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Designs and improves data governance and metadata management for a client's online platform, focusing on data lineage, quality, and impact analysis. Core tech includes Ab Initio Metadata Hub, Databricks, PySpark, Azure Data Factory, and Python scripting for data pipelines.
A senior data platform role for the Inner Circle dating app: the person owns the data platform's architecture, tooling and roadmap, keeps end-to-end data pipelines reliable, and sets standards for CI/CD and infrastructure. Day-to-day focus includes data testing, deduplication, and correct timezone and attribution handling.
Sovos is hiring a Senior Data Engineer in Amsterdam to own its finance data platform end to end—designing Snowflake architecture and dbt models that power ARR, revenue recognition, and FP&A reporting—while ensuring data quality, on-call reliability, and compliance.
Senior Data Engineer at NS (Dutch national railway) in Utrecht, building and maintaining end-to-end data pipelines, datamarts, datasets, and dashboards that support travel guidance during disruptions, using Azure, Snowflake, SQL, Python, Databricks, Git, and Power BI.
Senior Data Engineer joining Enexis' sensor team to deliver data products for internal teams and operational processes such as congestion management and grid calculations. Works with DBT, Snowflake, ETL and AWS in an interdisciplinary Agile/SAFe team, hybrid with 50% remote.
Senior data engineer at Dutch railway operator NS building realtime travel-guidance data products that directly help travelers during disruptions and replacement transport. Works in an autonomous multidisciplinary team, steering technical choices in Azure, Snowflake and Power BI, and develops AI analyses of traveler surveys and feedback.
Vormer IT is hiring a Senior Data Engineer in the Netherlands who goes beyond building pipelines: you'll design ETL processes, data platforms and BI solutions in Azure/AWS cloud environments, translate business questions into technical solutions, and ensure data governance and quality. Hybrid working and certification support included.
Senior Data Engineer at Dutch grid operator Enexis Netbeheer: turns raw sensor data into reusable data products for internal teams and supports operational processes such as congestion management. Works in an interdisciplinary sensor team (cloud engineer, Mendix developers) using dbt, Snowflake, SQL, Python and AWS.
Senior Data Engineer at DUO, the Dutch government's education executive agency, building and maintaining a datawarehouse (DIP). Day to day: design, develop, test and manage ETL processes in Informatica PowerCenter and Microsoft SQL Server, model data, automate data-quality checks (DataOps), and deliver reliable education datasets for ministry reporting and research.
Senior Data Engineer at NS (Dutch Railways) building end-to-end data products for the Reisbegeleiding cluster — pipelines, datamarts and dashboards used during disruptions and replacement train transport. Core stack: Azure, Snowflake, SQL, Python/Databricks, Power BI, plus AI applications on survey and feedback data.
Senior Data Engineer at Vormer IT (Netherlands) who collects, structures and presents data, builds and optimizes ETL pipelines, designs modern data platforms and BI dashboards, and advises clients on data architecture. Core stack: Oracle/SQL Server, Power BI, SSIS/SSAS, plus cloud (Azure, AWS) in Agile Scrum teams, hybrid working.
Senior Data Engineer builds and maintains multi-tenant data pipelines and KPI-ready datasets for Zinnov’s GCC Intelligence Platform, enabling reliable Finance and Hiring domain analytics using PostgreSQL, Python, and Azure.
Avaloq is hiring a Senior Data Platform Engineer in Bioggio, Switzerland to design, build, and operate a scalable, governed data platform serving security, audit, operational, and analytics workloads. The role centers on batch and streaming pipelines, data modeling, and data quality/governance using Python, SQL, and modern lakehouse/SIEM tooling.
Senior Data Platform Engineer at Avaloq Group in Bioggio, Switzerland, designing, building, and operating a scalable data platform for analytics, security, and governance. Day to day involves developing batch and streaming pipelines, defining data models, and implementing data quality controls in collaboration with security, infrastructure, and application teams.
Appliscale (remote-first technology consultancy) is hiring a Senior Data Engineer to design, build, and optimize scalable data pipelines and data models for a Data Foundation ecosystem, automating workflows and ensuring data quality/compliance. Core stack: Python, DBT, Airflow, PySpark, Databricks, and AWS.
PwC NZ is hiring a Senior Analyst in its Data team (Wellington or Auckland) to design and build scalable, cloud-based data platforms and ETL/ELT pipelines using Azure, Fabric, Databricks and Snowflake, blending hands-on data engineering with stakeholder engagement across the full project lifecycle.
Accentuate Consulting is hiring a contract Senior Data Engineer in Auckland to work in a hybrid on-site team building modern data platforms for major NZ/Australian clients. Day to day involves designing scalable data pipelines, governance, and data architectures using Databricks, with a focus on performance optimization across projects.
Hands-on contract Senior Data Engineer at Accentuate Consulting in Auckland, embedded with a client engagement designing and optimising data pipelines and platforms. Core tech: Databricks, Azure Data Factory, and data lake/warehouse/Lakehouse patterns; not a people-management role.
Senior Data Engineer in Wellington building the architecture to scale a global SaaS data platform's data capability as traffic and ingested data grow. Day-to-day centers on large-scale data warehousing (Snowflake, Redshift, or ClickHouse), Python and advanced SQL, AWS data tools, plus Terraform and CI/CD. NZ work rights are required.
Senior Analyst data engineering role at PwC New Zealand, working with clients on enterprise transformation programmes to design, build, and optimise cloud data platforms and ETL/ELT pipelines using Azure, Microsoft Fabric, Databricks, and Snowflake. Day to day mixes SQL/Python/Spark development, data analysis, governance, and stakeholder engagement.
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