalisation, and prototype LLM-powered tools using SQL, Python, dbt/AWS Glue and AWS SageMaker.
Data engineer at the Province of Noord-Holland (Haarlem, hybrid) building reliable data pipelines, lakes/warehouses and datasets that support policy and public services. Core stack: Python, SQL, Airflow/dbt/Spark/Kafka, cloud platforms; work in an agile product team, with excellent Dutch required.
Medior data engineer at EDSN (Netherlands) who unlocks, transforms, and models data from multiple sources in a modern cloud data environment. Day to day: building data products and ETL pipelines, ensuring data quality, and writing dbt and SQL transformations, supported by CI/CD, Git, and AWS in an Agile team.
Lead Data Engineer at Hippo Digital, a digital consultancy serving public- and private-sector clients. Day to day: technical lead/SME designing and building reliable data pipelines with Python, SQL, Snowflake, dbt and AWS/Azure/GCP, while coaching engineers, managing stakeholders, and contributing to bids. Office-based near one of their UK offices.
Management Level F Notified, Your Story Begins Here We are Notified, the only technology partner dedicated to both investor relations and public relations professionals. We help our clients control and amplify the…
PLEASE NOTE THIS ROLE IS FOR OVERSEAS APPLICATION, NON -U.S. ONLY. NO DOMESTIC (U.S.) APPLICATIONS WILL BE CONSIDERED. Marketing Analyst We are looking for an experienced Marketing analyst to support our marketing…
Head of Data Engineering at Safran Aero Boosters in Belgium: you lead the data team, own ETL/ELT pipelines built with Talend, dbt and SQL, and ensure the quality and feeding of the data lake and data warehouse, working with the CDO to prioritize the backlog and deliver in agile mode.
Ravago is hiring a Senior Data Engineer in Belgium to design and optimize its modern data platform, consolidating ERP systems and other data sources into a single source of truth. Day to day involves building scalable, AI-ready data solutions with Snowflake, dbt, and Kimball modeling alongside architects, analytics engineers, and BI developers.
Head of Data Engineering at Safran Aero Boosters (Belgium) leads and mentors a team of data engineers, running agile delivery of ETL/ELT pipelines with Talend, AWS Glue and DBT that feed a data lake (S3) and Snowflake warehouse, while coordinating with the CDO and business units on data quality, governance and platform direction.
Senior Data Engineer at Ravago in Belgium designing, building, and optimizing the company's modern data platform on Snowflake — using SQL, dbt, and Kimball dimensional modeling to consolidate multiple ERP sources into one source of truth, plus data quality, security, CI/CD, and AI/Cortex-powered use cases.
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