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Design, develop and maintain scalable data pipelines on Azure and Databricks. Collect, transform and integrate data from multiple internal and external sources. Ensure data quality, consistency, traceability and governance across the data platform. Manage and optimize Azure Data Lake, Databricks workspaces and distributed data processing environments. Develop data models and datasets to support grid studies, scenario management and business analytics. Enable and support AI, Machine Learning and advanced analytics use cases by providing trusted and well-governed datasets. Explore and implement AI-driven solutions to improve data quality, automate processes and enhance decision-making. Implement monitoring, automation and performance optimization of data workflows. Collaborate with business stakeholders to translate data requirements into technical and AI-enabled solutions. Maintain technical documentation in Markdown and Confluence. Requirements: Fluent in Python (Pandas, Polars) with proven project experience. Knowledge of R (particularly data.table) is considered as a strong asset. Fluent with advanced Excel features and VBA. Advanced knowledge of SQL and data access frameworks. Knowledge of outscaling technologies (e.g., Databricks, Azure, PySpark) is required. Good understanding of scalable and distributed data processing. Ability to develop and maintain data pipelines, analytical datasets, and data products. Experience building dashboards and reporting solutions using Power BI or Streamlit. Ability to transform complex data into actionable insights and KPI monitoring tools. Familiarity with AI/ML concepts and AI-enabled data solutions is an asset. Experience with Git and collaborative software development practices. Strong focus on code quality, maintainability, and knowledge sharing. Experience documenting solutions using Markdown and Confluence. Prior experience in the energy sector, power systems, or grid planning is a strong plus. Bachelor's degree in IT, Computer Science, Data Engineering, or equivalent experience; Master's degree is a plus. Fluent in English; knowledge of Dutch and/or French is a strong advantage.
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.