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Company presentation https://www.tkaccelis.com/ Your responsibilities - Design, build, and enhance batch and near-real-time data pipelines using Microsoft Fabric workloads such as Data Pipelines, Lakehouse, Warehouse, Notebooks, and OneLake. - Create reusable ingestion, transformation, and orchestration patterns that support scalable analytics and AI consumption across business domains. - Implement trusted data products by embedding data quality checks, validation rules, metadata enrichment, certification workflows, and lineage capture. - Work closely with architects, analysts, scientists, and application teams to translate business requirements into robust, high-performing data solutions. - Partner with governance and security teams to ensure data is appropriately classified, cataloged, protected, and compliant with enterprise standards. - Optimize platform performance, reliability, and cost across storage, compute, and pipeline execution. - Contribute to engineering standards, peer reviews, design documentation, and mentoring of less experienced team members. Your profile Experiences - Minimum 5 to 7+ years of professional experience in data engineering or closely related cloud data roles. - Track record of delivering production-grade data pipelines and data products in Azure or similar cloud environments. - Experience working in cross-functional teams using agile delivery practices. - Experience with regulated, enterprise-scale, or multi-domain data environments is highly desirable. Skills - Hands-on expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, OneLake, and Dataflows. - Strong programming and query skills in SQL, Python, and PySpark; KQL is an advantage. - Solid experience with ELT/ETL design, medallion architecture, data modeling, data quality, and performance tuning. - Practical knowledge of metadata management, lineage, cataloging, and enterprise data governance, ideally with Microsoft Purview. - Good understanding of Azure platform fundamentals such as identity, storage, networking, and governance controls. - Robust collaboration and communication skills with the ability to explain technical concepts clearly to business and technical stakeholders. Contact details tkMits-IN-Recruitment@thyssenkrupp-materials.com Employer seals https://www.tkaccelis.com/ Job Reference: 0 RS APA00075 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.