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🚀 We are looking for a Data Engineer! Technical Skills: Databricks Ecosystem: Proficiency in building, managing, and optimising Databricks Workspaces and Notebooks. Experience with Databricks Unity Catalog for data governance, access control, and metadata management. Knowledge of Databricks Workflows (Jobs, Orchestration). Distributed Computing (PySpark): Strong hands-on experience using PySpark (Spark DataFrames, Datasets, and RDDs) for large-scale data processing. Deep understanding of Spark Architecture: Drivers, Executors, Workers, Partitions, Memory Management, and Shuffle operations. Ability to tune and optimise Spark applications (handling data skew, broadcast joins, caching strategies, and memory tuning). Languages & Data Warehousing: Python: Familiarity with data analysis libraries (e.g., Pandas, NumPy) and standard library automation scripts. SQL: Expert-level SQL skills (complex JOINs, Window functions, CTEs, Aggregations, and Query Tuning). Experience with Spark SQL for data transformation and analytics. Data Architecture & Pipeline Engineering Data Pipelines & ETL/ELT: Designing, building, and maintaining high-volume batch and real-time streaming data pipelines (Structured Streaming). Implementation of Medallion Architecture (Bronze, Silver, and Gold layers) using Delta Lake. Incremental data loading patterns (Change Data Capture - CDC, MERGE INTO, Auto Loader). Data Warehousing Concepts: Knowledge of data modelling techniques (Dimensional Modelling, Star/Snowflake Schemas, Data Vault). Cloud Infrastructure, CI/CD & DevOps (Nice to Have / Preferred) Cloud Providers: Hands-on experience with Azure, integration with Databricks (e.g., AWS S3, Azure ADLS Gen2, Snowflake). DevOps & Software Engineering Practices: Version control using Git (GitHub, Azure DevOps, or GitLab). Experience with CI/CD pipelines for deploying Databricks code (using Databricks Asset Bundles, Terraform, or REST APIs). Automated testing for PySpark jobs (pytest) and data validation tools (e.g., Great Expectations) 📍 Workplace: Lisbon 🏢 Work model: 2x a week at the office 📩 Apply here or send me your updated CV to vanessa.romao@quickops.pt ⚠️ Only candidates residing in Portugal will be considered.
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.