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Job Title: Senior Data Engineer (Azure) Location: Ahmedabad, GujaratExperience: 4+ years Job Type: Full Time Department: Data Engineering About Simform: Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market. Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow. Role Overview: We are looking for a Senior Data Engineer (Azure) who is passionate about managing large-scale data, eager to take on challenges, and committed to delivering exceptional results. This role requires expertise in Azure data services, ETL pipelines, and database management. If you are a proactive problem solver with a strong technical background and a team player with a positive attitude, we want to hear from you. Key Responsibilities Design, develop, monitor, and maintain end-to-end data pipelines on Microsoft Fabric.Work with Microsoft Fabric services such asFabric Pipelines (ETL/ELT)Fabric Dataflows Gen2Fabric Lakehouse (Bronze/Silver/Gold architecture)Fabric Warehouse (SQL analytics engine)OneLake (unified storage)Fabric Notebooks (PySpark / Spark SQL)Direct Lake mode for Power BIFabric KQL Database / Eventstream / Real-Time HubFabric Shortcuts (crossworkspace & multi-cloud virtualization)Semantic ModelsData Activator (alerting / action triggers) For ingestion, transformation, modeling, analytics, and real-time processing. Develop and optimize data ingestion, transformation, and analytical workflows for structured and unstructured data.Design efficient data models to ensure optimal performance in data processing and storage.Implement large-scale data ingestion pipelines capable of handling TBs of data.Build distributed batch or real-time data solutions using Apache Kafka, Apache Airflow, Databricks, or Fabric Real-Time Hub components.Build and maintain ETL/ELT pipelines for data integration and migration.Work extensively with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB).Optimize SQL queries, performance tuning, indexing, partitioning, and denormalization strategies.Collaborate with cross-functional teams, including data scientists and software engineers, to integrate data solutions into production environments.Ensure data quality, integrity, governance, lineage, and compliance with security best practices.Participate in client interactions and stakeholder meetings to gather requirements and provide technical insights. Required Skills & QualificationsBachelors/Masters degree in Computer Science, Data Engineering, or a related field.4+ years of hands-on experience in data engineering, ETL development, and data pipeline implementation.Proficiency in Python and SQL for data processing and analysis.Strong expertise in Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, Warehouse, OneLake, Notebooks, Direct Lake, KQL Database, Real-Time Hub, Eventstream, Shortcuts, Semantic Models).Experience with big data frameworks like Spark, Kafka, and Airflow.Working knowledge of cloud data warehouse solutions such as Synapse, Snowflake, Redshift, or BigQuery.Experience with NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB) and relational databases.Strong analytical and problem-solving skills.Ability to work independently, mentor peers, and meet tight deadlines.Excellent interpersonal and communication skills.Experience with cloud-based data architecture and security best practices.Fabric certifications are a plus (DP600, DP700, Fabric Analytics/Data Engineer Associate). Preferred Qualifications (Nice to Have)Experience with data lake architectures.Knowledge of machine learning model deployment and data processing for AI applications.Prior experience in automated data pipeline deployment using CI/CD workflows.Why Join Us:Young Team, Thriving CultureFlat-hierarchical, friendl .
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.