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About the Company We are seeking a skilled Senior Data Engineer with expertise in cloud-native data pipeline development within Microsoft environments. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement high-performance data solutions that support our business objectives. You will play a key role in driving data-driven decision-making and enabling scalable analytics solutions across the organization. About the Role Required Qualifications to be successful for the senior role: Responsibilities Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration (ex. Medallion). Proficiency in cloud-native engineering, with a focus on Microsoft technologies (Fabric, Azure Data Factory, Synapse) but open to other cloud platforms (AWS, Google Cloud) with comparable tools. Hands-on experience with data warehousing and data lake solutions (e.g., BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift). Proficiency in programming languages such as Python (with data-related libraries: e.g. Pandas, Boto3), SQL, or Spark. Strong knowledge of RDBMS (e.g., Oracle, MS SQL Server) or NoSQL databases (e.g., MongoDB, ElasticSearch, GBQ). Experience with DevOps/DataOps practices, including CI/CD pipelines. Ability to implement data validation, lineage, documentation, and monitoring at scale. Proven ability to optimize pipelines and storage solutions for performance, cost, and reliability. Qualifications Minimum 5 years of experience in data engineering, with a focus on cloud-native solutions and data architecture. English proficiency should be at least B2 level. Required Skills Ability to evaluate trade-offs and make clear, defensible technical choices. Translate complex engineering decisions into clear, accurate explanations for non-technical stakeholders. Uplift and mentor mid/junior engineers, enforce standards, and foster a collaborative technical culture. Break down ambiguous, complex problems into clear, actionable steps and drive them to resolution. Take responsibility for outcomes, anticipate issues, and drive long-term platform evolution.
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.