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Company Background Our client is a leading life insurance company and part of a global financial services group. Founded in 1896 and headquartered in North America, the company offers a wide range of products, including annuities and life insurance, through a nationwide network of agents. Project Description The project involves a production system for managing clients and the life insurance programs in which they are enrolled. The specialist will be responsible for supporting the existing system and developing new features. Technologies Databricks, Unity Catalog, Delta Lake, Databricks Genie Advanced SQL Python Microsoft Azure What You'll Do Collaborate with a team of three engineers to develop and support data solutions in Databricks; Develop and maintain data processing workflows using Databricks, SQL, Python, and Delta Lake; Work with Unity Catalog to manage data access permissions, data lineage, and governance; Support the existing production system and participate in the implementation of new features and enhancements; Investigate and troubleshoot issues in Databricks data workflows and production processes; Collaborate with team members and stakeholders to deliver reliable data engineering solutions; Job Requirements 3+ years of professional experience in data engineering; Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders; Hands-on experience designing and developing data solutions in Databricks, including Databricks architecture, Unity Catalog, Delta tables, data lineage, access permissions, Databricks Genie, and notebooks; Advanced SQL skills, including writing complex queries and performing data transformations; Proficiency in Python for data processing, automation, and development of data engineering solutions; Professional experience working with Microsoft Azure cloud services and data platforms; Nice To Have Experience using Databricks AI capabilities, including Agent Bricks, and implementing Generative AI and RAG solutions in Databricks; Experience working with Azure data services, including Azure Synapse, Synapse pipelines, Azure Data Factory, and Azure SQL pools; Experience setting up CI/CD processes for Databricks solutions using Azure DevOps, Databricks Asset Bundles, and Infrastructure as Code practices; Experience with performance tuning for Databricks workloads, SQL queries, and data processing pipelines; Databricks Certified Data Engineer Professional certification; Databricks Certified Generative AI Engineer Associate certification; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.