Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
A senior data engineer owns and monitors the ETL pipeline behind a Lloyd's Market insurer's monthly, quarterly, and year-end finance close, while migrating legacy on-prem SSIS systems to a cloud-native platform built on Azure Data Factory and Databricks, with heavy T-SQL performance tuning.
A confirmed data engineer joins Onepoint's data expertise pole to build and run end-to-end data solutions on Microsoft Azure and Fabric — developing pipelines with Azure Data Factory/Fabric, managing storage and processing (ADLS Gen2, Synapse, OneLake), and preparing optimized datasets for Power BI and analysts. Requires 3+ years of data/BI experience, ideally in consulting, with strong SQL and ET
Join our Data Engineering team and help clients transform their business through modern Data & AI solutions We're looking for experienced Data Engineering professionals who are passionate about Microsoft…
Senior data engineer role in Manchester building and optimising The Growth Company's internal cloud data platform, enabling trusted, secure data for reporting, BI, analytics and AI-driven decisions. Core stack is Microsoft Fabric, Azure Synapse and Microsoft data integration tools.
Experienced data engineer (3+ years) at Onepoint's Strasbourg office, building and maintaining the unified data platform on Microsoft Azure and Fabric: robust ingestion pipelines (ADF), storage/processing on ADLS Gen2, Synapse and Lakehouse, plus data quality, governance and cost monitoring to serve Power BI analysts and business clients.
Senior Data Engineer owning data products and building scalable pipelines on Azure (Synapse, Databricks) using Python, SQL and PySpark. Day to day includes designing, building and optimizing pipelines, contributing to data modelling and target-state architecture, and collaborating with Business Analysts, Architects and Product Owners.
Senior Data Engineer (placed via IT staffing firm Levy) designing, building and optimising data pipelines and data products on Azure Synapse and Databricks with Python, SQL and PySpark, evolving platforms toward a Lakehouse/Medallion architecture and improving CI/CD, testing and data quality. Banking or financial services experience is a plus.
Senior Data Engineer at De Nederlandsche Bank (the Dutch central bank) in Amsterdam, working in the Statistics division to modernize the data platform — including migrating Azure Synapse Analytics to Azure Databricks — building scalable data pipelines with PySpark, Delta Lake and Python, and professionalizing CI/CD and DevOps practices. Hybrid role: 50% office, 50% home.
Why Us? In AIA Digital+, we serve as AIA’s Group-led Technology, Digital & Analytics hub by evolving innovative technology to shape the future. We aim to design & develop a detailed, human centered experiences…
Solutions Architect for Databricks' digital-native healthtech customers: owns end-to-end technical strategy, leads architecture discussions, and drives adoption of the Databricks data + AI platform (data engineering, ML/AI, real-time analytics) on public cloud, with hands-on Python/SQL work and preferred healthcare data-standards expertise.
A presales Solutions Architect at Databricks who owns the end-to-end technical strategy for customer accounts — leading architecture discussions, building custom demos, and driving platform adoption across data engineering, ML/AI, and real-time analytics. Core tech: Python, SQL, distributed data systems, public cloud (AWS/Azure/GCP), and the Databricks platform.
Solutions Architect at Databricks owning the end-to-end technical strategy for CPG and manufacturing customers — leading architecture discussions across data engineering, AI/ML and agentic systems, and driving platform adoption and production deployments on the Databricks lakehouse across public cloud (AWS, Azure, GCP).
A field solutions architect at Databricks who parachutes into strategic, time-boxed Benelux customer engagements (1-5 months), owning the architecture conversation and moving data engineering, ML/AI, and real-time analytics workloads from evaluation to production-grade technical wins on the Databricks platform using Python, SQL, and cloud data systems.
Solutions Architect at Databricks in London who owns the end-to-end technical strategy for Media, Entertainment and Agencies accounts — leading architecture discussions, building demos, and driving adoption of the Databricks Data + AI platform. Core skills: Python, SQL, distributed data systems (lakehouse/streaming), and public cloud (AWS, Azure, GCP).
Pre-sales Solutions Architect at Databricks covering Benelux strategic accounts from Amsterdam: owns customer technical strategy, leads architecture discussions, and drives adoption of the Databricks platform across data engineering, ML/AI, and streaming using Python, SQL, and public cloud. Office-based hybrid role with an initial 12-month fixed-term contract.
Design and deploy production AI/ML architectures on Databricks, including GenAI, LLMs, and MLOps pipelines, while guiding customers and shaping product roadmaps.
Design and implement large-scale data engineering and warehousing solutions for financial-services customers using the Databricks Data Intelligence Platform, guiding migrations and optimizing analytics workloads.
A senior data engineer role focused on designing, building, and troubleshooting enterprise-level data pipelines (real-time and batch) with Scala, Spark, Azure Databricks, Azure Data Factory, and SQL Server. Day to day involves translating business requirements into data solutions, ensuring data quality and governance, and mentoring junior engineers.
As a Solutions Architect at Databricks in Singapore, you own the end-to-end technical strategy for customer accounts — leading architecture discussions, building custom solutions and demos, and driving adoption of the Databricks data and AI platform. Core skills: Python, SQL, distributed data systems, and public cloud (AWS/Azure/GCP).
Designs and implements big data and AI architectures for enterprise customers, guiding them through Databricks' platform and open-source tools like Spark and MLflow.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
