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Company Description Aqilea is an IT and engineering consulting partner that helps companies get more out of their technology and operations. With teams in Stockholm and Bangalore, we work closely with our clients to build solutions that fit their needs - from software development, AI and infrastructure engineering to industrial automation and embedded systems. We combine robust technical expertise with a practical, business-focused approach to help organizations modernize, improve security, and scale with confidence. Above all, we focus on long-term partnerships built on trust, quality, and real results. With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility. About the Role Job Title: Data Engineer Experience: 5 9 Years Job Overview We are looking for an experienced Data Engineer to design, build, and optimize scalable data solutions. The ideal candidate will take end-to-end ownership of data products and work closely with cross-functional teams to develop reliable, high-performance data pipelines and platforms on Google Cloud Platform (GCP) . This role requires strong expertise in data engineering, cloud technologies, DevOps practices, and data modeling , along with the ability to collaborate with product teams to support data-driven decision-making. Key Responsibilities Design, build, optimize, and support existing and new data products aligned with the target architecture. Develop and maintain scalable data pipelines and processing frameworks on Google Cloud Platform (GCP) . Implement and manage CI/CD pipelines , Terraform , and cloud infrastructure following DevOps best practices. Ensure data products meet security, scalability, observability, and performance standards . Collaborate closely with Product Owners and stakeholders to understand business requirements and deliver high-quality data solutions. Work with cross-domain product teams supporting data mesh architecture concepts . Identify opportunities to improve data platforms and reduce technical debt . Stay up to date with the latest data engineering, analytics, and cloud technologies . Required Skills & Qualifications 59 years of overall experience in data engineering or related roles . At least 4+ years of hands-on experience with Google Cloud Platform (GCP) . Robust experience with GCP tools such as Dataflow and BigQuery . Experience with Data Build Tool (DBT) . Proficiency in SQL and data query languages . Experience with data formats such as Avro and Parquet . Strong programming skills in Python, Java, or Scala . Experience ingesting data from on-premise systems and other cloud platforms such as Azure . Good understanding of data modeling techniques and architectural trade-offs . Knowledge of NoSQL and relational databases (RDBMS) . Familiarity with data visualization tools . Start: Immediate to 15 Days Employment Type: Full-time Location: Bangalore (Hybrid) .
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.