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Head of Technical Product Management
About Us Abacus Insights is transforming how data and AI work for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.…
Senior Cloud Data Engineer - Azure, Lakehouse & AI
Senior Data Engineer at NTT DATA in Melbourne designing and building scalable data pipelines and ELT/ETL processes across cloud and on-premises sources. Day-to-day work centers on Microsoft Fabric and Azure services to deliver Lakehouse, Data Warehouse and Data Factory solutions.
Data Engineer
Data engineer on APM Communities' internal data team, building and supporting enterprise pipelines, models and reporting on Microsoft Fabric and Power BI. Day to day: data ingestion/transformation with SQL, Python and PySpark, Medallion-architecture lakehouse work, and secure, governed analytics for business stakeholders.
Azure Data Platform Engineer — Lakehouse & ETL Lead
Programmers.io is hiring an onsite Azure Data Platform Engineer in Redmond to design scalable enterprise data platforms and ETL/ELT pipelines, and to lead Lakehouse architecture using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold medallion layers.
Azure Data Platform Engineer – Hybrid (Redmond)
Hands-on data + services technical lead role at Programmers.io owning enterprise Azure data solutions: designing scalable data platforms and ETL/ELT pipelines and leading Lakehouse/Medallion architecture decisions using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers. Hybrid role based in Redmond.
Data Platform Engineer with Azure
Designs and builds scalable Azure data platforms: hands-on ETL/ELT pipelines, data warehousing/modeling, and Lakehouse/Medallion architectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers. Full-time onsite role in Redmond, WA.
Senior Data Engineer - Hybrid Platform Lead
HammondCare, an Australian dementia and aged-care provider, seeks a Senior Data Engineer in St Leonards NSW (hybrid, permanent). The role designs and optimises the enterprise data platform, pipelines, and integrations, drives a data lakehouse strategy, and mentors the data engineering team alongside Analytics and AI teams.
Data Engineer, Microsoft Fabric & Azure
Data engineer for a healthcare investment group's small, hands-on Data & AI team in Sydney: onboard portfolio healthcare businesses onto a central Microsoft Fabric and Azure platform, building ingestion pipelines, medallion-architecture transformations in Python/PySpark/SQL, and Power BI models while working directly with executives. $160K base + super + up to 20% bonus.
Data Platform Engineer//Azure Data Engineer
Senior (8+ yrs) Data Platform/Azure Data Engineer in Redmond, WA on a hybrid schedule (3 days onsite), designing and building scalable Azure data platforms, ETL/ELT pipelines, and Lakehouse/Medallion architectures using ADLS Gen2 and Delta Lake.
Data Engineer
Data Engineer at NTT DATA in Melbourne designing and building scalable data pipelines, Lakehouse and warehouse platforms on Microsoft Fabric and Azure (Data Factory, Synapse, Databricks) using SQL, Python and PySpark, with data quality, governance and CI/CD practices supporting analytics and AI initiatives.
Lead Data Engineer - Azure Databricks & MarTech
Data Engineering Lead at Nordic insurer If Skadeforsikring in Turku: mentor data engineers while delivering reliable data products on Azure Databricks, build a distributed Nordic team, set data ownership and quality standards, and promote DevOps in an agile MarTech/CRM lakehouse environment.
Data Engineering Lead (Azure Databricks)
Lead a new MarTech data engineering chapter at If Insurance, coaching data engineers while hands-on building reliable data products and pipelines on Azure Databricks. Core stack includes Databricks (PySpark/SQL), DBT, and Azure Data Factory; hybrid work with at least three days in office in Finland or Sweden.
Senior Data Engineer: Cloud Pipelines & Architecture
Senior data engineer (Data Engineer III) building and maintaining large-scale cloud data pipelines, lakehouses, and warehouses for a global financial-services/shared-services enterprise. Day to day: ETL/ELT design, data modeling, pipeline monitoring, and mentoring, using tools like Databricks, Snowflake, Airflow, Azure Data Factory, and Terraform.
Data Engineer III
Senior data engineer designing and maintaining large-scale cloud ETL/ELT pipelines, lakehouses, and warehouse structures for a global shared services / financial services enterprise, with data quality monitoring, CI/CD, governance, and mentoring duties. Core stack spans Azure/AWS/GCP, Databricks, Snowflake, Airflow, SQL, and Python/Scala/Java.
Data engineer in wealth management
Contract role for a senior data engineer supporting a wealth management business via a specialist consultancy: building Power BI dashboards with optimised DAX, advanced SQL, PySpark pipelines, and a Microsoft Fabric data platform with CI/CD. Remote with one on-site day per week in London or Birmingham; six-month initial engagement, outside IR35.
Data Engineer Confirmé Databricks - Lyon (Hybrid)
Confirmed data engineer designing, developing and maintaining robust data pipelines on Databricks with a focus on data quality and security. Works in Agile mode with Data Analysts and Data Scientists in a Lakehouse and cloud ecosystem to support clients' strategic decisions. Hybrid role based in Lyon, France.
Data Engineer IA & ML Pipelines — Hybrid (Paris)
Designs and industrializes data pipelines and architectures (Data Lake, Warehouse, Lakehouse), builds ML/DL models, integrates LLMs and generative AI, and creates BI dashboards with Power BI/Tableau/Metabase. Hybrid role in Paris (2–3 days/week) for someone with 3–5 years of experience and strong data-quality/governance rigor.
Data Engineer (H/F)
Data Engineer at Klanik, a Marseille-based IT consulting firm, designing and maintaining robust ETL/ELT data pipelines on the Azure ecosystem with a strong Microsoft Fabric component (OneLake, Data Factory, Data Warehouse, Power BI), plus data modeling, quality/governance, CI/CD practices, and collaboration with data science and BI teams.