🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Job Summary We are seeking a highly skilled Senior Data Engineer with robust expertise in Databricks, Snowflake, and modern data engineering practices. The ideal candidate should have hands-on experience in building scalable batch and streaming data pipelines, optimizing Spark jobs, and working with large-scale distributed data systems. Key Responsibilities - Design, develop, and maintain scalable data pipelines (batch & streaming) - Build and optimize data processing workflows using PySpark and SQL - Work with Databricks for data processing, cluster management, and job orchestration - Implement and manage data pipelines using Delta Lake architecture - Integrate data from multiple sources including Kafka and cloud storage systems - Ensure data quality, governance, and reliability across pipelines - Collaborate with cross-functional teams for data platform enhancements - Troubleshoot and debug Spark jobs for performance optimization Required Skills - Strong experience in Databricks and Snowflake - Proficiency in Python, PySpark, and SQL - Experience with Apache Airflow for workflow orchestration - Hands-on experience with Kafka (real-time streaming pipelines) - Experience with GitHub-based CI/CD deployments - Strong understanding of Spark internals, optimization techniques, and debugging - Experience in Databricks cluster (DBX) management - Hands-on experience with Delta Lake pipelines - Knowledge of Databricks Asset Bundles (DAB) Good to Have - Experience with cloud platforms (AWS / Azure / GCP) - Knowledge of data lake architectures and medallion architecture - Experience in handling large-scale data (TB/PB level) Soft Skills - Strong communication and collaboration skills - Ability to work in a fast-paced environment - Problem-solving mindset Qualifications - Bachelors degree in Computer Science, Engineering, or related field Notes - Candidate should be comfortable working on both batch and streaming data pipelines - Strong focus on performance tuning, scalability, and reliability is expected What We Offer - Opportunity to work on modern cloud data platforms - Challenging, high-impact data projects - Collaborative and engineering-driven culture We Offer - Flexible working hours (self-managed) - Competitive salary - Annual bonus, subject to company performance - Access to Udemy online training and opportunities to learn and grow within the role About Mindera At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact in their users and businesses across the world. You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment. Follow our Linkedln page - https://tinyurl.com/minderaindia Check ot our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook Our offices are located: Aveiro, Portugal | Porto, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India .
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.