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Data Engineer Permanent Dublin/Hybrid Requirements We are looking for an innovative data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Position Responsibilities: As a Data Engineer within Advanced Analytics team, you will: • Play a large role in the implementation of complex features • Push the boundaries of analytics and powerful, scalable applications • Build and maintain analytics and data models to enable performant and scalable products • Ensure a high-quality code base by writing and reviewing performant, well-tested code • Mentor junior engineers and teammates • Drive innovative improvements to team development processes • Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features • Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate Qualifications: • 4+ years of full stack engineering experience in an agile production environment • Experience leading the design and implementation of large, complex features in full-stack applications • Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it • Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses • High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms • Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting • Experience in cloud technologies like Databricks/AWS/Azure • Strong technologist with proven track record of learning new technologies and frameworks • Customer-centric development approach • Passion for analytical / quantitative problem solving • Experience identifying and implementing technical improvements to development processes • Collaboration skills with experience working with people across roles and geographies • Motivation, creativity, self-direction, and desire to thrive on small project teams • Superior academic record with a degree in Computer Science or related technical field • Strong written and verbal English communication skills
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.