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We are seeking an experienced Manager to lead a team responsible for the development and maintenance of our Connected Vehicle enterprise data and data products. The ideal candidate will have a strong technical background in data and/or software engineering, along with proven leadership and management skills. This role requires the ability to design and code streaming solutions, prioritize team tasks, make timely decisions, run results-focused meetings, and guide the team to deliver high-quality results. The leader must be knowledgeable in data governance, customer consent, and security standards. Responsibilities: Lead and mentor a high-performing team of local and remote engineers. Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed. Provide technical expertise and guidance to the team. Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines. Oversee the design, development, maintenance, scalability, reliability, and performance of the connected vehicle data platform pipelines and architecture. Contribute to the long-term strategic direction of the Connected Vehicle Data Platform with a focus on enterprise use. Communicate decisions effectively and transparently to internal and external customers. Accurately and routinely track all prioritized work in JIRA to support both financial delivery tracking Enforce and ensure data quality, data governance, and security standards. Lead implementation and delivery of various business customers requests and logic into the data assets with optimized design and code development. Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy. Stay updated on industry trends and emerging technologies to inform technical decisions. Qualifications Required: Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics. 5 years of progressive responsibilities in a complex streaming data environment. 5+ years experience leading a software/data engineering team. 5+ years of experience in Big Data Environments or expertise with Big Data tools. Expertise in Google Cloud Platform and Services for End-to-End Data Engineering Expert knowledge and hands on experience in DevOps and SDLC. Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc). Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies. Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability. Even better you may have: Expertise in other public cloud environments: Amazon Web Services, Microsoft Azure, etc. Hands on experience on AI Engineering
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.